The Genomic Data Science certificate prepares students for data-driven decision making, and deriving insights from genomic data sets using the most up-to-date statistical methods, computational methods and analytical tools available, with an emphasis on applications in biomedical research The program blends topics in statistical methods, statistical computing, machine learning and algorithm development relating to genomic applications in biomedical research, to train students to become effective data scientists. Additional skills that students will develop include the ability to work with large genomic databases, to manage and evaluate data sets, and create meaningful output that can be used in effective decision-making.

To Apply:  Send an email Deborah Osowski dosowski@schoolph.umass.edu to set up an appointment with one of the directors of the certificate program.

Curriculum:

The following curriculum is subject to change when appropriate by consent of the Department of Biostatistics and Epidemiology. For prerequisite information, students can see the list of prerequisites for each individual course. A total of four 3-credit courses listed below are required. Students must complete the required courses with a grade of  "B+" or better for each course. All courses must be taken through UMass Amherst.

One or both of the following:

At least two of the following: