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 + Artificial Intelligence (MS)
The Artificial Intelligence (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 | |
| CSC 480 | ARTIFICIAL INTELLIGENCE I | |
| Two courses chosen from the following list: | ||
| APPLIED ALGORITHMS AND STRUCTURES | ||
| APPLIED DEEP LEARNING | ||
| ETHICS IN ARTIFICIAL INTELLIGENCE | ||
| MACHINE LEARNING I (FORMERLY DSC 540) | ||
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 Artificial Intelligence 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 Artificial Intelligence degree are listed here:
- CSC 400 Discrete Structures for Computer Science: MAT 140
- CSC 401 Introduction to Programming: (CSC 241 and CSC 242) or CSC 243
- CSC 402 Data Structures I: CSC 300
- CSC 403 Data Structures II: CSC 301
- 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
- MAT 151 Calculus II