Statistics is relentlessly interdisciplinary. Statistical tools and methodologies have applications in virtually every discipline across campus. The Department of Statistics and Data Sciences is a community engaged in research and education in statistics and scientific computation. SDS offers graduate and undergraduate students an extensive inventory of courses as well as academic degree programs.

Undergraduate

Undergraduate Courses

Undergraduate level courses are offered throughout the year under course code SSC. * Starting Fall 2014 all Undergraduate level courses are offered under the course code SDS.

Undergraduate Certificate in Applied Statistical Modeling

Provides students majoring in allied disciplines with opportunities for skill development in advanced statistical methods.

Undergraduate Certificate in Scientific Computation

Provides students the opportunity to develop mathematical, statistical, and computer-based techniques to investigate complex systems.

Graduate

Graduate Courses

Graduate level courses are offered throughout the year under the course code SSC. Short software courses (not for credit, typically three hours in length) are also offered periodically. * Starting Fall 2014 all Graduate level courses are offered under the course code SDS.

Graduate Fellows Program 

Offers a highly competitive program that provides guided experience in statistical consulting and dataset analysis.

Graduate Portfolio in Applied Statistical Modeling 

Offers a cohesive course of study for graduate students seeking to enhance the statistical modeling component of their research and to prepare for successful careers upon graduation.

Graduate Portfolio in Scientific Computation 

Offers a cohesive course of study for graduate students seeking to apply scientific computation tools to their research.

MS in Statistics

Offers a two-year comprehensive degree program focusing on a mix of theory and application.

PhD in Statistics 

Offers a four-year degree that focuses on training future researchers on the theory and methods of statistics with major emphases placed on probability models and modern computational statistical tools.