Mathematics

First-Year Schedule | Actuarial Mathematics Curriculum | Applied Mathematics Curriculum | Mathematics Minor | Courses |  Faculty | Math Achievement Center

The mathematics program at Pitt-Johnstown is grounded in both theory and practice, successfully preparing students for admission into advanced education or productive careers in fields including technology, finance and risk management, higher education, and the government. The bachelor of science program offers two options:

• Actuarial Mathematics This option provides students with the mathematical and statistical background to assess risk in industries including insurance and finance. Graduates from this track also pursue graduate study and enjoy successful careers in education. Actuaries study risk analysis.  For more information on a career in actuarial mathematics, visit the Society of Actuaries.
• Applied Mathematics This option focuses on what is typically considered mathematics and prepares students to pursue advanced education or establish careers in areas including the National Security Agency and the Department of Defense. Many undergraduate Mathematics and Computer Science majors choose to pursue a dual major in both areas.

The main course of study for mathematics majors in both options includes a core of fundamental courses in the discipline as well as related technology component.  Upon completion of the core courses, the two options differ only in that the Applied Option requires a minor from a related area within the natural sciences (currently there are minors offered in Biology, Chemistry, Computer Science, Geology, Physics and Psychology), while the Actuarial Option replaces that minor with a concentration of courses in Business and Economics.  A minor in Mathematics is also offered.

Core courses include Calculus I, II and III, Discrete Mathematics, Introduction to Theoretical Mathematics, Technical Speaking in Mathematics, Introduction to Probability and Statistics I and II, Mathematics Seminar 1 (technology), Linear Algebra, Differential Equations, Perspectives in Computer Science, and ADAH Programming.