Big Data. Big Future.
Prepare yourself for a career as a bioinformatics analyst or engineer in universities & hospitals, research organizations, and the pharmaceutical & biotechnology industries.
The Master of Science in Computational Biology and Quantitative Genetics provides students with the rigorous quantitative training and essential skills needed to successfully meet the challenges presented by large-scale public health data — “Big Data” — in biomedical research.
This new 80-credit program, offered jointly by the Departments of Biostatistics and Epidemiology, is designed to provide students with:
- The biological background needed to understand and interpret data
- A bioinformatics background providing familiarity with essential tools and data resources
- Computational skills used to for analyze and manage “Big Data”
- Statistical skills required to appropriately analyze large quantitative datasets
- Epidemiological skills necessary for the design, conduct, and analysis of experiments
The SM in Computational Biology and Quantitative Genetics is intended as a terminal professional degree which will enable you to launch your career in bioinformatics. It can also provide the foundation for further doctoral studies in biostatistics, epidemiology, computational biology, and other related fields.
Program Director: John Quackenbush