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
- Data Science
- CIP
- 27.0304
- Catalog edition
- 2026-2027
- Checklist type
- degree-program
Identifiers
- IPEDS UNITID
- 190150
- CourseShelf checklist
- CK_190150_fab79fc0
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Mathematics Requirement (6-11 points)
0 items
Calculus Requirement: Select one of the following courses:
3 items
- 3.00
- 4.00
- 4.00
Note that MATH UN1201 (Calculus III) requires Calculus I as a prerequisite but does NOT require Calculus II. MATH UN1205 and APMA E2000, however, require both Calculus I and Calculus II as prerequisites.
0 items
Linear Algebra Requirement: Select one of the following courses:
6 items
- As published: “COMPUTATIONAL LINEAR ALGEBRA (recommended)”4.00
- 3.00
- 3.00
- MATH UN2020Honors Linear AlgebraNot resolved to a course
- 3.00
- 3.00
Probability / Statistics Requirement: Select one of the following courses:
4 items
- 3.00
- 3.00
- 3.00
- 3.00
NOTE: Math 2015 Linear Algebra and Probability may simultaneously satisfy both linear algebra and probability requirements without the need to take additional classes thus reducing the total number of points required.
0 items
Pre-intro course (Optional, 3-4 points)
1 item
- As published: “INTRO TO COMP FOR ENG/APP SCI (recommended but not required)”or: COMS W1002 COMPUTING IN CONTEXT3.00
Computer Science Core (20-21 points):
major core · 0 items
First Year
1 item
- or: COMS W10073.00
Sophomore Year
3 items
- or: COMS W3137 HONORS DATA STRUCTURES & ALGOL3
- 4.00
- 4.00
Junior and Senior Year
0 items
Complete the remaining required core courses:
major core · 2 items
- 3.00
- 3.00
Area Foundation Courses (9 to 12 points):
21 items
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
IS Core
major core · 2 items
- 3.00
- As published: “Data Structures in Java (or )”3
OR
5 items
- 4.00
- 4.00
- 4.00
- 3.00
- 3.00
One course in linear algebra OR prob/stat (STAT 1201, MATH 2015, and many others)
0 items
Area Foundation Courses (AFC)
21 items
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
IS Core Requirement, prior to Fall 2026
major core · 1 item
- 3.00
or COMS W1002 Computing in Context
4 items
- 3.00
- 3.00
- 3
- 3.00
Information Science and Contemporary Society
6 items
- 3.00
- 3.00
- 3.00
- 3.00
- 4.00
- 4.00
Information Science and the Economy
6 items
- 3.00
- 3.00
- 3.00
- 4.00
- 3.00
- 3.00
Information Science and Health Sciences
6 items
- 3.00
- 3.00
- 3.00
- BINF G4001Not resolved to a course
- BIOL W4037Bioinformatics of Gene ExpressionNot resolved to a course
- ECBM E3060/E4060Not resolved to a course
Major in Data Science
major core · 0 items
Prerequisites (15 points)
4 items
- 3.00
- 3.00
- 3.00
- 3.00
This introductory Statistics course:
1 item
- 3.00
Statistics (12 points)
4 items
- STAT GU4203PROBABILITY THEORYNot resolved to a course
- STAT GU4204STATISTICAL INFERENCENot resolved to a course
- STAT GU4205LINEAR REGRESSION MODELSNot resolved to a course
- 3.00
or COMS W4771 Machine Learning
0 items
Computer Science (12 points)
0 items
Select one of the following courses:
4 items
- 3.00
- 3.00
- COMS W1007Not resolved to a course
- 3.00
Select one of the following courses:
3 items
- 3
- 4.00
- 4.00
Two required courses:
2 items
- 4.00
- 3.00
Electives (15 points)
electives · 0 items
Select two of the following courses:
5 items
- 3.00
- STAT GU4206PROGRAMMING FOR DATA SCIENCENot resolved to a course
- 3.00
- STAT GU4243Not resolved to a course
- STAT Q4242Advanced Machine LearningNot resolved to a course
Select three of the following courses:
4 items
- 3.00
- 3.00
- 3.00
- 3.00
Any COMS W47xx course EXCEPT W4771
0 items
Minor in Artificial Intelligence
4 items
- 3.00
- or: COMS W1002 COMPUTING IN CONTEXT3.00
- or: IEOR E2000 Data Engineering with Python4.00
- 3.00
AI Requirement:
1 item
- 3.00
Ethics Requirement:
0 items
Choose one:
5 items
- 3.00
- 3.00
- PSYC GU4836Machine IntelligenceNot resolved to a course
- 3.00
- COMS BC3420PRIVACY IN A NETWORKED WORLDNot resolved to a course
AI Elective:
electives · 0 items
Choose One:
0 items
Any COMS 47XX course
0 items
Any "relevant COMS 4995/6998 course
23 items
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
- 4.00
- 3.00
- STAT GU4242ADVANCED MACHINE LEARNINGNot resolved to a course
- STAT GU4243Not resolved to a course
- STAT GU4244Unsupervised LearningNot resolved to a course
Concentration in Computer Science
concentration · 6 items
- or: COMS W10073.00
- or: COMS W3137 HONORS DATA STRUCTURES & ALGOL3
- 4.00
- 4.00
- 3.00
- As published: “FUNDAMENTALS OF COMPUTER SYSTS (or any 3 point 4000-level computer science course)”3.00
Select one of the following courses:
9 items
- 4.00
- 3.00
- 3.00
- MATH V2020Honors Linear AlgebraNot resolved to a course
- 3.00
- 3.00
- 3.00
- 3.00
- 3.00
Source. Columbia University in the City of New York, catalog 2026-2027 — https://bulletin.columbia.edu/general-studies/majors-concentrations/computer-science-statistics/. Captured page pages/0095.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.