Students take a number of courses in statistical theory and methodology and conduct original research under the supervision of an advisor. This training prepares them to serve as a professor in an academic institution; a professional in industry, government, financial services, or healthcare institutes; and a researcher in the public or private sector.

• Creative and critical thinking; advanced knowledge of specialized statistical theories, methods, tools and practices. Ability to create logical statistical arguments and conclusions with accuracy and clarity.
• Ability to formulate a strategy for analysis of a given dataset, apply it using a statistical software, and evaluate its appropriateness; independent research ability.
• Proficiency in scientific writing and presentation; proficiency in computer programming languages including R and SAS; knowledge of pedagogical practices.