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Data Science Ph.D.

Application Requirements for Data Science Ph.D.

View Degree Plan

Download Data Science Course Checklist (Excel)

Degree Requirements

  • COMPUT 601 – Introduction to Graduate Studies (1 credit)

Required Core Courses (12 credits):

  • CS 533 – Introduction to Data Science (3 credits)
  • CS 534 – Machine Learning (3 credits)
  • MATH 562 – Probability and Statistics II (3 credits)
  • MATH 572 – Computational Statistics (3 credits)

Data Science Elective Courses (6 credits):

  • 3 credits must be in CS and 3 must be in MATH.

    Pre-approved data science electives can be found in the student handbook

Elective Courses (10 credits):

  • Must be approved by the supervisory committee and Computing Program directors. Pre-approved electives and specific requirements are given in the student handbook

Comprehensive Exam (1 credit):

  • COMPUT 691 Doctoral Comprehensive Examination (1 credit)

Dissertation (30 credits):

  • COMPUT 693 Dissertation (30 credits)

Total Credits: 60

Content on this page is provided as a quick reference for planning. All official degree requirements are published on the Graduate Catalog site.