Biostatistics

The MS in Biostatistics Statistical Genetics Track is intended to provide students with the skills to design and analyze research using genetic data from human studies. Competencies of the Statistical Genetics Track are achieved through a curriculum of 36 credit hours of course work and the capstone experience.

In addition to achieving the MS in Biostatistics core competencies, students in the Statistical Genetics Track gain the following specific competencies in the areas of data analysis and computing, public health and collaborative research, teaching statistical genetics, and statistical genetics research.

Upon satisfactory completion of the MS in Biostatistics Statistical Genetics Track, graduates will be able to:

Data Analysis and Computing

• Use genetic analysis programs and interpret the results

Public Health and Collaborative Research

• Formulate testable hypotheses in human genetics and design studies to test those hypotheses
• Understand and explain the factors that go into selecting appropriate samples
• Understand and explain the critical importance of phenotype definition

Teaching Statistical Genetics

• Explain the mathematical underpinnings of genetic analysis, including familial aggregation studies, twin studies, and segregation, linkage, and association analysis
• Explain the biological underpinnings of genetic influences on disease risk

Statistical Genetics Research

• Test and evaluate new methods of genetic analysis as they become available
• Demonstrate familiarity with the role of laboratory techniques such as genotyping and sequencing, extracting DNA from blood, PCR; and
• Demonstrate knowledge of the role of microarray technology and other current molecular-biological techniques.