Master of Science in Mathematics

Students may choose to earn the Master of Science in Mathematics degree with or without an option. There are three options currently available for MS in Mathematics students:

The Master of Science in Mathematics, including the options in Applied and Computational Mathematics, Probability and Statistics, Mathematics for Teachers options, each consist of thirty credit hours approved by the Graduate Curriculum Committee. (The Industrial Mathematics PSM is a 37 credit program, including a required internship and sequence of PMSA seminars.). All options require a four-year undergraduate degree from an accredited college or university with a satisfactory grade point average. 

For the Applied and Computational Mathematics and the Probability and Statistics options, the undergraduate degree must be in mathematics or a related discipline. For the Mathematics for Teachers option, three semesters of calculus (12 credits) are required. Applicants lacking some prerequisites may be accepted as matriculated with conditions. 

Program requirements include both required courses and electives (which may be offered in other departments). Up to six credits at the 400 level may be considered for inclusion in the program of study. In addition, in all options except the Industrial Mathematics Professional Science Master's Option, three or six credits may, with the permission of the student advisor and Graduate Committee, be obtained by completing a thesis. Most courses are offered on a regular basis in the late afternoon and early evening so that all programs can be completed on a part-time basis.

Master of Science in Mathematics ("general option")

The degree requirements for a Master of Science in Mathematics ("general option"") include:
  1. MATH.5090 Probability & Mathematical Statistics
  2. MATH.5010 Real Analysis
  3. MATH.5300 Applied Math 1
The remaining 7 courses (21 credits) are to be chosen from the offerings of the math department in consultation with the student's graduate advisor.

 Applied and Computational Mathematics

The M.S. Option in Applied and Computational Mathematics focuses on techniques of mathematical modeling and the basic tools needed to investigate problems from both a theoretical and computational viewpoint. Courses range from classical applied mathematics and state of the art courses in signal processing to modern applications of software in problem solution.

Degree Requirements: 

  1. MATH.5010 Real Analysis I
  2. MATH.5300 Applied Mathematics I
  3. MATH.5630 Computational Mathematics I
  4. Two of the following "Theory or Analysis" courses (Choose two of the following for 6 credits):
    MATH.5070 Applied Functional Analysis I
    MATH.5110 Complex Variables I
    MATH.5260 Topology
    MATH.5310 Applied Mathematics II
    MATH.5450 Partial Differential Equations
  5. Two of the following "Application" courses (Choose two of the following for 6 Credits):
    MATH.5090 Probability & Mathematical Statistics
    MATH.5500 Mathematical Modeling
    MATH.5630 Computational Mathematics
    MATH.5650 Special Functions
    MATH.5720 Optimization
The remaining 3 courses (total of nine credits) are to be chosen from the offerings of the math department in consultation with the student's graduate advisor.

 Probability and Statistics

This option is a professionally oriented program that provides the necessary mathematical skills to solve many of the data analysis problems of government, industry, science, engineering, and management. Courses range from theory based courses in probability through to applied hands-on course in statistical programming, including a course in the use of SAS statistical software.

Degree Requirements: 

  1. MATH.5010 Real Analysis I
  2. MATH.5090 Probability & Mathematical Statistics
  3. MATH.5880 Mathematical Statistics
  4. Choose one of the following "theory" courses:
    MATH.5840 Stochastic Processes
    MATH.5870 Measure & Probability Theory
    MATH.5920 Multivariate Statistics
  5. Choose one of the following "applied"courses:
    MATH.5900 Statistical Quality Control
    MATH.5910 Linear Statistical Modeling & Regression
    MATH.5930 Experimental Design
The remaining 5 courses (15 credits) are to be chosen from the offerings of the math department in consultation with the student's graduate advisor.

 Mathematics for Teachers

The Master of Science in Mathematics for Teachers Program aims to give students a balanced combination of theory and practice, to enhance their appreciation and understanding of Mathematics as a science, and to provide them with the tools necessary to instill in their own students an interest in the subject. Courses in Mathematical Analysis, Discrete Mathematics, Linear Algebra, Number Theory, Geometry, and Probability and Statistics are designed to introduce the student to several important areas of Mathematics. Courses in Problem Solving, History of Mathematical Science, Mathematical Modeling, and Computers in the Classroom are intended to provide a deeper awareness of the contexts in which mathematical activity takes place and of the mental processes and technological aids employed by people in solving practical problems. Note that this is not a teaching certification program - contact the Graduate School of Education for information about certification.

Required courses:

Industrial Mathematics Professional Science Master's

This program is no longer accepting applications.

Admission Requirements

Incoming students will be expected to have completed the equivalent of an undergraduate degree in mathematics. Applicants with degrees in other sciences or engineering may be admitted if they demonstrate significant background in mathematics.

Degree Requirements - Total Number of Credits: 34

Mathematics Courses (12 credits)


Science Cluster - One cluster of 12 credits from the following.

(Variations on these clusters or different ones can be proposed with the guidance of the student's advisor.)

Algorithms Cluster

Random Processes Cluster

Physics Cluster

Statistics Cluster

Epidemiology/Biostatistics Cluster

  • MATH.5760 Statistical Programming in SAS
  • MATH.5910 Linear Statistics Modeling and Regression
  • PUBH.5750 Introduction to Biostatistics and Epidemiology
  • PUBH.6890 Advanced Regression Modeling

PSM sequence of the Developmental Seminar (0 credit), Internship(zero credit) and Reflective Seminar (1 credit)

Each student must complete an internship lasting a minimum of 350 hours. Before starting the internship, the student must have completed at least 18 credit hours in the program, including 6 credit hours of PLUS coursework, must have completed the course PSMA.5000 Professional Development, and must have a GPA of at least 3.3. In cases where a PSM student is employed in their career field the PSM student will be required to do a PSM project at their place of employment. The student should register for the course PSMA.5100 PSM Internship during the internship period.

In the semester immediately following completion of the PSM Internship (or PSM Project for students employed in their career field) the student is required to take PSMA.5010 Reflective Seminar (1 credit).

Professional Plus Courses (9 credits)

  • MKTG.5450 Professional and Scientific Communication

Plus two-3 additional courses (six credits) from the following list: