Mathematics (MT)

Professors: P.L. Shick, B.K. D’Ambrosia (Chair); Associate Professor: P.B. Chen

Major Programs

The Department of Mathematics, Computer Science, and Data Science offers two major programs in Mathematics. The department also offers Computer Science and Data Science programs described in separate sections on Computer Science (CS) and Data Science (DATA).

The major in Mathematics leading to the bachelor of science degree prepares students for immediate employment after completion of the degree or for graduate study. It is designed to give students a broad background in all the major areas of mathematics, while remaining flexible enough to allow students to tailor the program to meet their career objectives. Graduates have entered graduate programs in mathematics, statistics, and operations research/supply chain management at many leading universities, while others have entered into a variety of employment situations—as actuaries, statisticians, analysts, computer programmers, systems analysts and teachers, for example. Other graduates have entered professional schools in law, medicine, and business.

The major in Teaching Mathematics leading to the bachelor of arts degree combines mathematics and education courses for licensure to teach Adolescent to Young Adult (AYA) mathematics.

Minor Programs

The minor in Mathematics provides students with a variety of experiences that are fundamental to the further study of mathematics.

The minor in Actuarial Science helps to prepare students to take the Society of Actuaries Exams P and FM.

Mathematics for Teaching Licensure

The department offers mathematics content courses for students pursuing licensure to teach Early Childhood and Middle Childhood mathematics. 

Program Learning Goals in Mathematics

Students will:

  1. Develop an in-depth integrated knowledge in algebra, geometry, and analysis.
  2. Be able to communicate mathematical ideas and present mathematical arguments both in writing and orally using proper use of mathematical notation and terminology.
  3. Be able to distinguish coherent mathematical arguments from fallacious ones, and to construct complete formal arguments of previously seen or closely-related results.
  4. Be able to give complete solutions to previously seen or closely-related problems.
  5. Be able to use definitions, theorems, and techniques learned to solve problems they have not seen before.
  6. Be able to synthesize material from multiple perspectives and make connections with other areas.
  7. Be able to use technology appropriate to each topic.