Master of Science in the Field of Health and Biomedical Data Science

This program has a fall 2021 start date.

The master of science in the field of health and biomedical data science program positions graduates to be leaders and practitioners in public health and medicine. The program blends biostatistics and bioinformatics concepts with practical experience in health data analyses, with a focus on collaboration in interdisciplinary research.

As part of their program of study, students pursue one of two tracks:

Biostatistics track

The biostatistics track prepares graduates to conduct research, undertake evaluation studies, and monitor population health status in academic, government, private sector, and community health settings. Through this research, students gain an understanding of the risk factors for chronic diseases such as diabetes, and how infectious diseases, such as Zika, Ebola, HIV/AIDS, and COVID-19, spread. Graduates work with the most vulnerable communities in order to improve health outcomes.

Bioinformatics track

The bioinformatics track prepares students for work as data analysts, informaticians, and/or software developers with opportunities in governmental, academic, and private sector settings. Graduates are primed to pursue independent doctoral-level research at leading programs in bioinformatics and computational biology. Through this research, students gain an understanding of the risk factors for chronic diseases such as cancer and how infectious diseases, such as Zika, Ebola, HIV/AIDS, and COVID-19, spread and evolve.

The following requirements must be fulfilled: 36 credits, including 9 credits in required core courses, completion of one of two tracks for either 15 or 21 credits. Depending on which track is selected, students take either 4 or 9 credits in common and/or track-specific elective courses and either 2 or 3 credits in consulting, research, and thesis courses.

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 6899Topics in Biostatistics and Bioinformatics (Ethical and Professional Skills Training)
STAT 6201Mathematical Statistics I
Biostatistics track (21 credits)
PUBH 6862Applied Linear Regression Analysis for Public Health Research
PUBH 6864Applied Survival Analysis for Public Health Research
PUBH 6865Applied Categorical Data Analysis
PUBH 6866Principles of Clinical Trials
PUBH 6879Propensity Score Methods for Causal Inference in Observational Studies
PUBH 6887Applied Longitudinal Data Analysis for Public Health Research
STAT 6202Mathematical Statistics II
Bioinformatics track (15 credits)
PUBH 6884Bioinformatics Algorithms and Data Structures
PUBH 6859High Performance and Cloud Computing
PUBH 6861Public Health Genomics
PUBH 6885Computational Biology
PUBH 6886Statistical and Machine Learning for Public Health Research
Electives
For the biostatistics track 4 credits and for the bioinformatics track 9 credits in courses selected from the following:
Electives common to both tracks:
PUBH 6853Use of Statistical Packages for Data Management and Data Analysis
PUBH 6856Advanced SAS for Public Health Research
PUBH 6899Topics in Biostatistics and Bioinformatics (Data Visualization with R Only)
PUBH 6899Topics in Biostatistics and Bioinformatics
PUBH 8875Linear Models in Biostatistics
PUBH 8877Generalized Linear Models in Biostatistics
STAT 6223Bayesian Statistics: Theory and Applications
Electives for the biostatistics track only:
PUBH 6003Principles and Practices of Epidemiology
PUBH 6299Topics in Epidemiology (Cost Effectiveness in PH Research Only)
PUBH 6861Public Health Genomics
PUBH 6863Applied Meta-Analysis
PUBH 6899Topics in Biostatistics and Bioinformatics (Advanced Clinical Trials Only)
PUBH 6885Computational Biology
PUBH 6886Statistical and Machine Learning for Public Health Research
STAT 6227Survival Analysis
Electives for the bioinformatics track only:
BIOC 6240Next Generation Sequencing
CSCI 6221Advanced Software Paradigms
CSCI 6231Software Engineering
PUBH 6238Molecular Epidemiology
PUBH 6244Cancer Epidemiology
PUBH 6262Introduction to Geographic Information Systems
PUBH 6263Advanced GIS
PUBH 6276Public Health Microbiology
PUBH 6278Public Health Virology
PUBH 6894Research Analytics
STAT 6202Mathematical Statistics II
Consulting, research, and thesis
2 credits for the biostatistics track and 3 credits for the bioinformatics track taken in the following courses:
PUBH 6869Principles of Biostatistical Consulting (1 credit, biostatistics track only)
PUBH 6897Research in Biostatistics and Bioinformatics (2 credits, bioinformatics track only)
PUBH 6898Master of Science Thesis (1 credit, biostatistics and bioinformatics tracks)