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Mathematics Fast Track Program LEARN MORE

Program Requirements

The program requires a total of 30 credit hours. All students in their first and second semester are required to take 5 courses (15 credit hours) as indicated below. Students must select 3-5 more courses at 500-level or above (15 credit hours) from the courses listed below with options in Applied or Traditional Mathematics. Traditional electives pair well for students who are interested in pure mathematics. The applied mathematics electives are focused on preparing students for careers in data science and data analytics, actuarial science and other industrial mathematics applications.  Students planning to continue in the Ph.D. program should take the 600-level versions of the required courses. 

Students can choose to substitute 6 credit hours of elective courses by MA 699 thesis research. Modifications are possible with the approval of your graduate committee and the master program director. For more information, please, contact the master program director Dr. Roman Shterenberg at This email address is being protected from spambots. You need JavaScript enabled to view it..

Required Courses

MA 540: Advanced Calculus I or MA 640: Mathematical Analysis I.

MA 541: Advanced Calculus II or MA 641: Mathematical Analysis II.

MA 534: Algebra I: Linear or MA 631: Linear Algebra.

MA 568: Numerical Analysis I or MA 660: Numerical Linear Algebra.

MA 585: Introduction to Probability.


Elective Courses (choose 5)

  • Traditional/Pure Math Electives

    MA 554: Intermediate Differential Equations

    MA 569: Numerical Analysis II

    MA 544: Vector Analysis

    MA 545: Complex Analysis

    MA 555: Partial Differential Equations I

    MA 586: Mathematical Statistics

    MA 572: Geometry I

    MA 588/688: Advanced Statistics MA 535: Algebra II: Modern

    MA 587/687: Advanced Probability MA 670: Topology I

    MA 637: Graph Theory and Combinatorics MA 642: Calculus of Several Variables

    MA 650: Differential Equations

    MA 648: Complex Analysis

  • Applied Mathematics Electives

    MA 586: Mathematical Statistics

    MA 569: Numerical Analysis II

    MA 588/688: Advanced Statistics

    MA 566: Introduction to Optimization

    MA 589: Machine Learning and Big Data Analysis

    MA 560: Scientific Programming

    MA 584: Mathematical Finance

    MA 554: Intermediate Differential Equations MA 555: Partial Differential Equations I

    MA 545: Complex Analysis

    MA 587/687: Advanced Probability


Learn more about the Master's Program curriculum.