C: Data Science and Statistical Modeling Core Courses
| Course | Credits | Prerequisites | Spring | Fall | Last Offered |
|---|---|---|---|---|---|
| CS 5780: Introduction to Machine Learning | 4 | CS 2800, probability theory (e.g. BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700) and linear algebra (e.g. MATH 2940), calculus (e.g. MATH 1920) and programming proficiency (e.g. CS 2110). | ✔ | ✔ | 2024 Fall |
| CS 5789: Introduction to Reinforcement Learning | 3 | ✔ | 2024 Spring | ||
| ECE 5420: Fundamentals of Machine Learning | 4 | ✔ | 2024 Spring | ||
| ORIE 5550: Applied Time Series Analysis | 4 | ✔ | 2024 Spring | ||
| ORIE 5630: Operations Research Tools for Financial Engineering | 4 | Prerequisite: MATH 2940, ENGRD 2700, ORIE 3500, ORIE 3120. | ✔ | 2024 Fall | |
| ORIE 5740: Statistical Data Mining I | 4 | ✔ | 2024 Spring | ||
| ORIE 5741: Learning with Big Messy Data | 4 | ✔ | 2024 Spring | ||
| ORIE 5742: Info Theory, Probabilistic Modeling, and Deep Learning with Scientific and Financial Apps | 3 | ✔ | 2024 Spring | ||
| STSCI 5030: Linear Models with Matrices | 4 | STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, BTRY 3080 or equivalent, MATH 1920 or equivalent, MATH 2210 or equivalent, STSCI 3200/BTRY 3020 or BTRY 6020. | ✔ | 2024 Fall | |
| STSCI 5090: Theory of Statistics | 4 | ✔ | 2024 Fall | ||
| STSCI 5740: Data Mining and Machine Learning | 4 | CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710. | ✔ | ✔ | 2024 Fall |
| SYSEN 6880: Optimal Control and Decision Theory | 3 | ✔ | 2024 Spring |