KSAWorks
KSAWorks
Knowledge • Skills • Abilities
Program checklist · M.S.

Computer Science

University of North Carolina at Greensboro · Greensboro, NC

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
M.S.
Credential class
ceterms:MasterDegree
CIP
26.1103
Total credits (published)
15
Catalog edition
2026-27 University Catalog
Checklist type
degree-program
Identifiers
IPEDS UNITID
199148
CourseShelf checklist
CK_199148_a0c408cd
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Degree Program Requirements

0 items

    Core Courses (9 credits)

    major core · 9 items
    1. CSC 654
      Algorithm Analysis and Design 3
      As published: “Algorithm Analysis and Design”
      3
    2. Select one course (3 credits) from the following:
      Not resolved to a course
      3
    3. CSC 652
      Theory of Computation 3
      As published: “Theory of Computation”
    4. CSC 656
      Foundations of Computer Science 3
      As published: “Foundations of Computer Science”
    5. Select one course (3 credits) from the following:
      Not resolved to a course
      3
    6. CSC 640
      Software Engineering 3
      As published: “Software Engineering”
    7. CSC 662
      Principles of Operating Systems 3
      As published: “Principles of Operating Systems”
    8. CSC 671
      Advanced Database Systems 3
      As published: “Advanced Database Systems”
    9. CSC 677
      Principles of Computer Networks 3
      As published: “Principles of Computer Networks”

    Track Courses (12 credits)

    1 item
    1. Select four courses (12 credits) from one of the following tracks:
      Not resolved to a course
      12

    Foundation and Algorithms Track

    6 items
    1. CSC 639
      Introduction to Compiler Design 3
      As published: “Introduction to Compiler Design”
    2. CSC 652
      Theory of Computation 3
      As published: “Theory of Computation”
    3. CSC 656
      Foundations of Computer Science 3
      As published: “Foundations of Computer Science”
    4. CSC 685
      Modern Cryptography 3
      As published: “Modern Cryptography”
    5. STA 631
      Introduction to Probability 3
      As published: “Introduction to Probability”
    6. STA 651
      Mathematical Statistics 3
      As published: “Mathematical Statistics”

    Data Science and Big Data Track

    14 items
    1. CSC 605
      Data Science 3
      As published: “Data Science *”
    2. CSC 607
      Network Analysis 3
      As published: “Network Analysis”
    3. CSC 610
      Big Data and Machine Learning 3
      As published: “Big Data and Machine Learning *”
    4. CSC 616
      Digital Image Processing 3
      As published: “Digital Image Processing”
    5. CSC 617
      Deep Learning in Computer Vision 3
      As published: “Deep Learning in Computer Vision”
    6. CSC 625
      Bioinformatics 3
      As published: “Bioinformatics”
    7. CSC 629
      Artificial Intelligence 3
      As published: “Artificial Intelligence”
    8. CSC 646
      Natural Language Processing 3
      As published: “Natural Language Processing”
    9. CSC 674
      Principles of Data Mining 3
      As published: “Principles of Data Mining”
    10. CSC 671
      Advanced Database Systems 3
      As published: “Advanced Database Systems *”
    11. CSC 672
      Database System Architecture 3
      As published: “Database System Architecture”
    12. CSC 677
      Principles of Computer Networks 3
      As published: “Principles of Computer Networks”
    13. STA 631
      Introduction to Probability 3
      As published: “Introduction to Probability”
    14. STA 651
      Mathematical Statistics 3
      As published: “Mathematical Statistics”

    Systems and Networks Track

    10 items
    1. CSC 607
      Network Analysis 3
      As published: “Network Analysis”
    2. CSC 629
      Artificial Intelligence 3
      As published: “Artificial Intelligence”
    3. CSC 640
      Software Engineering 3
      As published: “Software Engineering”
    4. CSC 642
      Human-Computer Interface Development 3
      As published: “Human-Computer Interface Development”
    5. CSC 661
      Principles of Computer Architecture 3
      As published: “Principles of Computer Architecture”
    6. CSC 662
      Principles of Operating Systems 3
      As published: “Principles of Operating Systems”
    7. CSC 671
      Advanced Database Systems 3
      As published: “Advanced Database Systems”
    8. CSC 677
      Principles of Computer Networks 3
      As published: “Principles of Computer Networks”
    9. CSC 678
      Principles of Wireless Networks 3
      As published: “Principles of Wireless Networks”
    10. CSC 681
      Principles of Computer Security 3
      As published: “Principles of Computer Security”

    Electives (3-6 credits)

    electives · 1 item
    1. Select 3-6 credits of electives from other 600- or 700-level CSC courses **
      Not resolved to a course
      3-6

    Capstone Experience (6 or 3 credits)

    1 item
    1. Select one of the following options:
      Not resolved to a course
      6 or 3

    Thesis (6 credits)

    1 item
    1. CSC 699
      Thesis 1-6
      As published: “Thesis”

    Project (3 credits)

    1 item
    1. CSC 698
      Project in Computer Science 3-6
      As published: “Project in Computer Science”

    Capstone Course (3 credits)

    1 item
    1. CSC 696
      Master's Capstone 3
      As published: “Master's Capstone”

    Data Science and Big Data Concentration

    concentration · 0 items

      Core Courses (12 credits)

      major core · 4 items
      1. CSC 605
        Data Science 3
        As published: “Data Science”
        3
      2. CSC 610
        Big Data and Machine Learning 3
        As published: “Big Data and Machine Learning”
        3
      3. CSC 654
        Algorithm Analysis and Design 3
        As published: “Algorithm Analysis and Design”
        3
      4. CSC 671
        Advanced Database Systems 3
        As published: “Advanced Database Systems”
        3

      Elective Courses (3 credits)

      electives · 10 items
      1. Select one course (3 credits) from the following:
        Not resolved to a course
        3
      2. CSC 607
        Network Analysis 3
        As published: “Network Analysis”
      3. CSC 616
        Digital Image Processing 3
        As published: “Digital Image Processing”
      4. CSC 617
        Deep Learning in Computer Vision 3
        As published: “Deep Learning in Computer Vision”
      5. CSC 625
        Bioinformatics 3
        As published: “Bioinformatics”
      6. CSC 629
        Artificial Intelligence 3
        As published: “Artificial Intelligence”
      7. CSC 674
        Principles of Data Mining 3
        As published: “Principles of Data Mining”
      8. STA 635
        Theory of Linear Regression 3
        As published: “Theory of Linear Regression”
      9. STA 661
        Advanced Statistics in the Behavioral and Biological Sciences I 3
        As published: “Advanced Statistics in the Behavioral and Biological Sciences I”
      10. STA 682
        Theory of Time Series 3
        As published: “Theory of Time Series”

      Courses

      4 items
      1. CSC 652
        Theory of Computation 3
        As published: “Theory of Computation”
        3
      2. CSC 654
        Algorithm Analysis and Design 3
        As published: “Algorithm Analysis and Design”
        3
      3. CSC 662
        Principles of Operating Systems 3
        As published: “Principles of Operating Systems”
        3
      4. CSC 677
        Principles of Computer Networks 3
        As published: “Principles of Computer Networks”
        3
      Source. University of North Carolina at Greensboro, catalog 2026-27 University Catalog — https://catalog.uncg.edu/arts-sciences/computer-science/computer-science-ms/. Captured page pages/0726.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.