M.S. in Mathematics

Expanding Skills in Mathematical Analysis and Techniques

The emphasis of this program is on mathematical analysis and techniques.  It stresses training in a broad array of mathematical areas including real and functional analysis, and applied and computational mathematics.   The requirements for this degree allow students to prepare for entry into the Ph.D. program in (applied) mathematics or for employment in teaching, business, industry, or government.  Many graduate students earn this degree along the way to earning their Ph.D. in our doctoral program.


Plan of Study

The student must meet the Office of Graduate Education requirements and follow a plan of study acceptable to this office and the Department of Mathematical Sciences.


The plan of study should represent a reasonably broad program in mathematics and must contain:

  • at least four graduate- (6000) level courses of 4 credits each, of which at least two must have numbers in the range MATH 6000 to MATH 6390.
  • at least four courses coded MATH or MATP of 4 credits each.

Each student must participate in a Capstone Professional Experience (see below).

Capstone Professional Experience

Each Master’s student must participate in a Capstone Professional Experience, by registering for and completing one of the following alternatives:

  • a Master’s Project in Mathematics, MATH 6980;
  • a Master’s Practicum, MATH 6970, such as a graduate cooperative internship.

For a Practicum, A department faculty member must approve a student’s plans in advance and must certify its satisfactory completion. This experience may, but need not, be arranged for (up to six) academic credits. A paid teaching position does not fulfill this requirement. You should ask the Graduate Student Coordinator for the form needed for the proposal and completion of a Master’s Practicum.

The program catalog can be found here.

Resources frequently used by graduate students in Mathematics can be found here.

Program Outcome

Students who successfully complete this program will be able to:

  • Demonstrate mastery of graduate-level courses in mathematics covering a range of topics, including mathematical analysis, mathematical methods and modeling, computational mathematics, and operations research.
  • Demonstrate mastery of graduate-level courses in at least one area outside of mathematics.

Academic Opportunities

Designed to promote a broad range of problem-solving skills, including mathematical modeling and analysis, scientific computation, and critical assessment of solutions.

Academic awards for graduate students who demonstrated outstanding ability in his or her academic work.

SIAM exists to ensure the strongest interactions between mathematics and other scientific and technological communities through membership activities, publication of journals and books, and conferences.