Below is a list of current classes available for the MS Data Science and Applied Artificial Intelligence degree. For a complete listing of all classes related to the degree please see the Requirements tab of the Data Science and Applied Artificial Intelligence degree in our academic catalog.
| Spring 2026 MSDSAAI Course Offerings | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Core Areas | |||||||||
| Complete 18 credits; 1 course from each sub-area below: | |||||||||
| Course Subj/No. | Course Name | Credits | Online | Evening | Class Times | Instructor | Course Code | Prerequisites: | |
| Developing insights from data for applications | |||||||||
| ED PSY 822 | Item Response Theory | 3 | T 11:30 - 2:10 pm | 47742 | Prereq: graduate standing and ED PSY 624(P) or equivalent; or consent of instructor. | ||||
| INFOST 582G | Introduction to Data Science | 3 | X | TR 5:30PM - 6:45PM | I. Vadapally | 41774 | Prereq: junior standing or consent of instructor. | ||
| Organizing and maintaining large data sets | |||||||||
| BUS ADM 749 | Data and Information Management (LEC. 002) | 3 | X | T 5:30- 8:10 pm | H. Zhao | 45290 | Prereq: grad st | ||
| COMP SCI 557G | Introduction to Database Systems | 3 | TR 2:30-3:45p | Ayesha Siddika Nipu | 44604 | Prereq: junior standing and COMPSCI 251(P) or equivalent. | |||
| INFOST 714 | Metadata | 3 | X | N/A | Kipp | 41841 | Prereq: grad st; MLIS prereqs: InfoSt 511(P); InfoSt 571(R) MSIST prereqs: InfoSt 582(P). | ||
| PH 718 | Data Management and Visualization in R | 3 | X | X | TR 4-5:15p | Z. Zhou | 41967 | Prereq: PH711; cons instr. | |
| AI and Machine Learning to extract insight from Data | |||||||||
| COMPSCI 411G | Machine Learning and Applications | 3 | MW 2:30-3:45 pm | 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 pm | J. Zhang | 44991 | Prereq: graduate standing. | ||
| INFOST 687G | Data Analysis for Data Science | 3 | X | N/A | M. Kipp | 41823 | Prereq: junior standing or consent of instructor. | ||
| MATH 804 | Industrial Mathematics II | 3 | MW 4:00-5:15 pm | I. Lauko | 48357 | Prereq: graduate standing in natural science discipline; MATH 803(701)(P). | |||
| Probabilistic methods to analyze uncertainty in data | |||||||||
| BUS ADM 713 | Business Forecasting Methods | 3 | X | N/A | M. Baladi | 43617 | Prereq: grad st; BusMgmt 709(P) or Bus Adm 754(P). | ||
| 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 | ||||
| ECON 411G | Economic Forecasting Methods | 3 | MW 10-11:15a | N. Kishor | 46809 | Prereq: junior standing, ECON 210(P), and ECON 310(P); or consent of instructor. | |||
| GEOG 747 | Spatial Analysis- online lecture (must register for one lab section) (Lec. 401) | 4 | X | HYBRID | TR 1-2:15p | C. Wu | 46825 | Prereq: grad st. | |
| (Lab 802) (in-person lab) | F 11:30-1:20p | 46826 | |||||||
| IND ENG 575G | Design of Experiments- lecture (must register for one lab section) | 3 | X | W 3:30- 5:20p | M. Ahmed | 44143 | Prereq: IND ENG 367(P) or equivalent. | ||
| (Lab 801) | M 3:30-5:20 pm | 44144 | |||||||
| IND ENG 765 | Operations Research Methods | 3 | TR 11:30a-12:45p | M. Petering | 46116 | Prereq: graduate standing, IND ENG 455(P), and COMPSCI 202(P) or COMPSCI 250(P) or equivalent computer programming experience. | |||
| MATH 783 | Introduction to Probability Models | 3 | MW 1-2:15p | C. Zhu | 45083 | Prereq: graduate standing or consent of instructor; recommended are courses in multivariable calculus, elementary linear algebra and differential equations, and one calculus-based course in statistics or probability at the 300 level or above. | |||
| MTHSTAT 361G | Introduction to Mathematical Statistics I | 3 | MW 10-11:15a | V. Brazauskas | 44024 | Prereq: junior standing or consent of instructor, and MATH 212(P) or MATH 233(P). | |||
| MTHSTAT 362G | Introduction to Mathematical Statistics II | 3 | MW 10-11:15a | D. Spade | 44025 | Prereq: junior standing or consent of instructor, and MTHSTAT 361(P). | |||
| MTHSTAT 564G/764 | Time Series Analysis (MTHSTAT 564G) | 3 | MW 2:30-3:45p | D. Gervini | 44026 | Prereq: graduate standing; MTSTAT 362(P) or MTHSTAT 467(P); or consent of instructor. | |||
| Time Series Analysis (MTHSTAT 764) | MW 2:30-3:45p | D. Gervini | 45428 | ||||||
| PH 711 | Intermediate Biostatistics | 3 | TR 11:30a-12:45p | L. Jamshidi | 41970 | Prereq: grad st; PH 702(P) or cons instr | |||
| PSYCH 510G | Advanced Psychological Statistics (must register for one disc. section) | 3 | X | T 6-7:50p | J. Cooley | 45132 | Prereq: junior standing and PSYCH 210(P); or graduate standing. | ||
| (Disc 601) | F 9:30-10:20a | 45133 | |||||||
| (Disc 602) | F 10:30-11:20a | 45134 | |||||||
| SOCIOL 760 | Advanced Statistical Methods in Sociology (must register for lab section) | 3 | TR 2:30-3:45p | J. Roberts | 43410 | Prereq: graduate standing and a score of 85 on department diagnostic examination. | |||
| (Lab 801) | X | R 4-4:50p | J. Roberts | 44495 | |||||
| Advanced Programming for Data Collection and Data Science | |||||||||
| 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. | |||
| COMPST 751 | Data Structures and Algorithms (Lec. 001) | 3 | TR 9:30- 10:20a | J. Boyland | 44618 | Prereq: COMPST 750(P); COMPSCI 251(R). | |||
| INFOST 350G | Introduction to Application Development (Lec. 001) | 3 | MW 11:30-12:45 pm | M. Luo | 47835 | Prereq: INFOST 110(C) or graduate standing or consent of instructor. | |||
| (Section 201) | X | N/A | M. Zamfiroiu | 47836 | |||||
| Ethics | |||||||||
| BUS ADM 743 | Information Privacy, Security & Continuity (LEC. 001) | 3 | X | W 5:30-8:10 pm | D. Nazareth | 45258 | Prereq: grad st | ||
| INFOST 583G | Survey of Information Security | 3 | X | TR 5:30-6:45 pm | M. Puiszis | 48716 | Prereq: jr st or cons instr. | ||
| INFOST 661G | Information Ethics (Lec. 001) | 3 | R 9:30-12:10 pm | W. Peekhaus | 48512 | Prereq: jr st & InfoSt(L&I Sci) 110(P); 501(P) or cons instr. | |||
| (Section 210) | X | R 9:30-12:10 pm | W. Peekhaus | 48516 | |||||
| Electives | |||||||||
| Complete 12 credits; 4 courses | |||||||||
| ANTHRO 380G | Anthropological Applications of GIS (Lecture 001) | 3 | X | R 5:30-8:10p | B. Nicholls | 48089 | Prereq: jr st; a course in anthro. | ||
| ART 317G | 3D Modeling and XR | 3 | TR 11:30a-1:40p | O. Kryzhanivska | 48617 | Prereq: junior standing and ART 218(P) or ART 212(P); or junior standing and Information Studies, Engineering, Architecture, or Urban Planning major; or graduate standing; or consent of instructor. | |||
| BUS ADM 742 | Big Data in Business | 3 | X | N/A | D. Alexander | 44942 | Prereq: graduate standing. | ||
| BUS ADM 745 | Artificial Intelligence for Business | 3 | X | R 5:30-8:10p | D. Alexander | 44743 | Prereq: graduate standing. | ||
| BUS ADM 769 | Database Marketing (Lec. 203) | 3 | X | N/A | V. Hysenlika | 43012 | Prereq: grad st; BusMgmt 709(C) or cons instr | ||
| BUS ADM 812 | Machine Learning for Business (Lec. 201) | 3 | X | N/A | C. Chen | 44937 | Prereq: graduate standing. | ||
| BUS ADM 813 | Social Media Analytics for Business | 3 | X | M 5:30-8:10p | Y. Wang | 44738 | Prereq: graduate standing. | ||
| BUS ADM 816 | Business Intelligence Technologies & Solutions (Lec. 203) | 3 | X | N/A | A. Sinha | 44149 | Prereq: grad st | ||
| BUS ADM 817 | Connected Systems for Business | 3 | X | W 5:30-8:10 pm | Y. Sun | 47596 | Prereq: graduate standing. | ||
| COMPSCI 535G | Algorithm Design and Analysis | 3 | |||||||
| Lec. 001 | X | MW 4-5:15p | C. Cheng | 45522 | Prereq: junior standing; MATH 211(P), MATH 213(P), MATH 221(P) or MATH 231(P); a grade of C or better in COMPSCI 351(P); and COMPSCI 317(P) or both MATH 341(P) and MTHSTAT 361(P). | ||||
| Lec. 002 | TR 11:30a-12:45p | Z. Yu | 48525 | ||||||
| COMPSCI 712 | Image Processing | 3 | TR 2:30-3:45p | Zeyun Yu | 45790 | Prereq: graduate standing. | |||
