Northeastern University · Courses

CS

198 courses with the subject CS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

CS 11004 CRIM Elective 4 Elective 4 POLS Elective4

Subject: CS
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 11011 POLS Elective4

POLS 1150 4 Elective 4 POLS 1160 4 17 16 Year 2 Fall Hours Spring Hours Summer 1

Subject: CS
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 1200First Year Seminar1

Seeks to support students in their transition to Northeastern and in their holistic development as they become responsible members of the college and university communities. Incorporates large group discussion, small group activities, and self-reflection in order to facilitate connections with faculty, staff, and peers; promote utilization of appropriate campus resources; and assist with academic and personal goal setting.

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 1210Professional Development for Khoury Co-op1

Continues the preparation of students for careers in the computing and information fields by discussing co-op and co-op processes. Offers students an opportunity to prepare a professional resumé; practice proper interviewing techniques; explore current job opportunities; learn how to engage in the job and referral process; and to understand co-op policies, procedures, and expectations. Discusses professional behavior and ethical issues in the workplace.

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 1700Society of Minds: AI for Everyone4

Attribute(s): NUpath Analyzing/Using Data

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 1720Artificial Intelligence Platforms4

Attribute(s): NUpath Ethical Reasoning

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 1800Discrete Structures4

Corequisite(s): CS 1802Attribute(s): NUpath Formal/Quant Reasoning

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 1802Seminar for CS 18001

Corequisite(s): CS 1800

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 1990Elective1-4

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2000Introduction to Program Design and Implementation4

Corequisite(s): CS 2001Attribute(s): NUpath Formal/Quant Reasoning, NUpath Natural/Designed World

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2001Lab for CS 20001

Corequisite(s): CS 2000

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2100Program Design and Implementation 14

Prerequisite(s): CS 2000 with a minimum grade of D- or CIS 200M with a minimum grade of D- or CS 2500 with a minimum grade of D- Corequisite(s): CS 2101Attribute(s): NUpath Analyzing/Using Data, NUpath Natural/Designed World

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2101Lab for CS 21001

Corequisite(s): CS 2100

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2386Game Programming 14

Prerequisite(s): ARTG 2260 with a minimum grade of D- or ARTG 2262 with a minimum grade of D- or CS 2000 with a minimum grade of D- or CIS 200M with a minimum grade of D- or CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2500 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2484Principles of Human-Computer Interaction4

Introduces the foundational principles of human-computer interaction. Presents an overview of the field, focusing on methods for designing, prototyping, and evaluating user interfaces for computing applications. Emphasizes a human-centered design approach, exploring topics such as human capabilities and social factors that influence interface use. Covers design methods, best practices for ensuring usability and accessibility, and usability evaluation techniques.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2500Fundamentals of Computer Science 15

and CS 2501 and Lab for CS 2500

Subject: CS
Credits (min): 5
Credits (max): 5
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 2510Fundamentals of Computer Science 25

and CS 2511 and Lab for CS 2510 Computer Science Required Courses

Subject: CS
Credits (min): 5
Credits (max): 5
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 2535Professional Practicum4

Prerequisite(s): CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated twice for a maximum of 12 semester hours.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2545Introduction to Computer Science Research2

Introduces students to research in the fields of computer science, information science, data science, and cybersecurity. Explores how the scientific method is applied to these fields and covers the breadth of subareas of specialty that exist. Offers students an opportunity to practice how to locate and read scientific literature in different subareas. Also offers students an overview of graduate education in these fields.

Subject: CS
Credits (min): 2
Credits (max): 2
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2700Data Structures and Analysis4

Prerequisite(s): (CS 1800 with a minimum grade of D- or MATH 1365 with a minimum grade of D- or MATH 1465 with a minimum grade of D- or MATH 209M with a minimum grade of D- ); (CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- )Corequisite(s): CS 2701

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2701Lab for CS 27001

Corequisite(s): CS 2700

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2800Logic and Computation4

Prerequisite(s): ((CS 1800 with a minimum grade of D- or MATH 209M with a minimum grade of D- ) or (MATH 1365 with a minimum grade of D- or MATH 298M with a minimum grade of D- ) or MATH 2310 with a minimum grade of D- ); (CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2500 with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2810Mathematics of Data Models

Subject: CS
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 2963Topics. (12

Offers undergraduate students an opportunity to learn about timely issues, develop new skills, or explore areas of broad interest in an immersive, short-course format. Content and instructors vary by offering. May be repeated three times.

Subject: CS
Credits (min): 2
Credits (max): 2
Credit unit: Hours
Type: course
Repeatable: May be repeated three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2990Elective1-4

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2991Research in Computer Science1-4

Offers an opportunity to conduct introductory-level research or creative endeavors under faculty supervision. May be repeated three times.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 2992Research0

Offers an opportunity to document student contributions to research projects or creative endeavors.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3000Algorithms and Data4

Prerequisite(s): ((CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2510 with a minimum grade of D- or DS 2500 with a minimum grade of D- ); (CS 1800 with a minimum grade of D- or MATH 209M with a minimum grade of D- or EECE 2160 with a minimum grade of D- )) or CS 2700 with a minimum grade of D- Corequisite(s): CS 3001Attribute(s): NUpath Formal/Quant Reasoning

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3001Recitation for CS 30000

Corequisite(s): CS 3000

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3100Program Design and Implementation 24

Prerequisite(s): CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2510 with a minimum grade of D- or EECE 2560 with a minimum grade of D- Corequisite(s): CS 3101Attribute(s): NUpath Analyzing/Using Data, NUpath Natural/Designed World

