Program Overview

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:

BIOSTATS 690MS		Stochastic Models for Population Genomics
BIOSTATS 690T		Applied Statistical Genetics

At least two of the following:

BIOSTATS 690DS	Data Science: Visualization, Statistics and Computing
BIOSTATS 690JQ	Applied Statistical Learning
BIOSTATS 740	Mixed models and analysis of longitudinal data
BIOSTATS 697G	Bayesian Computation in Biostatistics
EPI 737	Intermediate Epidemiological Methods
EHS 600	Molecular Epidemiology
CMPSCI 589/STAT 697ML	Machine Learning