The combined Bachelor's + Master's degree programs allow students to complete 12 graduate credit hours while still undergraduates. These 12 graduate credit hours will count toward both the undergraduate and graduate degree programs.
DePaul Undergraduate Degree + Data Science (MS)
The Data Science (MS) combined degree program is open to all undergraduate majors across the university.
For information on admission criteria and combined degree program structure, see the CDM Graduate Academics Page.
Graduate courses for the combined degree program
The combined degree students take at most three graduate courses during their undergraduate degree selected from the following list of graduate courses. Students are encouraged to work with their undergraduate advisor in their home college and the CDM advisor to choose the three courses that best fit the student’s background and undergraduate degree.
| Course | Title | Quarter Hours |
|---|---|---|
| Take three (3) graduate courses from this list | 12 | |
| DSC 441 | FUNDAMENTALS OF DATA SCIENCE | |
| DSC 430 | PYTHON PROGRAMMING | |
| DSC 465 | DATA VISUALIZATION | |
| DSC 450 | DATABASE PROCESSING FOR LARGE-SCALE ANALYTICS | |
| CSC 484 | ETHICS IN ARTIFICIAL INTELLIGENCE | |
Students who want to substitute different graduate courses for courses in the recommended list must discuss the request with their undergraduate advisor in their home college and the CDM advisor. Requests must be approved by the CDM advisor.
In addition to the three graduate courses, students complete the MS in Data Science by taking an additional 36 credit hours (9 graduate courses) and any additional introductory courses that were not satisfied during their bachelor’s degree. Students will follow the master's degree program requirements for the term they are admitted to the master's degree program.
Prerequisite undergraduate courses:
Students are encouraged to work with their undergraduate advisor in their home college and the CDM advisor to complete appropriate coursework during their undergraduate degree to satisfy the introductory courses of the Master’s degree.
The suggested set of undergraduate courses that satisfy the Introductory courses for the MS in Data Science degree are listed here:
- CSC 401 Introduction to Programming: (CSC 241 and CSC 242) or CSC 243
- CSC 412 Tools and Techniques for Computational Analysis: MAT 220 (has additional prerequisites)
- IT 403 Statistics and Data Analysis: IT 223
In addition, the following courses are required for admission to the degree:
- MAT 150 Calculus I or MAT 135 Business Calculus I
- MAT 151 Calculus II or MAT 136 Business Calculus II