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3101Lab for CS 31001

Corequisite(s): CS 3100

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3200Introduction to Databases4

Prerequisite(s): CS 2000 with a minimum grade of D- or CIS 200M with a minimum grade of D- or CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2500 with a minimum grade of D- or DS 2000 with a minimum grade of D- or DS 2500 with a minimum grade of D- or EECE 2560 with a minimum grade of D- Attribute(s): NUpath Analyzing/Using Data

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3250Data-Driven Product Management4

Prerequisite(s): DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- or MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3386Game Programming 24

Prerequisite(s): ((CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- ) or CS 2510 with a minimum grade of D- ); (CS 2386 with a minimum grade of D- or CS 3540 with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3484GUI Programming4

Prerequisite(s): CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2510 with a minimum grade of D- Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3500Object-Oriented Design5

and CS 3501 and Lab for CS 3500

Subject: CS
Credits (min): 5
Credits (max): 5
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 3520Programming in C++4

Prerequisite(s): CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2510 with a minimum grade of D- or DS 2500 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3540Game Programming (Integrative course)4

Subject: CS
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 3620Building Extensible Systems4

Prerequisite(s): ((CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- ) or CS 2510 with a minimum grade of D- ); ((ENGW 1111 with a minimum grade of C or WRIT 201M with a minimum grade of C ) or ENGW 1102 with a minimum grade of C or ENGL 1111 with a minimum grade of C or ENGL 1102 with a minimum grade of C )Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3650Computer Systems4

Prerequisite(s): CS 2510 with a minimum grade of D- or CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or EECE 2560 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3700Networks and Distributed Systems4

Prerequisite(s): CS 2510 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3800Theory of Computation4

Prerequisite(s): CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2510 with a minimum grade of D- or EECE 2160 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 3950Introduction to Computer Science Research

and CS 4950 and Computer Science Research Seminar and CS 4950 and Computer Science Research Seminar

Subject: CS
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 3990Elective1-4

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4050Artificial Intelligence and Society4

Examines the societal impact of artificial intelligence technologies and prominent strategies for aligning these impacts with social and ethical values. Offers multidisciplinary readings to provide conceptual lenses for understanding these technologies in their contexts of use.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4097Mixed Reality4

Prerequisite(s): CS 2386 with a minimum grade of D- or CS 3540 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4100Principles of Artificial Intelligence4

Prerequisite(s): DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- or (MATH 2331 with a minimum grade of D- ; MATH 3081 with a minimum grade of D- )Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4120Natural Language Processing4

Prerequisite(s): DS 4400 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4130Engineering LLM-Integrated Systems4

Prerequisite(s): CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- or DS 3500 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4150Game Artificial Intelligence4

Prerequisite(s): (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- ); CS 3520 with a minimum grade of D- Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4160AI Policy: Machine Learning, Markets, and Morals4

Prerequisite(s): (CS 3100 with a minimum grade of D- or DS 3500 with a minimum grade of D- ); (DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4180Reinforcement Learning4

Prerequisite(s): (CS 3100 with a minimum grade of D- or CS 3500 with a minimum grade of D- or DS 3500 with a minimum grade of D- ); (DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4220Information Retrieval4

Prerequisite(s): (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- or DS 3500 with a minimum grade of D- ); (DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4300Computer Graphics4

Prerequisite(s): (CS 2510 with a minimum grade of D- or CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- or EECE 2560 with a minimum grade of D- ); (CS 2810 with a minimum grade of D- or DS 3000 with a minimum grade of D- or MATH 1260 with a minimum grade of D- or MATH 2331 with a minimum grade of D- or MATH 2341 with a minimum grade of D- or MATH 315M with a minimum grade of D- )Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4350Empirical Research Methods4

Prerequisite(s): CS 2810 with a minimum grade of D- or DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- or ECON 2350 with a minimum grade of D- or BUSM 22EM with a minimum grade of D- or ENVR 2500 with a minimum grade of D- or MATH 2280 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or MGSC 2301 with a minimum grade of D- or BUSM 224M with a minimum grade of D- or PHTH 2210 with a minimum grade of D- or PSYC 2320 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4360Non-Interactive Computer Graphics4

Prerequisite(s): (CS 2810 with a minimum grade of D- or DS 3000 with a minimum grade of D- or CIS 250M with a minimum grade of D- or MATH 2331 with a minimum grade of D- ); (CS 3100 with a minimum grade of D- or CS 3500 with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4400Programming Languages4

Prerequisite(s): (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- ); (CS 3000 with a minimum grade of D- or CS 4800 with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4410Compilers4

Prerequisite(s): CS 4400 with a minimum grade of D- or CS 5400 with a minimum grade of C- or CS 7400 with a minimum grade of C- Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4500Software Development4

Prerequisite(s): (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- ); (ENGW 1102 with a minimum grade of C or ENGW 1111 with a minimum grade of C or WRIT 201M with a minimum grade of C )Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4520Mobile Application Development4

Prerequisite(s): CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4530Fundamentals of Software Engineering4

Prerequisite(s): CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- Attribute(s): NUpath Capstone Experience, NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4535Professional Practicum Capstone4

Attribute(s): NUpath Capstone Experience, NUpath Integration Experience, NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4545Research Practicum4

Prerequisite(s): (CS 2700 with a minimum grade of D- or CS 3000 with a minimum grade of D- ); (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or DS 3500 with a minimum grade of D- )Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4550Web Development4

