Choose from the following for the Data Science - Computing Option
(courses used to satisfy another requirement of the degree may not be counted as a Data Science Elective)
| Code | Title | Credits |
|---|---|---|
| YWCC 310 | Co-op Work Experience I | 3 |
| DS 400 | Scientific Foundation of Machine Learning | 3 |
| DS 410 | Federated Machine Learning and Applications | 3 |
| DS 480 | Fundamentals and Applications of Graph Neural Networks | 3 |
| DS 485 | Selected Topics in DS | 3 |
| DS 488 | Independent Study in Data Science | 3 |
| CS 332 | Principles of Operating Systems | 3 |
| CS 350 | Intro to Computer Systems | 3 |
| CS 351 | Introduction to Cybersecurity | 3 |
| CS 356 | Introduction to Computer Networks | 3 |
| CS 357 | Network Security: Attacks & Defenses | 3 |
| CS 408 | Introduction to Cryptography | 3 |
| CS 434 | Advanced Database Systems | 3 |
| CS 455 | Introduction to GPU Cluster Programming | 3 |
| CS 474 | Introduction to Generative AI | 3 |
| CS 485 | Selected Topics In CS | 3 |
| MGMT 316 | Business Research Methods | 3 |
| MGMT 416 | Artificial Intelligence for Business Decisions | 3 |
| MRKT 378 | Marketing Analytics | 3 |
| MRKT 430 | Marketing Research | 3 |
| MATH 345 | Multivariate Distributions | 3 |
| MATH 388 | Introduction to Chaos Theory | 3 |
| MATH 391 | Numerical Linear Algebra | 3 |
| MATH 430 | Analytical and Computational Neuroscience | 3 |
| MATH 447 | Applied Time Series Analysis | 3 |
| MATH 448 | Stochastic Simulation | 3 |
| MATH 461 | Introduction to Statistical Computing with SAS and R | 3 |
| IS 333 | Social Network Analysis | 3 |
| IS 392 | AI-Driven Text Analytics | 3 |
| IS 480 | Data-Centric AI | 3 |
| FIN 218 | Financial Markets and Institutions | 3 |
| FIN 306 | Blockchain Technology for Business | 3 |
| FIN 310 | Data-Driven Financial Modeling | 3 |
| FIN 320 | Fin Data Analytics | 3 |
| IT 430 | Ethical Hacking for System Administrators | 3 |
| IT 485 | Special Topics in Information Technology I | 3 |
