Requirements for the Data Science Bachelor of Science / Master of Science degree
Undergraduate Courses
- CS 151 Introduction to Programming
Pre-req: <none> - DATA 151 (formerly MATH 239) Introduction to Data Science
Pre-req: <none> - DATA 152 Statistics for Data Science
Pre-req: DATA 151; Alternatives: MATH 138, IDS 138, AP Stats - MATH 280 Math for Data Scientists
2 Undergraduate Electives
Elective can be at any level with CS or DATA prefix or from approved list
- DATA 502 Data Visualization and Presentation
- DATA 503 Fundamentals of Data Engineering
- DATA 504 Data Ethics, Policy and Human Beings
- DATA 505 Applied Machine Learning
- DATA 510 Graduate Capstone
Graduate Courses
3 Graduate electives with DATA prefix or from approved list. Note that if students choose one of the PNCA courses, they will also need to register for the 1-credit workshop.
Approved graduate DS Electives from outside of DS
- GSM 6020 Marketing Analytics (4)
- GSM 6216 Business and Economic Forecasting (4)
- GSM 6004 E-Commerce and Digital Marketing (4)
- GSM 6260 Research for Marketing Decisions (4)
- COL 551 Applied systems thinking (3)
- COL 501 Studio II: Information Design (3)
- COL 511 Workshop (1)