Master of Science in Computational Biology and Quantitative Genetics

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 and 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.

Statement of Purpose and Objectives
Test scores
3 Letters of Reference
CV/Resume (Note that applicants should also complete the Experiences and Achievements sections of the SOPHAS application.)
Official transcripts/mark sheets from all post-secondary institutions (non-US credentials must be evaluated by World Education Services)
Completed SOPHAS application.

TOEFL-The Harvard Chan School prefers a 104+ on the TOEFL IBT and our minimum score requirement is 100 with sub-section scores of 25 or higher on the IBT.

IELTS- The Harvard Chan School will accept the IELTS Academic Test with a score of 7.5 or greater.