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| Fundamentals of Linear Models and Regression | | |
| Applied Statistical Methods I | | |
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| Linear Transformations and Matrix Theory | | |
| Convex Optimization Methods in Data Science | | |
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| Design and Analysis Of Algorithms | | |
| Database Management concepts and Systems | | |
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| Introduction to Statistical Learning | | |
| Automated Learning and Data Analysis | | |
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| Uncertainty Quantification for Physical and Biological Models | | |
| Numerical Analysis I | | |
| Numerical Methods for Nonlinear Equations and Optimization | | |
| Special Topics In Numerical Analysis | | |
| Total Hours | 30 | |