This is the preliminary (or launch) version of the 2022-2023 VCU Bulletin. This edition includes all programs and courses approved by the publication deadline; however we may receive notification of additional program approvals after the launch. The final edition and full PDF version will include these updates and will be available in August prior to the beginning of the fall semester.

The curriculum in mathematical sciences promotes understanding of the mathematical sciences and their structures, uses and relationships to other disciplines. To this end, the scholarly growth of the faculty and students in the mathematical sciences is nurtured through study, research and a high standard of teaching. The curriculum provides a sound foundation for the student seeking to enter a career with a technological orientation or for the student who wishes to pursue graduate study in applied mathematics, biomathematics, mathematics, operations research, statistics, teaching mathematics in secondary schools or related fields.

A Bachelor of Science is offered jointly by the Department of Mathematics and Applied Mathematics and the Department of Statistical Sciences and Operations Research. In the Department of Statistical Sciences and Operations Research, students pursuing the Bachelor of Science in Mathematical Sciences can choose a concentration of statistics, which teaches students how mathematical models used in the investigation of uncertain phenomena are developed and applied to experimental and nonexperimental data.

Student learning outcomes

Upon completing this program, students will know how to do the following:

Bachelor of Science in Mathematical Sciences core outcomes

  • Solve mathematical problems
  • Solve and interpret mathematical problems which originate from applications outside of mathematics
  • Use technology to solve and/or explore mathematical problems

Statistics concentration-specific outcomes

Upon completing a concentration in statistics, students will know how to do the following:

  • Demonstrate a comprehensive understanding of basic statistical concepts and terminology
  • Recognize and execute appropriate sample/experimental data collection methods
  • Effectively analyze data that has been collected and evaluate the assumptions associated with those procedures
  • Apply appropriate statistical software packages to solve/model various problems
  • Evaluate situations related to probability, statistical uncertainty, distributions and statistical inference
  • Apply calculus and/or linear algebra concepts and techniques to statistical problems in both theory and application
  • Clearly and concisely present technical information in writing
  • Clearly and concisely present technical information through oral presentations
  • Explain the general linear model and analyze data using the general linear model