I2 is pleased to offer a master of science in biomedical informatics. The master’s degree program is administered through I2 and housed in the Clinical Research Training Center. Degrees are conferred through Washington University School of Medicine. 

More information about our programs can be found on the Graduate Programs in Biomedical Informatics webpage.

Master of Science

  • 36 units

  • Capstone/thesis

  • Two to five years for program completion

  • Full-time and part-time options
  • Three tracks offered:
    • Translational bioinformatics and clinical research informatics
    • Clinical informatics
    • Bioinformatics

Core Courses: All Tracks

All students in this program will be expected to take the core classes listed below (with the exception of the research credit units):

  • BMI 5302 Introduction to Biomedical Informatics I (3 units)
  • BMI 5303 Introduction to Biomedical Informatics II (3 units)
  • BMI 5304 Introduction to Biomedical Data Science I
  • BMI 5305 Biomedical Data Science II (3 units)
  • BMI 5204 Mixed Methods in Biomedical Informatics
  • BMI 5200 Biomedical Informatics Journal Club (2 units)
  • CLNV 510 Ethical and Legal Issues in Clinical Research (2 units)
  • BMI 5201 Biomedical Informatics Rotation (4 units)

Core Competencies: All Tracks

Students in the MS program will be expected to have the competencies listed below by the time of graduation. Students who have taken the equivalent at other institutions may be excused from these courses with permission of the program director.

  • MSB 506 Introduction to R for Data Science (2 units)
  • MSB 560 Biostatistics I (3 units)
  • MSB 570 Biostatistics II (3 units)
  • BMI 5304 Introduction to Biomedical Data Science I (3 units)
  • CLNV 529 Scientific Writing and Publishing (2 units)

Suggested Competencies & Electives

Track: Translational Bioinformatics and Clinical Research Informatics

Competency:
PHS 5252Comparative Effectiveness Research2
PHS 5254Using Administrative Data for Health Services Research3
CSE 530SDatabase Management Systems3
PHS 532Applied Qualitative Methods for Health Research3
CLNV 513Designing Outcomes and Clinical Research3
CSE 511AIntroduction to Artificial Intelligence3
CSE 556AHuman-Computer Interaction Methods3
Suggested Electives:
CSE 514AData Mining3
CSE 515TBayesian Methods in Machine Learning3
CSE 517AMachine Learning3
MSB 503Statistical Computing with SAS3

Track: Clinical Informatics

Competency:
CSE 530SDatabase Management Systems3
PHS 532Applied Qualitative Methods for Health Research3
CLNV 513Designing Outcomes and Clinical Research3
PHS 501Introduction to Epidemiology3
CSE 556AHuman-Computer Interaction Methods3
Suggested Electives:
PHS 560Principles of Shared Decision Making and Health Literacy in the Clinical Setting3
PHS 526Patient Safety, Quality Management, and Quality Improvement3
MSB 503Statistical Computing with SAS3

Track: Bioinformatics

Competency:
CSE 584AAlgorithms for Biosequence Comparison3
CSE 587AAlgorithms for Computational Biology3
Or Biol 5495
Computational Molecular Biology
CSE 530SDatabase Management Systems3
CSE 511AIntroduction to Artificial Intelligence3
Biol 5488Genomics3
Suggested Electives:
Biol 5491Advanced Genetics3
MSB 503Statistical Computing with SAS3