Big Data. Big Future.
Explore Harvard’s new program and prepare for an exciting career in bioinformatics
The 80-credit Master of Science in Computational Biology (SM2) degree, offered jointly by the Department of Epidemiology and the Department of Biostatistics, 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. It 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.
This new 80-credit program 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
For detailed information about this collaborative degree program between the Departments of Epidemiology and Biostatistics, please visit the full Computational Biology and Quantitative Genetics website. Here you will find tremendous resources pertaining to program & thesis requirements, degree prerequisites, and frequently asked questions.
Add your name to the admissions mailing list now and apply by December to join the Master of Science (SM) in Computational Biology and Quantitative Genetics program at Harvard School of Public Health.