Prerequisite(s): CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- or DS 3500 with a minimum grade of D- Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4610Robotics4

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4700Network Fundamentals4

Prerequisite(s): CS 3650 with a minimum grade of D- or CS 5600 with a minimum grade of D- or CS 5600 with a minimum grade of C- (Graduate)

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4730Distributed Systems4

Prerequisite(s): CS 3650 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4805Fundamentals of Complexity Theory4

Prerequisite(s): CS 3800 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4810Advanced Algorithms4

Prerequisite(s): CS 3000 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4820Computer-Aided Reasoning4

Prerequisite(s): CS 2800 with a minimum grade of D- ; CS 3000 with a minimum grade of D- Attribute(s): NUpath Capstone Experience

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4830System Specification, Verification, and Synthesis4

Prerequisite(s): CS 3000 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4850Building Game Engines4

Prerequisite(s): (CS 2386 with a minimum grade of D- or CS 3540 with a minimum grade of D- ); CS 3520 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4955Computer Science Teaching Seminar1

Prerequisite(s): CS 2500 with a minimum grade of D-

Subject: CS
Credits (min): 1
Credits (max): 1
Credit unit: Hour
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4970Junior/Senior Honors Project 14

Focuses on in-depth project in which a student conducts research or produces a product related to the student’s major field. Combined with Junior/Senior Project 2 or college-defined equivalent for 8 credit honors in the discipline project.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4971Junior/Senior Honors Project 24

Prerequisite(s): CS 4970 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4973Topics in Computer Science4

Prerequisite(s): CS 3000 with a minimum grade of D- ; (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- or DS 3500 with a minimum grade of D- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4990Elective1-4

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4991Research. (48

Prerequisite(s): (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- ); CS 3800 with a minimum grade of D- Attribute(s): NUpath Integration Experience, NUpath Writing Intensive

Subject: CS
Credits (min): 8
Credits (max): 8
Credit unit: Hours
Type: course
Repeatable: May be repeated up to three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4992Directed Study1-6

Prerequisite(s): (CS 3100 with a minimum grade of D- or CIS 310M with a minimum grade of D- or CS 3500 with a minimum grade of D- ); CS 3800 with a minimum grade of D-

Subject: CS
Credits (min): 1
Credits (max): 6
Credit unit: Hours
Type: course
Repeatable: May be repeated up to three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 4998Research0

Offers an opportunity to document student contributions to research projects or creative endeavors.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5001Intensive Foundations of Computer Science4

Corequisite(s): CS 5003

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5002Discrete Structures4

Introduces the mathematical structures and methods that form the foundation of computer science. Studies structures such as sets, tuples, sequences, lists, trees, and graphs. Discusses functions, relations, ordering, and equivalence relations. Examines inductive and recursive definitions of structures and functions. Covers principles of proof such as truth tables, inductive proof, and basic logic and the counting techniques and arguments needed to estimate the size of sets, the growth of functions, and the space-time complexity of algorithms. Also, discusses data structures such as arrays, stacks, queues, lists, and the algorithms that manipulate them.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5003Recitation for CS 50010

Corequisite(s): CS 5001

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5004Object-Oriented Design4

Prerequisite(s): (CS 5001 with a minimum grade of C- or CS 5001 with a minimum grade of C- ); (CS 5002 with a minimum grade of C- or CS 5002 with a minimum grade of C- )Corequisite(s): CS 5005

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5005Recitation for CS 50040

Corequisite(s): CS 5004

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5008Data Structures, Algorithms, and Their Applications within Computer Systems4

Prerequisite(s): (CS 5001 with a minimum grade of C- or CS 5001 with a minimum grade of C- ); (CS 5002 with a minimum grade of C- or CS 5002 with a minimum grade of C- )Corequisite(s): CS 5009

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5009Recitation for CS 50080

Corequisite(s): CS 5008

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5010Programming Design Paradigm4

Corequisite(s): CS 5011

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5011Recitation for CS 50100

Corequisite(s): CS 5010

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5047Exploring AI Trends and Tools4

Explores key ideas in artificial intelligence while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and nontechnical stakeholders. Analyzes topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact. Offers students an opportunity to obtain the knowledge and skills necessary to confidently navigate the ever-evolving landscape of AI.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5097Mixed Reality4

Seeks to provide a strong foundation in the fundamentals of virtual and augmented reality, broadly defined as mixed reality (XR), and hands-on experience developing XR applications. Offers students an opportunity to dive into this burgeoning area of research and practice in computer science. Given the complex nature of XR environments, this course synthesizes theoretical and practice knowledge from various disciplines, including computer graphics, 3D interfaces, human-computer interaction, tracking systems, and perceptual psychology (to name a few). XR technologies have recently witnessed a resurgence of interest.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5100Foundations of Artificial Intelligence4

Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5130Applied Programming and Data Processing for AI4

Corequisite(s): CS 5131

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5131Recitation for CS 51300

Corequisite(s): CS 5130

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5150Game Artificial Intelligence4

Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5170Artificial Intelligence for Human-Computer Interaction4

Prerequisite(s): CS 5100 with a minimum grade of C- ; CS 5800 with a minimum grade of C- ; CS 6140 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5180Reinforcement Learning and Sequential Decision Making4

Introduces reinforcement learning and the underlying computational frameworks and the Markov decision process framework. Covers a variety of reinforcement learning algorithms, including model-based, model-free, value function, policy gradient, actor-critic, and Monte Carlo methods. Examines commonly used representations including deep learning representations and approaches to partially observable problems. Students are expected to have a working knowledge of probability and linear algebra, to complete programming assignments, and to complete a course project that applies some form of reinforcement learning to a problem of interest.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5200Database Management Systems4

