Master of Science in Biomedical Informatics

The Institute for Informatics (I2) is pleased to offer a master of science in biomedical informatics. The master’s degree program is administered through I2, and the degree is 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 
    • Applied clinical informatics
    • Population health

Core Courses: All Tracks

All students in this program will be expected to take the core courses listed below:

  • 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 (3 units)
  • BMI 5305 Introduction to Biomedical Data Science II (3 units)
  • BMI 5200 Biomedical Informatics Journal Club (2 units)
  • CLNV 510 Ethical and Legal Issues in Clinical Research (2 units) or MSB 512 Ethics in Biostatistics and Data Science (2 units)
  • Up to 10 units of research including capstone or thesis (3 units)

Scientific Writing

Students in the MS program will be expected to demonstrate completion of a scientific writing course by the time of graduation. Students who have taken the equivalent at other institutions may be excused from this course with permission of the program director. If this requirement has not been met, students will enroll in CLNV 529. This course will not count toward the 36 units required for graduation.

  • CLNV 529 Scientific Writing and Publishing (2 units)

Suggested Electives

Track: Translational Bioinformatics 

Suggested Electives:
Biol 5488Genomicsmax. 4
Biol 5491Advanced Genetics3
CLNV 513Designing Outcomes and Clinical Research3
PHS 5252Comparative Effectiveness Research2
PHS 5254Using Administrative Data for Health Services Research3
PHS 532Applied Qualitative Methods for Health Research3
CSE 530SDatabase Management Systems3
CSE 584AAlgorithms for Biosequence Comparison3
CSE 587AAlgorithms for Computational Biology3
CSE 511AIntroduction to Artificial Intelligence3
CSE 556AHuman-Computer Interaction Methods3
CSE 514AData Mining3
CSE 517AMachine Learning3
MSB 503Statistical Computing with SAS2
MSB 506Introduction to R for Data Science2
MSB 550Introduction to Bioinformatics3

Track: Applied Clinical Informatics

Suggested Electives:
CLNV 513Designing Outcomes and Clinical Research3
PHS 501Introduction to Epidemiology3
PHS 532Applied Qualitative Methods for Health Research3
CSE 530SDatabase Management Systems3
CSE 556AHuman-Computer Interaction Methods3
PHS 560Principles of Shared Decision Making and Health Literacy in the Clinical Setting3
PHS 526Patient Safety, Quality Management, and Quality Improvement3
MSB 506Introduction to R for Data Science2

Track: Population Health

Suggested Electives:
CSE 530SDatabase Management Systems3
PHS 501Introduction to Epidemiology3
PHS 5254Using Administrative Data for Health Services Research3
CSE 511AIntroduction to Artificial Intelligence3
Biol 5488Genomicsmax. 4
MSB 503Statistical Computing with SAS2
MSB 506Introduction to R for Data Science2
MSB 560Biostatistics I3
MSB 570Biostatistics II3

Prospective Students

Those interested in applying or who would like more information may contact the program manager.