| COMPSCI 725 | Robot Motion Planning | 3 | R 11:30-12:45p | A. Mali | 47886 | Prereq: graduate standing. | |||
| COMPSCI 790 | Advanced Topics in Computer Science: Advanced Software Engineering | 3 | MW 2:30-3:45 pm | J. Boyland | 47132 | Prereq: graduate standing. | |||
| COMPSCI 790 | Advanced Topics in Computer Science: Domain Specific Programming for AI Applications | 3 | X | MW 4-5:15p | T. Zhao | 45525 | Prereq: graduate standing. | ||
| COMPSCI 790 | Advanced Topics in Computer Science: Image-Based Computational Modeling | 3 | R 2:30-5:10p | M. Dabaghmeshin | 48619 | Prereq: graduate standing. | |||
| CRM JST 910 | Methods and Practice Capstone for Crime Analysts | 3 | X | N/A | D. Dagenhardt | 42044 | Prereq: grad st | ||
| ECON 734 | Foundation of Econometric Methods | 3 | X | W 5:30-8:10p | Fehl/Ardakani | 43515 | Prereq: graduate standing, ECON 413(P) and ECON 506(P) or consent of instructor. | ||
| ED PSY 822 | Item Response Theory | 3 | T 11:30 - 2:10 pm | 47742 | Prereq: graduate standing and ED PSY 624(P) or equivalent; or consent of instructor. | ||||
| GEOG 704 | Remote Sensing: Environmental and Land Use Analysis (Lec. 401) | 4 | TR 11:30-12:45p | M. Schwartz | 46827 | Prereq: grad st. | |||
| (Lab 801) | T 2:30-4:20p | 46828 | |||||||
| (Lab 802) | W 8:30-10:20a | 46829 | |||||||
| GEOG 726 | Geographic Information Science | 4 | X | N/A | Z. Xu | 44069 | Prereq: grad st. | ||
| (Lab 901) | X | N/A | Z. Xu | 44070 | |||||
| (Lab 902) | X | N/A | Z. Xu | 44071 | |||||
| GEOG 747 | Spatial Analysis (Lec. 401) | 4 | TR 1-2:15p | C. Wu | 46825 | Prereq: grad st. | |||
| (Lab 802) | F 11:30-1:20p | C.Wu | 46826 | ||||||
| HI 740 | Introduction to Biomedical Database Applications | 3 | X | N/A | M. Wu | 46846 | Prereq: graduate standing or consent of instructor. | ||
| HI 741 | Essential Programming for Health Informatics (Lec. 001) | 3 | T 5:30-8:10p | L. He | 45363 | Prereq: graduate standing or consent of instructor. | |||
| Lec. 202 | X | N/A | L. He | 45364 | |||||
| HI 743 | Predictive Analytics in Healthcare (Lec. 001) | 3 | R 2:30-5:10p | P. Nambisan | 45365 | Prereq: graduate standing or consent of instructor. | |||
| X | N/A | P. Nambisan | 45366 | ||||||
| HI 745 | Big Data and Machine Learning in Health and Beyond | 3 | M 2:30-5:10p | J. Luo | 45367 | Prereq: graduate standing or consent of instructor. | |||
| X | N/A | J. Luo | 45368 | ||||||
| IND ENG 575G | Design of Experiments (Lec. 401) | 3 | W 3:30-5:20p | M. Ahmed | 44143 | Prereq: IND ENG 367(P) or equivalent. | |||
| Lab 801 | M 3:30-5:20 pm | M. Ahmed | 44144 | ||||||
| INFOST 671G | Applied Web 3.0: Artificial Intelligence and Blockchain (Lec. 001 | 3 | M 10-11:15a | M. Friedel | 45498 | Prereq: junior standing and one of the following: INFOST 350(P) or COMPSCI 351(P); or graduate standing and COMPSCI 702(P) or COMPSCI 751(P); or consent of instructor. | |||
| Lec. 201 | X | N/A | M. Friedel | 45499 | |||||
| INFOST 691G | Special Topics in Information Science: Computer Forensics | X | N/A | K. Sabha | 41859 | Prereq: junior standing or consent of instructor. | |||
| INFOST 696G | Ethical Hacking II | 3 | X | N/A | K. Sabha | 45492 | Prereq: INFOST 695(P) or consent of instructor. | ||
| INFOST 771 | Data Curation (Lec. 201) | 3 | X | N/A | Wan-chen Lee | 47838 | |||
| URBPLAN 791 | Introduction to Urban Geographic Information Systems for Planning (Lec. 202) | 3 | X | X | M 5:30-6:20p | Benedict/Lemieux | 41674 | Prereq: grad st. | |
| (Lab 203) | X | X | M 6:30-8p | Benedict/Lemieux | 41675 | ||||
| URBPLAN 792 | Using Urban Geographic Information Systems (GIS) for Planning (Lab 002) | 3 | M 2:30-5:10p | P. Vepraskas | 41676 | Prereq: grad st. | |||
| URBPLAN 793 | Applied Projects in Urban Geographic Information Systems (Lec. 003) | 3 | T 5:30-8:10p | J. Rybarczyk | 41694 | Prereq: grad st; Urbplan 791 or cons instr. | |||