Master of Science in the Field of Health and Biomedical Data Science, Applied Bioinformatics Concentration

This program will be offered starting Fall 2021.

Program Co-Directors  K. Crandall and A. Elmi

The master of science in health and biomedical data science program develops leaders and practitioners in public health and medicine through training in fundamentals and innovative data analysis.

Students choose one of two concentrations: applied biostatistics or applied bioinformatics. The program offers a unique blend of the two disciplines, which helps practitioners become successful collaborators in interdisciplinary research. Each concentration focuses on the foundations of the respective discipline to acquire fundamental knowledge and experience in the subject area while gaining core knowledge in the foundations of the other concentration. 

Visit the program page for more information.

The following requirements must be fulfilled: 36 credits, including 9 credits in required core courses, 15 credits in required concentration-specific courses, 9 credits in elective courses, and 3 credits in consulting/thesis.

Required
Core courses (9 credits)
PUBH 6080Pathways to Public Health
PUBH 6850Introduction to SAS for Public Health Research
PUBH 6851Introduction to R for Public Health Research
PUBH 6852Introduction to Python for Public Health Research
PUBH 6860Principles of Bioinformatics
PUBH 8870
Applied bioinformatics concentration-specific courses (15 credits)
PUBH 6859High Performance and Cloud Computing
PUBH 6861Public Health Genomics
PUBH 6884Bioinformatics Algorithms and Data Structures
PUBH 6885Computational Biology
PUBH 6886Statistical and Machine Learning for Public Health Research
Electives
9 credits in elective courses. See Program Guide for suggested options.
Consulting, research, and thesis
3 credits taken as follows:
PUBH 6897Research in Biostatistics and Bioinformatics (2 credits)
PUBH 6898Master of Science Thesis (1 credit)