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Texas A&M University
Mathematics

Masters degree: Financial Track

Non-Thesis option

  1. Requires a minimum of 36 credit hours, at least 18 of which must be in mathematics.
  2. There must be a 16 credit hours core of mathematics courses* including:
    • Each of the following:
      • MATH 609 (Numerical Analysis) or MATH 610 (Numerical Methods in Partial Differential Equations)
      • MATH 628 (Mathematics of Finance)
    • At least one of the following:
      • MATH 606 (Probability I)
      • STAT 614 (Statistical Applications in Probability)
      • MATH 619 (Applied Probability)
    • At least one of the following:
      • MATH 607 (Real Variables I)
      • MATH 611 (Introduction to Ordinary and Partial Differential Equations)
      • MATH 612 (Partial Differential Equations)
      • MATH 617 (Theory of Functions of a Complex Variable I)
      • MATH 625 (Stochastic Differential Equations)
      • MATH 639 (Iterative Techniques)
      • MATH 647 (Mathematical Modeling)
      • MATH 651 (Optimization)
      • MATH 658 (Applied Harmonic Analysis)
  3. There must be a minimum of 12 credit hours of computer science, finance, and statistics, including:
    • At least one of the following:
      • CSCE 602 (Object-oriented programming, development and software engineering)
      • CSCE 606 (Software engineering)
      • CSCE 608 (Database systems)
    • At least one of the following:
      • FINC 632 (Investment Management)
      • FINC 663 (Trading and Markets)
      • FINC 665 (Derivative Securities)
    • At least two of the following:
      • STAT 608 (Regression Analysis)
      • STAT 610 (Theory of Statistics - Distribution Theory)
      • STAT 611 (Theory of Statistics - Inference)
      • STAT 612 (Theory of Linear Models)
      • STAT 613 (Advanced Theory of Statistical Inference)
      • STAT 614 (Statistical Applications in Probability)
      • STAT 615 (Stochastic Processes)
      • STAT 621 (Advanced Stochastic Processes)
      • STAT 626 (Methods in Time Series Analysis)
      • STAT 631 (Statistical Methods in Finance)
  4. Some additional suggested electives are listed below:
    • ECON 607 (Foundations of Microeconomic Theory)
    • ECON 629 (Microeconomic Theory I)
    • ECON 630 (Microeconomic Theory II)
    • ECMT 660 (Mathematical Economics I)
    • ECMT 669 (Fundamental Mathematics for Economists)
    • ECMT 675 (Econometrics I)
    • ECMT 676 (Econometrics II)
    • ISEN 620 (Survey of Optimization)
    • ISEN 622 (Linear Programming)
    • ISEN 623 (Nonlinear and Dynamic Programming)
    • ISEN 625 (Simlation Methods and Applications)
    • ISEN 637 (Stochastic Dynamic Programming)

  5. Students are strongly encouraged to utilize the Professional Internship Course, MATH 684, as a math elective. Up to 4 hours of internship can be listed on a non-thesis degree plan. The Graduate Program Office and the campus Career Center will help students indentify suitable internship opportunities.

*Substitions for core courses may be allowed in special cases but require approval of the Graduate Office.