New York University College of Arts and Science 15 courses 20 total credits
The Data Science minor introduces core concepts in statistical modeling, machine learning, and data-driven reasoning. Students develop practical skills in programming and data analysis while engaging with foundational principles of modern data science. The curriculum includes a core sequence, an advanced elective, and a programming pathway tailored to prior experience, and emphasizes both methodological understanding and the broader implications of data-driven approaches. To request declaration of a CAS minor, CAS students should visit the host department. To request declaration of a minor in another NYU school, CAS students should complete the online Minor Application available in their Albert Student Center. Students may also use the Minor Application in Albert to request cancellation of a minor in CAS or in another NYU unit.
Required Courses
| Code | Course Title | Credits |
|---|---|---|
| DS-UA 111 | Principles of Data Science I | 4 |
| DS-UA 112 | Principles of Data Science II | 4 |
Electives
Select one of the following:
Department of Computer Science (Courant) Courses:
Students Entering the Minor with No Prior Programming Experience
| Code | Course Title | Credits |
|---|---|---|
| CSCI-UA 2 | Introduction to Computer Programming (No Prior Experience) | 4 |
| CSCI-UA 60 or CSCI-UA 381 | Database Design and Implementation or Programming Tools for the Data Scientist | 4 |
Department of Computer Science (Courant) Courses:
Students Entering the Minor with Limited Prior Programming Experience
Department of Computer Science (Courant) Courses:
Students Entering the Minor with Extensive Prior Programming Experience
| Code | Course Title | Credits |
|---|---|---|
| CSCI-UA 60 or CSCI-UA 479 | Database Design and Implementation or Data Management and Analysis | 4 |
| CSCI-UA 381 | Programming Tools for the Data Scientist | 4 |
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