The Department of Mathematics at the University of Idaho has an active research faculty, with some participating in interdisciplinary collaborations.

Graduate classes are small, with enrollments ranging from five to twenty students, and students enjoy ready access to faculty.

Contact Us

Moscow

Department of Mathematics
math@uidaho.edu
phone: (208) 885-6742
fax: (208) 885-5843
300 Brink Hall

Mailing Address
875 Perimeter Drive, MS 1103
Moscow, ID 83844-1103

Graduate Program

Master of Arts in Teaching

The M.A.T. degree prepares students for secondary teaching and for some junior college positions. We offer this degree on-campus and by distance-learning.

Master of Science

The M.S. degree prepares students to enter a Ph.D. program, to teach at some colleges, and for many positions in business and industry. Most students can complete our non-thesis M.S. program in two years.

Doctor of Philosophy

A Ph.D. is generally required for teaching and research at the university level.
Our Ph.D. program provides a broad training in the common knowledge of mathematics traditionally shared by all mathematics who have a Ph.D. and who are capable of continuing a program of original research. In probability and differential equations, we have expertise that offers the opportunity of including applications, especially in mathematical biology. In combinatorics, our program can prepare for applications in computer science and engineering.

The University of Idaho has strong departments of biology, computer science, and several engineering disciplines that complement our mathematics programs to afford good opportunity for training leading to positions in scientific and industrial enterprises. Several of our faculty and graduate students participate in the University's interdisciplinary Ph.D. program in Bioinformatics and Computational Biology.

Advanced courses offered in:

  • Algebra
  • Algebraic Geometry
  • Number Theory
  • Combinatorics
  • Graph Theory
  • Real and Complex Analysis
  • Functional Analysis
  • Probability
  • Stochastic Models
  • Topology
  • Differentiable Manifolds
  • Mathematical Genetics
  • Mathematical Biology
  • Cryptography
  • Ordinary and Partial Differential Equations