Attribute(s): NUpath Analyzing/Using Data

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5250Data Visualization with Web Technologies4

Introduces techniques and web technologies for visually communicating insights derived from data. Focuses on developing apps using open-source libraries to explore and actively manipulate data through interactive data visualizations. Critical discussion of case studies motivates experiments with a variety of technologies and techniques. Includes interactive charts, web maps, and algorithm visualization and emphasizes practical, real-world solutions.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5310Computer Graphics4

Prerequisite(s): MATH 2331 with a minimum grade of D- or graduate program admissionAttribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5330Pattern Recognition and Computer Vision4

Prerequisite(s): MATH 2331 with a minimum grade of D- or graduate program admission

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5335Robotic Science and Systems4

Introduces autonomous mobile robots with a focus on algorithms and software development, including closed-loop control, robot software architecture, wheeled locomotion and navigation, tactile and basic visual sensing, obstacle detection and avoidance, and grasping and manipulation of objects. Offers students an opportunity to progressively construct mobile robots from a predesigned electromechanical kit. The robots are controlled wirelessly by software of the students’ own design, built within a provided robotics software framework. Culminates in a project that connects the algorithms and hardware developed in the course with a selected topic in the current robotics research literature.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5340Computer/Human Interaction4

Covers the principles of human-computer interaction and the design and evaluation of user interfaces. Topics include an overview of human information processing subsystems (perception, memory, attention, and problem solving); how the properties of these systems affect the design of user interfaces; the principles, guidelines, and specification languages for designing good user interfaces, with emphasis on tool kits and libraries of standard graphical user interface objects; and a variety of interface evaluation methodologies that can be used to measure the usability of software. Other topics may include World Wide Web design principles and tools, computer-supported cooperative work, multimodal and “next generation” interfaces, speech and natural language interfaces, and virtual reality interfaces. Course work includes both the creation and implementation of original user interface designs, and the evaluation of user interfaces created by others. Requires knowledge of C programming language/UNIX.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5345Interactive Prototyping4

Focuses on the prototyping and implementation of usable graphical user interfaces using human-centered design principles. Covers fundamental concepts of user interface programming including event-driven programming, layout management, and state handling. Explores design patterns and usability principles through the design, prototyping, and implementation of modern user interfaces. Offers students an opportunity to build interactive and responsive applications while emphasizing usability.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5347Understanding Users4

Introduces basic and advanced frameworks and methodological tools for understanding and accounting for the characteristics, needs, and attitudes of individual users and user groups, ranging from traditional mental models to cutting-edge folk theorization approaches. Covers both how to understand users and how to account for how users themselves understand and adapt to systems from both a system design and sociotechnical system critique perspective. Explores and problematizes the idea of the “user” as compared to alternate approaches such as embedded community/cultural context and post-userism.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5350Computational Geometry4

Prerequisite(s): CS 5800 with a minimum grade of C- or CS 7800 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5400Principles of Programming Language4

Prerequisite(s): CS 5010 with a minimum grade of D- or CS 5004 with a minimum grade of B- or CS 5010 with a minimum grade of C- (Graduate)

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5500Foundations of Software Engineering4

Prerequisite(s): CS 5010 with a minimum grade of D or CS 5004 with a minimum grade of C or CS 5010 with a minimum grade of C Attribute(s): NUpath Capstone Experience, NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5520Mobile Application Development4

Focuses on mobile application development on a mobile phone or related platform. Discusses memory management; user interface building, including both MVC principles and specific tools; touch events; data handling, including core data, SQL, XML, and JSON; network techniques and URL loading; and, finally, specifics such as GPS and motion sensing that may be dependent on the particular mobile platform. Students are expected to work on a project that produces a professional-quality mobile application and to demonstrate the application that they have developed. The instructor chooses a modern mobile platform to be used in the course.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5540Game Programming4

Covers the skills needed to develop easily scalable and modifiable scripts that can be used to implement various game mechanics common to most game genres. Programming is an integral part of the digital game design and development life cycle. Designed as a foundational game programming course covering numerous aspects of game programming. At least one semester of programming experience in a high-level language is required.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5600Computer Systems4

Studies the structure, components, design, implementation, and internal operation of computer systems, focusing mainly on the operating system level. Reviews computer hardware and architecture including the arithmetic and logic unit, and the control unit. Covers current operating system components and construction techniques including the memory and memory controller, I/O device management, device drivers, memory management, file system structures, and the user interface. Introduces distributed operating systems. Discusses issues arising from concurrency and distribution, such as scheduling of concurrent processes, interprocess communication and synchronization, resource sharing and allocation, and deadlock management and resolution. Includes examples from real operating systems. Exposes students to the system concepts through programming exercises. Requires admission to MS program or completion of all transition courses.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5610Web Development4

Attribute(s): NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5700Fundamentals of Computer Networking4

Studies network protocols, focusing on modeling and analysis, and architectures. Introduces modeling concepts, emphasizing queuing theory, including Little’s theorem, M/M/1, M/M/m, M/D/1, and M/G/1 queuing systems. Discusses performance evaluation of computer networks including performance metrics, evaluation tools and methodology, simulation techniques, and limitations. Presents the different harmonizing functions needed for communication and efficient operation of computer networks and discusses examples of Ethernet, FDDI, and wireless networks. Covers link layer protocols including HDLC, PPP, and SLIP; packet framing; spanning tree and learning bridges, error detection techniques, and automatic repeat request algorithms; sliding window and reliable/ordered services; and queuing disciplines including FQ and WFQ. Introduces flow control schemes, such as window flow control and leaky bucket rate control schemes, and discusses congestion control and fairness. Requires knowledge of probability theory.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5800Algorithms4

