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Curriculum

For students who entered the MDSAI (MSBDS) program prior to 2025, please refer to your curriculum checklists on the Blackboard site.

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Core Curriculum (6 credits)

All students must complete three of the four fundamental core curriculum courses in their first semester.

  • BSR1030 Core I: Biochemistry & Molecular Biology (2 credits) – Fall

  • BSR1031 Core II: Pharmacology & Drug Discovery (2 credits) – Fall

  • BSR1032 Biomedical Sciences Core III: Cell & Developmental Biology (2 credits) – Fall

  • BSR1033 Core IV: Neuroscience (2 credits) – Fall

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Other Required Coursework (9.5 credits)

  • Computer Systems: The computer systems course is split into 3 separate 1 credit courses. The courses are offered in a specific sequence during the fall term. Each course will be graded separately.

    • BDS1005 Computer Systems: UNIX/LINUX Fundamentals (1 credit)

    • BDS1006 Computer Systems: Architectures & Applications in Scientific Computing (1 credit)

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Mandatory Training Sessions (1 credit)

Students must take the following two additional mandatory training requisites:

  • BSR1021 Responsible Conduct of Research (0.5 credit) – Fall

  • BSR1022 Rigor and Reproducibility (0 .5 credit) – Spring

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Elective Credits (4.5-11 credits)

Students take elective credits to pursue complementary coursework in areas of most significant interest to their research topic.

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Capstone Research Project (3-9 credits)

Students in the MSDSAI program complete a culminating capstone project. Capstone research projects are performed using a wide range of approaches with various of biomedical applications. Below is an illustrative list or research areas:

  • computational genomics

  • computational biophysics

  • systems pharmacology

BDS1007 Computer Systems: Introduction to Scientific Programming in Python 3 (1.5 credits)

  • BDS2005 Introduction to Algorithms (3 credits) – Spring

  • BDS3002 Machine Learning for Biomedical Data Science (3 credits) – Spring

  • biomedical engineering
  • imaging and visualization

  • biostatistics

  • clinical epidemiology

  • clinical trials

  • environmental medicine

  • public health

  • health systems design

  • health information technology