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Degree Requirements

The MS in Health Analytics degree requires a minimum of 48 semester hours.

MS Student Handbook

School-Wide Core Requirements (6 semester hours) Heading link

  • EPID 403 – Introduction to Epidemiology: Principles and Methods (3 semester hours)
  • IPHS 520 – Foundations of Public Health(3 semester hours)
  • Master of Science comprehensive examination

Required Non-Credit Training Heading link

Biostatistics Core Requirements (37 semester hours) Heading link

  • BSTT 426 – Health Data Analytics Using Python Programming (3 semester hours)
  • BSTT 413 – Introductory to Programming in R (2 semester hours)
  • BSTT 523 – Biostatistics Methods I (4 semester hours)
  • BSTT 525 – Biostatistics Methods II (4 semester hours)
  • BSTT 527 – Statistical Learning in Health Analytics (3 semester hours)
  • BSTT 528 – Machine Learning in Health Analytics (3 semester hours)
  • BSTT 529 – Health Analytics Investigations (2 semester hours)
  • BSTT 535 – Categorical Data Analysis (3 semester hours)
  • STAT 401 – Introduction to Probability (4 semester hours)
  • STAT 411 – Statistical Theory (4 semester hours)

Electives (minimum 8 semester hours) Heading link

Students will complete the MS in Biostatistics, Health Analytics concentration through coursework only. The course BSTT 529 measures the main competency of the Health Analytics concentration. This course includes a comprehensive investigation of either a large or sparse complex health data set that will require application of numerous health analytic methods with an emphasis on public health research applications. A final comprehensive written report is needed to complete the program. At least two faculty members from the division will evaluate the final report.