The program objectives are well described by the following intended learning outcomes. On successful completion of the program, graduates will be able to:

1. Handle large amount of data using computational tools
2. Extract significant features from the data using scientific programming and statistical learning
3. Select appropriate hardware for different computational tasks
4. Interpret time-dependent data using concepts of stochastic processes
5. Utilize quantitative skills to make predictions
6. Provide solutions to optimization problems and for decision making through data-based modeling; and
7. Adopt an innovation-minded attitude in exploring new uses of data-driven modeling