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