Foundations of Data Science (MS): Statistics Concentration
Apply NowDegree Requirements
| Code | Title | Hours | Counts towards |
|---|---|---|---|
| Required Courses | 21 | ||
| Statistics Core | |||
| Fundamentals of Linear Models and Regression | |||
| Applied Statistical Methods I | |||
| Mathematics Core (choose two of the following) | |||
| Linear Transformations and Matrix Theory | |||
| Uncertainty Quantification for Physical and Biological Models | |||
| Convex Optimization Methods in Data Science | |||
| Computer Science core | |||
| Design and Analysis Of Algorithms | |||
| Database Management Concepts and Systems | |||
| Machine Learning core (choose one of the following) | |||
| Introduction to Statistical Learning | |||
| Automated Learning and Data Analysis | |||
| Concentration Electives | 9 | ||
| A minimum of 9 hours of elective courses must be taken from the following courses: | |||
| Applied Time Series | |||
| Applied Multivariate and Longitudinal Data Analysis | |||
| Applied Bayesian Analysis | |||
| Total Hours | 30 | ||