Attribute(s): NUpath Formal/Quant Reasoning

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5850Building Game Engines4

Discusses the components of game engines and strategies for their software implementation. Includes graphics management algorithms (animation, scene graph, level of detail); basic artificial intelligence algorithms (search, decision making, sensing); and related algorithmic issues (networking, threading, input processing). Explores the use of data-driven software design. Offers students an opportunity to use a rendering engine and to build and integrate several software components to create a complete game engine. Requires students to work on individual assignments and then develop a project in a team, which requires a report. Offers students an opportunity to learn team/project management; work division; team communication; and the software development cycle of implementation, testing, critique, and further iteration. Requires knowledge of computer graphics, differential calculus, operating systems concepts, and algorithms.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5933Advanced Computer Science Topics for Teachers4

Subject: CS
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 5934Introduction to Inclusive Computer Science Teaching4

Program Credit/GPA Requirements 16 total semester hours required Minimum 3.000 GPA required

Subject: CS
Credits (min): 4
Credits (max): 4
Type: course
Edition: 2024-2025
Source: catalog.northeastern.edu

CS 5963Topics1-4

Offers students an opportunity to learn about timely issues, develop new skills, or explore areas of broad interest in an immersive, short-course format. Content and instructors vary by offering. May be repeated once for a maximum of 8 semester hours.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once for a maximum of 8 semester hours.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5964Projects for Professionals0

Offers students an applied project setting in which to apply their curricular learning. Working with a sponsor, students refine an applied research topic, perform research, develop recommendations that are shared with a partner sponsor, and create a plan for implementing their recommendations. Seeks to benefit students with a curriculum that supports the development of key business communication skills, project and client management skills, and frameworks for business analysis. Offers students an opportunity to learn from sponsor feedback, review 'lessons learned,' and incorporate suggestions from this review to improve and further develop their career development and professional plan. May be repeated twice.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated twice.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5965Engaging with Industry Partners for Rising Professionals0

Offers students an enhanced applied project setting in which to apply their curricular learning. Working with a partner sponsor, students refine an applied research topic, perform research, develop recommendations that are shared with the partner sponsor, and create a plan for implementing their recommendations. Curriculum supports students as they develop key business communication skills, project and client management skills, and frameworks for business analysis. Offers students an opportunity to learn from sponsor feedback, review lessons learned, and incorporate suggestions to improve and further hone their career development and professional plan. Career development opportunities through skill-building workshops, panels, and interview preparation are available. Partner-student interactions, including a culminating project presentation, allow partners to assess student potential for co-op, internship, or other employment opportunities with the partner. May be repeated two times.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 5976Directed Study2-4

Focuses on student examining standard computer science material in fresh ways or new computer science material that is not covered in formal courses. May be repeated up to three times.

Subject: CS
Credits (min): 2
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6120Natural Language Processing4

Provides an introduction to the computational modeling of human language, the ongoing effort to create computer programs that can communicate with people in natural language, and current applications of the natural language field, such as automated document classification, intelligent query processing, and information extraction. Topics include computational models of grammar and automatic parsing, statistical language models and the analysis of large text corpuses, natural language semantics and programs that understand language, models of discourse structure, and language use by intelligent agents. Course work includes formal and mathematical analysis of language models, and implementation of working programs that analyze and interpret natural language text.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6130Affective Computing4

Studies affective computing—computing that relates to, arises from, or influences emotions. Offers an overview of the theory of human emotion (how it arises from and influences cognition, the body, and the social environment) and computational techniques for modeling human emotion processes as well as for recognizing and synthesizing emotional behavior. Discusses how these can be applied to application design. Offers students an opportunity to gain a strong background in the theory and practice of human-centered computing as it relates to games, immersive environments, and pedagogical applications. Brings together students from different disciplines to work together and learn from each other. CS 6130 and PSYC 6130 are cross-listed.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6140Machine Learning4

Prerequisite(s): CS 5800 with a minimum grade of C- or CS 7800 with a minimum grade of C- Attribute(s): NUpath Capstone Experience

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6170AI Capstone4

Prerequisite(s): CS 5100 with a minimum grade of C- ; CS 5130 with a minimum grade of C- ; CS 5800 with a minimum grade of C- ; (CS 6140 with a minimum grade of C- or DADS 7275 with a minimum grade of C- or EECE 5644 with a minimum grade of C- )

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6180Foundations for Generative AI4

Prerequisite(s): CS 5100 with a minimum grade of C- or CS 5180 with a minimum grade of C- or CS 6120 with a minimum grade of C- or CS 6140 with a minimum grade of C- or CS 7140 with a minimum grade of C- or CS 7150 with a minimum grade of C- or DADS 7275 with a minimum grade of C- or EECE 5644 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6200Information Retrieval4

Provides an introduction to information retrieval systems and different approaches to information retrieval. Topics covered include evaluation of information retrieval systems; retrieval, language, and indexing models; file organization; compression; relevance feedback; clustering; distributed retrieval and metasearch; probabilistic approaches to information retrieval; Web retrieval; filtering, collaborative filtering, and recommendation systems; cross-language IR; multimedia IR; and machine learning for information retrieval.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6220Data Mining Techniques4

Prerequisite(s): CS 5800 with a minimum grade of C- or CS 7800 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6240Large-Scale Parallel Data Processing4

Prerequisite(s): CS 5800 with a minimum grade of C- or CS 7800 with a minimum grade of C- or EECE 7205 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6350Empirical Research Methods4

Presents an overview of methods for conducting empirical research within computer science. These methods help provide objective answers to questions about the usability, effectiveness, and acceptability of systems. The course covers the basics of the scientific method, building from a survey of objective measures to the fundamentals of hypothesis testing using relatively simple research designs, and on to more advanced research designs and statistical methods. The course also includes a significant amount of fieldwork, spanning the design, conduct, and presentation of small empirical studies.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6390Human-Centered Computing Capstone4

Offers students a culminating experience to demonstrate proficiency in key concepts learned throughout their program in the core and concentration courses. Designed to foster interdisciplinary collaboration, reinforce concepts in ethics and basic concepts in user research, and focus on delivering outcomes that have the potential to be demonstrated or presented at HCI venues.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6410Compilers4

Prerequisite(s): CS 5400 with a minimum grade of C- or CS 7400 with a minimum grade of C- Attribute(s): NUpath Capstone Experience, NUpath Writing Intensive

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6510Advanced Software Development4

Prerequisite(s): (CS 5004 with a minimum grade of B- or CS 5010 with a minimum grade of C- ); CS 5500 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6620Fundamentals of Cloud Computing4

Covers fundamentals of cloud computing, including virtualization and containers, distributed file systems and object stores, infrastructure as a service platforms, open source cloud platforms, key big data platforms, and topics in data center scale systems. Combines classroom material delivered via lectures, readings from literature, student presentations, and a semester-long software project.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6640Operating Systems Implementation4

Prerequisite(s): CS 3650 with a minimum grade of D- or CS 5600 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6650Building Scalable Distributed Systems4

Covers the essential elements of distributed, concurrent systems and builds upon that knowledge with engineering principles and practical experience with state-of-the-art technologies and methods for building scalable systems. Scalability is an essential quality of internet-facing systems and requires specialized skills and knowledge to build systems that scale at low cost.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6760Privacy, Security, and Usability4

Challenges conventional wisdom and encourages students to discover ways that security, privacy, and usability can be made synergistic in system design. Usability and security are widely seen as two antagonistic design goals for complex computer systems. Topics include computer forensics, network forensics, user interface design, backups, logging, economic factors affecting adoption of security technology, trust management, and related public policy. Uses case studies such as PGP, S/MIME, and SSL. Introduces basic cryptography and hash function as it is needed. Course work includes analysis of papers, problem sets, and a substantial term project.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6954Co-op Work Experience - Half-Time0

Provides eligible students with an opportunity for work experience. May be repeated without limit.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6955Co-op Work Experience Abroad - Half-Time0

Provides eligible students with an opportunity for work experience abroad. May be repeated once.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6962Elective1-4

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

Subject: CS
Credits (min): 1
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6964Co-op Work Experience0

Provides eligible students with an opportunity for work experience. May be repeated without limit.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6965Co-op Work Experience Abroad0

Provides eligible students with an opportunity for work experience abroad. May be repeated without limit.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6966Practicum2-4

Provides eligible students with an opportunity for practical experience.

Subject: CS
Credits (min): 2
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 6983Topics in Computer Science4

Offers various topics in computer science. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7140Advanced Machine Learning4

Prerequisite(s): CS 6140 with a minimum grade of C- or DADS 7275 with a minimum grade of C- or EECE 5644 with a minimum grade of C- or EECE 7204 with a minimum grade of C- or EECE 7313 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7150Deep Learning4

Prerequisite(s): CS 6140 with a minimum grade of C- or DADS 7275 with a minimum grade of C- or DS 5220 with a minimum grade of C- or EECE 5644 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7170Seminar in Artificial Intelligence4

Prerequisite(s): CS 5100 with a minimum grade of C- or CS 5100 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to five times for a maximum of 24 semester hours.
Repeatable up to: 5
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7180Special Topics in Artificial Intelligence4

Offers various topics on artificial intelligence. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7200Statistical Methods for Computer Science4

Introduces concepts in applied statistics. Covers frequentist and Bayesian characterization of uncertainty for continuous and categorical data, principles of experimental design, and methods of causal inference. Discusses the methodological foundations, as well as issues of practical implementation and use.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7240Principles of Scalable Data Management: Theory, Algorithms, and Database Systems4

Covers the algorithms, core principles, and foundational concepts for managing data at scale. Topics include data models, query languages, query execution and optimization, complexity of query execution and query resilience, data stream processing, parallel data processing, transactions, linear vs. relational algebra, factorizations, and uncertainty in logic. Requires standard CS knowledge of algorithms and hardness (e.g., a typical undergraduate class based on a standard algorithms textbook such as Ericson; Cormen, Leiserson, Rivest,and Stein; or Dasgupta, Papadimitriou, and Vazirani). Offers students an opportunity to gain hands-on experience through smaller assignments and a project. The project is flexible to allow students to explore scalable data management and analysis aspects related to their PhD research.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7250Information Visualization: Theory and Applications4

