Northwestern University McCormick School of Engineering 72 courses
The minor in Machine Learning and Data Science requires 8 courses: 2 core courses, 2 elective courses, and 4 courses from a specialization track. At least 4 units of coursework must be unique to this minor program. These units cannot be applied to any other minor or certificate program, or the major requirements of any degree program. Such coursework may fulfill McCormick Social Sciences/Humanities (Theme), WCAS distribution requirements, or other unrestricted electives.
Core courses (2 units):: Programming Foundations
COMP_SCI 150-0 may also be replaced by GEN_ENG 151-0.
| Code | Course Title | Credits |
|---|---|---|
| COMP_SCI 150-0 or GEN_ENG 150-0 | Fundamentals of Programming and Computational Problem Solving or Programming for Engineers | 1 |
Core courses (2 units):: Statistics Foundations (choose one)
Specialization (4 units):: Data Science Track
Specialization (4 units):
Machine Learning Track (not open to computer science majors/minors)
Specialization (4 units):: Hybrid Track
| Code | Course Title | Credits |
|---|---|---|
| COMP_SCI 208-0 | Data Structures & Algorithms | 1 |
| COMP_SCI 349-0 | Machine Learning | 1 |
| DATA_ENG 200-0 | Foundations of Data Science | 1 |
| DATA_ENG 300-0 | Data Engineering Studio | 1 |
Elective Courses (2 units):
IEMS 341-0 may also be replaced by COMP_SCI 341-0, COMP_SCI 341-SA, COMM_ST 352-0, COMM_ST 352-SA.
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