Foundations of Data Science (MS): Computer Science Concentration
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Degree Requirements
Course List | Code | Title | Hours | Counts towards |
| | |
| Fundamentals of Linear Models and Regression | | |
| Applied Statistical Methods I | | |
| | |
| Linear Transformations and Matrix Theory | | |
| Uncertainty Quantification for Physical and Biological Models | | |
| Convex Optimization Methods in Data Science | | |
| | |
| Design and Analysis Of Algorithms | | |
| Database Management Concepts and Systems | | |
| | |
| Introduction to Statistical Learning | | |
| Automated Learning and Data Analysis | | |
| | |
| Artificial Intelligence I | | |
| Advanced Data Structures | | |
| Artificial Intelligence II | | |
| Advanced Topics in Machine Learning | | |
| Advanced Topics in Database Management Systems | | |
| Total Hours | 30 | |