Undergraduate Bulletin > Mathematics and Statistics > Courses
Department of Mathematics and Statistics
Faculty
Alex Chigogidze, Professor and Head of Department
Professors Duvall, Gupta, Vaughan
Associate Professors Bouziakova, Chhetri, Erovenko, Fabiano, Richter, Seaman, Tangedal
Assistant Professors Bell, Deutsch, Nicolas, Pauli, Rychtar, Saidak, Smyth, Yasaki
Lecturers Blackmon, Weigel
The Department of Mathematics and Statistics offers undergraduate programs leading to the B.A. and B.S. degrees
in Mathematics with concentrations in statistics, pure, applied, and interdisciplinary mathematics, and computer
science. The Department also offers a graduate program leading to the M.A. degree
in Mathematics (with specialties available in pure mathematics, applied mathematics, or applied statistics) and to the Ph.D. degree in Computational Mathematics.
Mathematics is an excellent major for the student whose immediate objective is to acquire a strong liberal arts
education. The goal of all of the Department’s programs is to produce students who are both technically competent
and sufficiently well grounded in theory that they can contribute to fundamental research in their chosen specialty.
To give a professional direction to the student’s liberal arts education, the mathematics major may elect any
of the above concentrations or seek secondary teacher licensure. Students seeking secondary teacher licensure should
see Teacher Education Programs.
There are many opportunities for the undergraduate majors in the mathematical sciences in industry, government,
business, and secondary school teaching. An undergraduate major in the mathematical sciences also provides excellent
preparation for graduate studies in many areas, including actuarial sciences, computer science, economics, engineering,
law, mathematics, operations research, and statistics. The majors can be specialized to allow preparation for any
of these goals.
The department offices, classrooms, and study areas are located in the Bryan Building. Students have access to computing
facilities including personal computer laboratories and workstations. The campus is fully networked locally. The
University is an Internet node, and students and faculty have access to the Internet’s many features.