The Data Science Master of Science degree program is designed to provide students with the foundations in all three major fields of Data Science: Topological Data Analysis, Machine Learning, and Statistical Methods. Students will also develop practical working skills in at least one of them. The program requires a minimum of 36 credits. Students are also expected to take a course in computer methods.
Program Requirements - 36 credits
1. Core Requirement - one course:
2. Courses in Topological Data Analysis - two courses:
3. Courses in Machine Learning - three courses:
4. Courses in Statistics - three courses:
5. Practicum Course - choose one course:
6. Elective Courses - choose two courses:
University Capstone Requirement:
The practicum course serves as the capstone experience for the Data Science Master's program. The practicums require comprehensive analysis of data sets along with oral presentations or poster presentations of the results. Students must complete one of the practicum courses with a grade of B or better.