Dec 03, 2024  
2024-2025 General Catalog 
  
2024-2025 General Catalog

Data Science - MS


College of Science

Department of Computer Science 

Mathematics and Statistics

Requirements for the Master of Science in Data Science are listed below. Students must complete 30 credit hours, 12 of which must be at the 6000 level or above (excluding CS 6900 CS 6250 CS 6970 STAT 6250  and STAT 6970 ). All students will complete a Plan A MS which includes the completion of a thesis that will be reviewed by their committee.  An overall GPA of 3.0 or higher and individual course grades of B- or better (in all degree-program coursework) are required.

Students with an overall GPA below 3.0 at the completion of fall and spring semesters will be issued an academic warning. If a student’s institution or Program of Study GPA remains below 3.0 for two consecutive semesters, they will be dismissed from the program.

A bachelor’s degree from an accredited U.S. college or university or a similarly recognized international university is required for admission to and completion of a graduate program.

A master’s degree must be completed within six years of entering the degree program. Additional time may be requested by the student’s committee and submitted to the Vice Provost of Graduate Studies for review. Coursework over eight years old at the time of degree completion may not be used for a graduate degree unless it is revalidated.

At least 24-semester credits for a master’s degree must be from a committee-approved and a School of Graduate Studies-approved Program of Study from Utah State University.

Students must submit and obtain approval of academic forms required for master’s students by the School of Graduate Studies .

Required Courses


Students are required to complete the 1-credit seminar course CS 6900  and 6 credits of either CS 6970  or STAT 6970 . Furthermore, students must take 9 credits from the following list of courses:

Research Requirements


  • Form a supervisory committee.
  • Complete a graduate thesis proposal.
  • Prepare a graduate thesis based on original work.
  • Successfully defend and submit the thesis to the library.