This program is designed to provide students with the foundation of Machine Learning. Students will also develop practical working skills in this area. The program requires 9 graduate credits with an average grade of B or higher. Students are admitted with various undergraduate majors in mathematics, sciences, and social sciences. Students who are deficient in their mathematical preparation must make up such deficiencies before being formally admitted into the program.
Program Requirements - 9 credits
Required Courses:
- Mat 590 Function Theory and Functional Analysis for Applications (3 credits)
- Mat 591 Optimization Methods and Nonlinear Programming (3 credits)
- Mat 592 Machine Learning (3 credits)