Below is a list of current classes available for the Certificate in Data Science and Applied AI. For a complete listing of all classes related to the degree please see the Requirements tab of the Data Science degree in our academic catalog.
| Spring 2026 Graduate Certificate in Data Science and Applied AI Courses | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Data Science (Select one of the following): | ||||||||||||||
| Course No. | Course Name | Credits | Online | Evening | Class Time | Faculty | Class Code | Prerequisites | ||||||
| BUSMGMT 709 | Predictive Analytics for Managers (Lec. 001) | 3 | X | M 5:30-8:10p | S. Paek | 43698 | Prereq: graduate standing. | |||||||
| (Lec. 203) | 3 | X | N/A | Alwan | 42992 | |||||||||
| INFOST 582G | Introduction to Data Science | 3 | X | T/R 4-5:15p | Staff | 41774 | Prereq: junior standing or consent of instructor. | |||||||
| Artificial Intelligence (Select one of the following): | ||||||||||||||
| Course No. | Course Name | Credits | Online | Evening | Class Time | Faculty | Class Code | Prerequisites | ||||||
| BUS ADM 745 | Artificial Intelligence for Business | 3 | X | R 5:30-8:10p | D. Alexander | 44743 | Prereq: graduate standing. | |||||||
| BUS ADM 812 | Machine Learning for Business (Lec. 201) | 3 | X | N/A | C. Chen | 44937 | Prereq: graduate standing. | |||||||
| COMPSCI 411G | Machine Learning and Applications | 3 | MW 2:30-3:45p | R. Kate | 47888 | Prerequisite enforcement: completion of one of the following: COMPSCI 202, COMPSCI 241, or COMPSCI 250; or special student; or graduate standing. | ||||||||
| COMPSCI 422G | Introduction to Artificial Intelligence | 3 | X | R 4-5:15 pm | A. Mali | 44599 | Prereq: junior standing, COMPSCI 351(P), and a grade of C or better in COMPSCI 317(P) or both MATH 341(P) and MTHSTAT 361(P). | |||||||
| COMPSCI 711 | Introduction to Machine Learning | 3 | X | MW 5:00-6:15 p | J. Zhang | 44991 | Prereq: graduate standing. | |||||||
| Statistics (Select one of the following): | ||||||||||||||
| Course No. | Course Name | Credits | Online | Evening | Class Time | Faculty | Class Code | Prerequisites | ||||||
| INFOST 687G | Data Analysis for Data Science | 3 | X | TuTh 5:30PM - 6:45PM | I. Vadapally | 41823 | Prereq: junior standing or consent of instructor. | |||||||
| Programming (Select one of the following): | ||||||||||||||
| Course No. | Course Name | Credits | Online | Evening | Class Time | Faculty | Class Code | Prerequisites | ||||||
| BUSMGMT 744 | R Programming for Business Analytics | 3 | X | N/A | J. Retzer | 43853 | Prereq: grad st; BusMgmt 709(P). | |||||||
| COMPST 702 | Introductory Programming Using Python (Lec. 401) | 3 | MW 9-10:15 am | J. Rock | 46788 | Prereq: graduate standing. | ||||||||
| Elective Course | ||||||||||||||
| Select one course from the MSDS curriculum subject to the approval of the Program Director, who will ensure curricular duplication is minimized. | ||||||||||||||