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Northwestern University The Graduate School 24 courses
The following requirements are in addition to, or further elaborate upon, those requirements outlined in The Graduate School Policy Guide. To complete the Integrated Data Science (IDS) Certificate requirements, students will take five courses including at least one course from group A, at least two courses from group B, at least one course from group C, and a fifth course from any group. The courses currently available in each curriculum group are described below, developed in connection to the NSF IDEAS traineeship. Please note Machine Learning (COMP_SCI 349-0) will still count as an elective if taken before spring 2020. Data Management and Information Processing (COMP_SCI 317-0) is no longer offered; however it will still count as an elective if taken before Fall 2019.
Group A. Data Challenges in Domain Disciplines
| Code | Course Title | Credits |
|---|---|---|
| DATA_SCI 401-0 | Data-Driven Research in Physics, Geophysics, and Astronomy | 1 |
| BIOL_SCI 354-0 | Systems Biology | 1 |
Group B. Core Data Analytics
| Code | Course Title | Credits |
|---|---|---|
| DATA_SCI 421-0 | Integrated Data Analytics I | 1 |
Group B. Core Data Analytics
DATA_SCI 422-0/EARTH 353-0
| Code | Course Title | Credits |
|---|---|---|
| DATA_SCI 423-0 | Machine Learning: Foundations, Applications, and Algorithms | 1 |
Group C. Electives in Data Analytics
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