Skip to main content

Master's of Data Science Curriculum

The MS in Data Science is 33 credits. Students work with their advisor to create a course plan that includes all required courses and a selection of electives to fulfill the 33 credits. 

Curriculum

33 Credits total

Proposed Full-time Course Sequence - Subject to Change
Term 1 Term 2 Term 3
Applied Statistics for Research(3 cr) Data Management (3 cr) Elective (3 cr)
Data Visualization (3 cr) Machine Learning for DS (3 cr) Elective (3 cr)
DS Foundations (3 cr) Elective (3 cr) Elective (3 cr)
  Capstone (3 cr) Capstone 2 (3 cr)
9 credits 12 credits 12 credits

 

Proposed Part-time Course Sequence - Subject to Change

Term 1 Term 2 Term 3
Data Visualization (3 cr) Data Management (3 cr) Elective (3 cr)
DS Foundations (3 cr) Machine Learning for DS (3 cr) Elective (3 cr)
6 credits 6 credits 6 credits

Second Year

Term 4 Term 5 Term 6
Applied Statistics for Research (3cr) Elective (3 cr) Elective (3 cr)
  Capstone (3 cr) Capstone (3 cr)
3 credits 6 credits 6 credits

*Electives may include subjects such as Behavior Analytics, Digital Marketing, Strategic Financial Decision Making, and Risk Management.