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The Master of Science in Computational Biology and Quantitative Genetics equips students with advanced quantitative skills to tackle complex challenges in biomedical research involving large-scale public health datasets (Big Data). This 80-credit interdisciplinary program, collaboratively offered by the Biostatistics and Epidemiology Departments, delivers comprehensive training in: Fundamental biological principles for data interpretation, Bioinformatics tools and database resources, Computational techniques for Big Data processing, Statistical methods for large dataset analysis, and Epidemiological approaches for experimental design. The SM degree serves as both a career-launching credential for bioinformatics professionals and a stepping stone for doctoral studies in biostatistics, epidemiology, computational biology, and related disciplines.
The 80-credit master of science requires prior bachelor’s degree or non-U.S. equivalent. Some departments prefer relevant work experience as well.
English Language Scores: The Harvard Chan School requires a minimum of 600 on the paper-based test, 250 on the computer-based test, and 100 on the Internet-based 4-part test (we prefer individual section scores of 23 or better). The International English Language Testing System (IELTS) will also be accepted with a score of 7.0 or greater. Application Deadline: December 01.