Master of Science in Biomedical Informatics

The Institute for Informatics, Data Science and Biostatistics (I2DB) is pleased to offer a master of science in biomedical informatics. The master’s degree program is administered through I2DB, 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

Core Courses

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

BMI 5302Introduction to Biomedical Informatics I3
BMI 5303Introduction to Biomedical Informatics II3
BMI 5304Introduction to Biomedical Data Science I3
BMI 5305Introduction to Biomedical Data Science II3
BMI 5200Biomedical Informatics Journal Club1
CLNV 510Ethical and Legal Issues in Clinical Research2
or MSB 512 Ethics in Biostatistics and Data Science
Up to 10 units of research including capstone or thesis3-10

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 529Scientific Writing and Publishing2

Suggested Electives

Students can tailor their course work in areas including translational bioinformatics, applied clinical informatics and public health informatics. Suggested electives for these areas are below.

Biol 5488Genomicsmax. 4
Biol 5491Advanced Genetics3
CLNV 513Designing Outcomes and Clinical Research3
CSE 511AIntroduction to Artificial Intelligence3
CSE 514AData Mining3
CSE 517AMachine Learning3
CSE 530SDatabase Management Systems3
CSE 556AHuman-Computer Interaction Methods3
CSE 584AAlgorithms for Biosequence Comparison3
CSE 587AAlgorithms for Computational Biology3
MSB 503Statistical Computing with SAS2
MSB 506Introduction to R for Data Science2
MSB 550Introduction to Bioinformatics3
MSB 560Biostatistics I3
MSB 570Biostatistics II3
PHS 501Introduction to Epidemiology3
PHS 5252Comparative Effectiveness Research2
PHS 5254Using Administrative Data for Health Services Research3
PHS 526Patient Safety, Quality Management, and Quality Improvement3
PHS 532Applied Qualitative Methods for Health Research3
PHS 560Principles of Shared Decision Making and Health Literacy in the Clinical Setting3

Prospective Students

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

Contact Info