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M.S. in Applied Mathematics with a Specialization in Industrial Mathematics

The Industrial Mathematics specialization is designed to train students for a broad range of careers in business, finance, and industry that rely on quantitative models of data. The program stresses skills including mathematical modeling, advanced computation, probability, and statistics. Typical examples of the type of problems students will be prepared to address include evaluating the performance of a business call center, or determining if an insurance company has sufficient reserves and premiums to settle claims.  In addition, students learn aspects of actuarial science, writing and communication skills, along with project management skills necessary for the job market.

Required to satisfy all four of the following course options:

  • Math 540 Probability OR Math 475 Probability
  • Math 522 Mathematical Modeling
  • Sci 511 Project Management OR Sci 522 Public Engagement for Scientists
  • Math 523 Case Studies and Project Design in AMAT OR Math 592 Internship

Required to complete a project for 3-5 credit hours through:

  • Math 594 Professional Master’s Project

Remaining Elective courses to be chosen in consultation with the academic advisor, or from the following list or any unused core/ required courses listed above:

  • Math 461 Fourier Series and Boundary-Value Problems OR Math 489 Partial Differential Equations
  • Math 481 Introduction to Stochastic Processes
  • Math 485 Introduction to Mathematical Finance Math 535 Optimization I
  • Math 553 Discrete Applied Math I
  • Math 542 Stochastic Processes
  • Math 546 Introduction to Time Series
  • Math 564 Applied Statistics
  • Math 565 Monte Carlo Methods in Finance
  • Math 574 Bayesian Computational Statistics
  • Math 578 Computational Mathematics II

 

Plans of Study

Here we present a few plans of study for the various options in the MS program. Note that Math 593, a required course, is not listed below under the plans of study as it is a zero credit course offered every semester.

A Sample Course Sequence for the Specialization in Industrial Mathematics with Project:

Fall - Year 1

Math 475 or Math 540
Math 522
Sci 511 or Sci 522



3 credit hours
3 credit hours
3 credit hours

Spring - Year 1

Elective or Math 563
Elective from list
Elective from list


3 credit hours

3 credit hours
3 credit hours

Summer - Year 1

Math 523


5 credit hours

Fall - Year 2

Math 577
Math 594 Project

3 credit hours
3 credit hours
Total  32 credit hours