The M.S. in Applied Data Science program consists of 3 semesters of on-campus study, culminating in a paid practicum during the final semester. Students must complete 36 credit hours satisfactorily with a minimum average of 3.0 to obtain their M.S. degree.
Year One: Fall Semester
- Introduction to Data Science Bootcamp
- Applied Statistics I
- Data Munging and Exploratory Data Analysis
- Algorithms for Data Science
- Databases for Data Science
- Industrial Seminar Series I
Year One: January Interterm
- Industrial Workshops
Year One: Spring Semester
- Applied Statistics II
- Data Visualization
- Applied Machine Learning
- Distributed Computing
- Industrial Seminar Series II
Year One Summer or Year Two January Interterm
- Industrial Practicum I
Year Two: Fall Semester
- Advanced Applied Statistics
- Advanced Applied Computing
- Practical Data Science
- Industrial Seminar Series III
Year Two: Spring Semester
- Industrial Practicum II