Computational and Applied Statistics

The Department of Mathematics offers a Post-Baccalaureate Certificate in Computational and Applied Statistics.  This 15-hour certificate provides a formal expertise in statistics at the graduate level and is designed for students willing to expand their statistical knowledge and enhance their expertise in data analysis beyond the undergraduate level.  Students are trained with both a rigorous foundation of the theory of probability and statistics, (including regression analysis and analysis of variance), and in computational component where they learn how to assemble the computational tools needed to solve data-analysis problems.  The overall objective of the certificate program is to give working professionals the necessary skills to ensure their data-based inferences and decisions are based on sound statistical principles.  When only the certificate is being pursued, it must be completed in three years.  However, students may participate in the certificate must be completed within the timeframe allotted for the graduate degree, while a minimum of 50% of the certificate hours must be course work that is not included as part of the program of study for the graduate degree. 

Admission to the Program

Individuals must have a Bachelor’s degree in some scientific field from an accredited institution and meet the admission requirements of the Admission Requirements 

Critical Undergraduate coursework required for admission

Differential and Integral Calculus, Multivariate Calculus, Elementary Linear Algebra, and an upper-level course in Probability and Statistics.  Students with a strong mathematical background are encouraged to apply to our M.S. in Mathematics with concentration in Applied Statistics.