M.S. in Biomedical Informatics Curriculum

The M.S. in Medical Sciences with a concentration in Biomedical Informatics is a 36-credit hour program.

Please visit our Courses page for more information about each course and our Course Schedule to see when courses are scheduled to be taught.

The curriculum is comprised of 36 credits:

  • 6 Core Courses
  • 2 Foundation Courses
  • 1 Statistics Course
  • 2 Elective Courses
  • A Capstone Mentored Research Experience (6 credits)

Core Courses (16 credits)

  • GMS 6803: Data Science in Clinical Research (3 credits)
  • GMS 6804: Translational Bioinformatics (3 credits)
  • GMS 6805 Introduction to Applied Ontology (3 credits)
  • GMS 6806 Security and Privacy in Clinical Research (3 credits)
  • GMS 6850: Foundations of Biomedical Informatics (3 credits)
  • GMS 6896: Health Outcomes and Policy Seminar (1 credit)

Foundation Courses – select 2 (6 credits)*

  • GMS XXXX: Clinical Decision-Making (3 credits)
  • BME 6938: Special Topics in Biomedical Engineering (Biomedical Image Analysis and Imaging Informatics) (3 credits)
  • CEN 5035: Software Engineering (3 credits)
  • COP 5725: Database Management Systems (3 credits)
  • GMS 6822: Measuring and Analyzing Health Outcomes II (3 credits)
  • PHC 6410: Psychological, Behavioral, and Social Issues in Public Health (3 credits) -OR- PHC 6001: Principles of Epidemiology in Public Health (3 credits)
  • Other relevant graduate level course if approved by the program director

Statistics Course – select 1 (3 credits)*

  • GMS 6861: Applied Biostatistics 1 (3 credits) OR STA 6176: Introduction to Biostatistics (3 credits)
  • PHC 6050c: Biostatistical Methods I (3 credits)
  • STA 6166: Statistical Methods in Research 1 (3 credits)
  • STA 6178: Genetic Data Analysis (3 credits)

Electives – select 2 (5-6 credits)*

  • GMS XXXX: Semantic Web Technologies in Healthcare and Biomedical Research (3 credits)
  • CAP 5100: Human-Computer Interaction (3 credits)
  • CAP 5510: Bioinformatics
  • CAP 5635: Artificial Intelligence Concepts (3 credits)
  • CAP 6610: Machine Learning (3 credits)
  • COP 5725: Database Management Systems (3 credits)
  • COT 5405 Analysis of Algorithms (3 credits)
  • COT 5615: Mathematics for Intelligent Systems (3 credits)
  • COP 5618: Concurrent Programming (3 credits)
  • BME 6938: Special Topics in Biomedical Engineering (Machine Learning for Health and Biomedical Applications) (3 credits)
  • GMS 6885: Research Designs in Health Outcomes and Policy (3 credits)
  • GMS 6862: Applied Biostatistics 2 (3 credits) –OR– STA 6167: Statistical Methods in Research 2 (3 credits)
  • GMS 7093: Introduction to Clinical & Translational Research (2 credits)
  • PHI 5135: Graduate Logic (3 credits)
  • STA 5325: Fundamentals of Probability (3 credits)
  • Other relevant graduate level course if approved by the program director

Capstone Mentored Research Experience (6 credits)

  • GMS 6971: Research for Master’s Thesis

*Note: students will need to have their degree plan approved by the program coordinator.