Track Leader: Frederick Schumacher, PhD, MPH
Students will be trained to work in genomics and bioinformatics. In addition to the basics in biostatistics, they will learn the designs, methods, techniques, and tools that are commonly used in genetic epidemiology, statistical genomics, and bioinformatics research. Big Data methods of data mining and machine learning are also required in this track. This training prepares graduates for positions as analysts, statisticians and bioinformatics specialists on a genomics or genetic epidemiology research team in a research institute/university, pharmaceutical or biotech company.
Track-Required Courses:
- Introduction to Genomics and Human Health (PQHS 451)
- Statistical Methods in Genetic Epidemiology (PQHS 452)
- Design & Analysis of Sequencing Studies (PQHS 457)
- Machine Learning & Data Mining (PQHS 471)