Covers foundational as well as contemporary topics of interest in data visualization to enable the effective representation of data across disciplines, including examples drawn from computer science, physical sciences, biomedical sciences, humanities, and economics. Topics include data visualization theory and methodology, visualization design and evaluation, visual perception and cognition, interaction principles, and data encoding and representation techniques. Students who do not meet course restrictions may seek permission of instructor.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7260Visualization for Network Science4

Covers the principles of information visualization in the specific context of network science. Introduces visual encoding of data and our understanding of human vision and perception; interaction principles including filtering, pivoting, aggregation; and both quantitative and human subjects evaluation techniques. Covers visualization techniques for several network types, including multivariate networks with attributes for entities and relationships, evolving and dynamic networks that change over time, heterogeneous networks with multiple types of entities, and geospatial networks. Offers students an opportunity to learn about the design of layout algorithms for node-link and matrix visualizations.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7268Verifiable Machine Learning4

Introduces verifiable machine learning, focusing on the limitations of current learning-based methods regarding safety and robustness. Explores adversarial robustness, uncertainty quantification, safety verification, reachability analysis, and safe/robust reinforcement learning. Examines neural network relaxations and their applications in robotics, control, image classification, medical diagnosis, and language modeling.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7270Seminar in Database Systems4

Prerequisite(s): CS 5200 with a minimum grade of C- or CS 5200 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7280Special Topics in Database Management4

Offers various topics. Possible areas include object-oriented database systems and distributed database systems. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7290Special Topics in Data Science4

Offers special topics in data science, including machine learning, statistics, data mining, parallel and distributed data analysis, database systems, information retrieval, knowledge representation, information visualization, natural language processing, computational biology and bioinformatics, computational social science, digital humanities, health informatics, business, and predictive analytics. May be repeated once for up to 8 total credits.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once for up to 8 total credits.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7295Special Topics in Data Visualization4

Offers various topics in data visualization. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7300Empirical Research Methods for Human Computer Interaction4

Introduces concepts related to human subject studies for human computer interaction and personal health informatics. Discusses the methodological foundations, as well as issues of practical implementation and use. Provides an overview of the most common experimental designs used in these fields, and how studies should be proposed, conducted, analyzed, and documented for publication. Covers qualitative methods, including interviewing and focus groups, along with approaches to inductive qualitative data analysis. Methods discussed in the course are useful in any area of science that involves the application of the scientific method to situations involving people interacting with computational artifacts or systems, including observation, hypothesis formation, measurement, and descriptive and inferential statistical analyses.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7332Machine Learning with Graphs4

Prerequisite(s): PHYS 5116 with a minimum grade of C

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7340Theory and Methods in Human Computer Interaction4

Covers the foundations of human abilities, computational artifacts, design, and evaluation. Human computer interaction concerns the design and evaluation of software based on a deep understanding of how humans interact with computers, devices, and sensors. The field merges theories from psychology and computer science, using methods from AI and design. Introduces cognitive, perceptual, and affective theories and theories of individual differences that allow us to design and develop better computer software and systems. Also covers research methods for designing and evaluating computer software systems. Topics discussed in the context of next-generation interaction modalities include sensors, haptics, wearables, and performative interfaces. Students who do not meet course restrictions may seek permission of instructor.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7375Seminar in Human-Computer Interaction4

Offers students an opportunity to read and present various survey and research papers in human-computer interaction, computer-supported collaborative work, data visualization, social computing, design, critical computing, accessibility, game design, health informatics, personal health informatics, human-robot interaction, or HCI in security. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7380Special Topics in Graphics/Image Processing4

Offers various topics on graphics/image processing. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7390Special Topics in Human-Centered Computing4

Offers various topics in human-centered computing. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7400Intensive Principles of Programming Languages4

Studies the basic components of programming languages, specification of syntax and semantics, and description and implementation of programming language features. Discusses examples from a variety of languages.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7430Formal Specification, Verification, and Synthesis4

Covers software and system modeling (how to formally describe the behavior of software and systems); specification (how to formally state the properties that the system should have); verification (how to check whether—and ultimately prove—that a system satisfies its specification); and synthesis (how to automatically generate software and systems that are "correct-by-construction").

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7470Seminar in Programming Languages4

Prerequisite(s): CS 5400 with a minimum grade of C- or CS 5400 with a minimum grade of D- or CS 7400 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated three times for a maximum of 16 total semester hours.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7480Special Topics in Programming Language4

Offers various topics in programming language. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7485Special Topics in Formal Methods4

Offers various topics in formal methods. May be repeated without limit.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7575Seminar in Software Engineering4

Gives students the opportunity to read and present various survey and research papers in software engineering. Faculty supervisor and topics vary from semester to semester. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7580Special Topics in Software Engineering4

Offers various topics on software engineering. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7610Foundations of Distributed Systems4

Covers foundational concepts in the design and implementation of efficient and reliable distributed computing systems. Covers internet communication protocols, fault-tolerant computing, synchronization protocols, synchronous and asynchronous computing, dynamic group communication systems, load balancing, Byzantine models, distributed hash tables, distributed file systems, and application of foundational concepts to modern distributed systems in the field. Requires knowledge of operating systems; e.g., an undergraduate course in Systems and Networks, Computer Systems, or Networks and Distributed systems.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7670Seminar in Computer Systems4

Prerequisite(s): CS 5600 with a minimum grade of C- or CS 5600 with a minimum grade of D- or CS 7600 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated three times for a maximum of 16 total semester hours.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7675Master's Research4

Exposes students to research in the fields of computer sciences. Explores how the scientific method is applied to these fields and covers the breadth of subareas of specialty that exist. Offers students an opportunity to practice how to locate and read scientific literature in different subareas. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7680Special Topics in Computer Systems4

