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Master of Science Computational Biology and Quantitative Genetics

December 19th, 2024 2:47 am

The Master of Science in Computational Biology and Quantitative Genetics is designed to provide you with the statistical skills required to appropriately analyze large quantitative datasets as well as the epidemiological skills necessary to design, conduct, and evaluate experiments.

You will receive training in quantitative methods, including linear and logistic regression, survival analysis, longitudinal data analysis, statistical computing, clinical trials, statistical consultation and collaboration, and epidemiology. You will also gain a strong foundation in modern molecular biology and genetics, computer programming, the use and application of tools for analysis of genomic data, methods for integrative analysis, and meta-analysis of genes and gene function.

The program is intended as a terminal professional degree that enables 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.

On Campus (Fall start) Full-time (2 years)

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Master of Science Computational Biology and Quantitative Genetics

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