Applicants for graduate study must have earned a baccalaureate degree from an accredited college or university with a scholastic average of B (3.0 on a 4.0 scale) or better.
Prerequisites for admission to the MST degree program include one college course (3 credits or more) in each of the following (the corresponding Pitt course numbers are indicated):
- Programming: A course on object-oriented programming using Java, C#, or C++. (CMPINF 0401)
- Probability and Statistics: A course covering data collection, descriptive and inferential statistics is optimal. It should cover measures of central tendency and variability, regression, correlation, non-parametric analysis, probability, and sampling, Bayesian analysis, significance tests, and hypothesis testing. (STAT 0200 or STAT 1000)
- Mathematics: A college-level mathematics course, in linear algebra, calculus, or discrete mathematics (MATH 0120, MATH 0220, or MATH 0400)