Offers various topics on computer systems. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7770Seminar in Computer Networks4

Prerequisite(s): CS 5700 with a minimum grade of C- or CS 5700 with a minimum grade of D-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7775Seminar in Computer Security4

Gives students the opportunity to read and present various survey and research papers in cryptography and computer security. Faculty supervisor and topics vary from semester to semester. May be repeated up to three times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to three times.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7800Advanced Algorithms4

Presents advanced mathematical techniques for designing and analyzing computer algorithms. Reviews some of the material covered in CS 5800 and then covers advanced topics. Emphasizes theoretical underpinnings of techniques used to solve problems arising in diverse domains. Topics include asymptotic analysis, advanced data structures, dynamic programming, greedy algorithms and matroid theory, amortized analysis, randomization, string matching, algebraic algorithms, and approximation algorithms. Introduces Turing machines, P and NP classes, polynomial-time reducibility, and NP completeness.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7805Complexity Theory4

Prerequisite(s): CS 7800 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7810Foundations of Cryptography4

Offers students at the PhD level an accelerated introduction to cryptography and quickly progresses to advanced topics that are at the forefront of current research. Cryptography is the science of protecting information against adversarial eavesdropping and tampering. Examines what kind of security properties can be achieved by relying solely on probability and information theory, without restricting the adversary’s computational power. Studies the complexity-theoretic basis of modern cryptography and the connection between computational hardness and pseudo-randomness. Explores, as the main component of the course, how to take a few well-studied problems in number theory and algebra and use them to build powerful cryptosystems with advanced functionality and security properties. Requires prior completion of an undergraduate course in the theory of computation.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7840Foundations and Applications of Information Theory4

Studies information theory and selected applications for data management, machine learning, and information retrieval. Information theory examines the transmission, processing, extraction, and utilization of information. Topics include entropy; mutual information; cross-entropy; data processing theorem; information inequalities; Cox's theorem; maximum entropy solutions; and applications such as data normalization, decision trees, maximum likelihood, logistic regression, and VC dimensions. Requires prior study of standard computer science algorithms. Offers hands-on experience through a flexible project, allowing students to explore information theory in aspects related to their PhD research.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7870Seminar in Theoretical Computer Science4

Prerequisite(s): CS 5800 with a minimum grade of C- or CS 5800 with a minimum grade of D- or CS 7800 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated three times for a maximum of 16 total semester hours.
Repeatable up to: 3
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7880Special Topics in Theoretical Computer Science4

Covers various topics including advanced cryptography, approximation algorithms, complexity theory, computational algebra, distributed computing, formal verification, network algorithms, online computation, parallel computing, and randomness and computation. May be repeated up to two times.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated up to two times.
Repeatable up to: 2
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7930Effective Scientific Writing in Computer Science2

Introduces the principles and practice of technical communication in computer science and related fields. Emphasizes concepts such as genre, structure, argument, and audience expectations. Focuses on the story of scientific research and how it manifests in written genre like the abstract, research statement, and conference paper, with a portion of the course focused on presentation design and delivery.

Subject: CS
Credits (min): 2
Credits (max): 2
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7962Elective2-4

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

Subject: CS
Credits (min): 2
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7976Directed Study2-4

Focuses on student examining standard computer science material in fresh ways or new computer science material that is not covered in formal courses. May be repeated without limit.

Subject: CS
Credits (min): 2
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7980Research Capstone4

Prerequisite(s): (CS 5004 with a minimum grade of C- or CS 5010 with a minimum grade of C- ); CS 5800 with a minimum grade of C-

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7986Research0

Offers students an opportunity to conduct full-time research under faculty supervision.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7990Thesis4

Offers selected work with the agreement of a project supervisor. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 7996Thesis Continuation - Half-Time0

Prerequisite(s): CS 7990 with a minimum grade of C-

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 8674Master’s Project4

Offers selected work with the agreement of a project supervisor. May be repeated once.

Subject: CS
Credits (min): 4
Credits (max): 4
Credit unit: Hours
Type: course
Repeatable: May be repeated once.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 8948Research Work Experience - Half-Time0

Provides an opportunity for all doctoral students to engage in industry research in the area of their dissertation. Doctoral students register for this course before starting their off-campus internship. May be repeated up to five times.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated up to five times.
Repeatable up to: 5
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 8949Research Work Experience0

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 8982Readings1-8

Offers selected readings under the supervision of a faculty member. May be repeated without limit.

Subject: CS
Credits (min): 1
Credits (max): 8
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 8986Research0

Offers an opportunity to conduct full-time research under faculty supervision. May be repeated without limit.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Repeatable: May be repeated without limit.
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 9000PhD Candidacy Achieved0

Indicates successful completion of the doctoral comprehensive exam.

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 9990Dissertation Term 10

Prerequisite(s): CS 9000 with a minimum grade of S

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 9991Dissertation Term 20

Prerequisite(s): CS 9990 with a minimum grade of S

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

CS 9996Dissertation Continuation0

Prerequisite(s): CS 9991 with a minimum grade of S or Dissertation Check with a score of REQ

Subject: CS
Credits (min): 0
Credits (max): 0
Credit unit: Hours
Type: course
Edition: Catalog 2026-2027
Catalog: Catalog 2026-2027
Source: catalog.northeastern.edu

Source: Northeastern University's catalog, linked per course · table learning_unit · CourseShelf publish 61