Track Leader: Abdus Sattar, PhD
Students following the generalist biostatistics track will receive balanced training in biostatistical theories and methods. Students will gain mastery of basic probability theory and statistical inference, learn the methods of survival and longitudinal data analysis, and still have the flexibility to choose an elective from advanced courses.
The instruction in methods and theory, as well as the hands-on analytical training supports the pursuit of an advanced relevant degree and/or work as a master’s prepared biostatistician in various settings, including academia, industry (especially in pharmaceutical research), and government agencies.
Track-Required Courses:
- Survival Data Analysis (PQHS 435)
- Introduction to Mathematical Statistics (PQHS 480)
- Longitudinal Data Analysis (PQHS 459)
- One of the following courses:
- Machine Learning and Data Mining (PQHS 471)
- Multivariate Analysis and Data Mining. (STAT 426)