Program Structure and Curriculum

The Master of Science in Biomedical Data Science (MBDS) program is a unique opportunity for students with a strong quantitative background to apply computational biology and data science techniques to biomedical problems. The 30-credit program includes successfully completing the following requirements:

Core Options

Students can choose from the following three core options, depending on the focus for their Capstone Project:

  • Biomedical Sciences (BSR1012, 6 credits)
  • Systems Biomedicine (BSR1800, 8.5 credits)
  • Principles of Neural Science, Behavior, and Brain Pathophysiology (BSR1706/BSR1705, 8 credits)

Required Courses

Students must take the following three required courses, totaling nine credits:

  • Computer Systems (BMI 1005-1007, 3 credits)
  • Introduction to Algorithms (BMI 2005, 3 credits)
  • Machine Learning for Biomedical Data Science (BMI 3002, 3 credits)

Mandatory Training Sessions

Students must take the following two additional mandatory training requisites:

  • Responsible Conduct of Research (BSR1021, 8 hours of training, .5 credit)
  • Rigor and Reproducibility (BSR1022, 8 hours of training, .5 credit)

Elective Credits

Students must take 2.5 - 5 elective credits in order to do complementary coursework in areas of greatest interest to them.

Capstone Research Project

For their capstone research project (BMI 9001), students may choose from one of the following biomedical data science research areas:

  • computational genomics
  • computational biophysics
  • systems pharmacology
  • biomedical engineering
  • imaging and visualization
  • biostatistics
  • clinical epidemiology
  • clinical trials
  • environmental medicine
  • public health
  • health systems design
  • health information technology

Program Schedule

The following sample program schedule offers a snapshot of the term-by-term course requirements.

Course #

Course

Credits

BSR 1012

Biomedical Sciences (or)

6

BSR 1800

Systems Biomedicine (or)

8.5

BSR 1705-06 

Prin. Of Neural Sci. Behavior & Brain Pathophysiology

8

BMI 1005-07

Computer Systems

3

BSR 1021

Responsible Conduct of Research

.5

Suggested Electives

  • MPH 0300 Introduction to Biostatistics
  • BIO 6400 Biostatistics for Biomedical Research

Term Credit Total: 9.5 – 12

Course #

Course

Credits

BMI 2005

Introduction to Algorithms

3

BMI 3002

Machine Learning for Biomedical Data Science 

3

 

BSR 1022

Rigor and Reproducibility

.5

Suggested Electives

  • BIO 8200 Analysis of Categorical Data
  • BIO 8700 Theory of Linear and Generalized Linear Models
  • BIO 9001 Applied Analysis of Health Care Databases
  • BMI 2002 Biomedical Software Engineering
  • BSR 1803 Systems Biology: Biomedical Modeling
  • MHP 0812 Applied Linear Models I
  • MHP 0802 Statistical Inference
  • MPH 0311 Multivariable Methods
  • MPH 0821 Analysis of Longitudinal Data
  • MPH 0822 Applied Linear Models II (Prereq  ALM 1)

Total: 2.5-5 credits

Term Credit Total: 9 – 11.5

Course

Course #

Credits

Capstone Research Project

BMI 9001

Up to 9

Term Credit Total: 9