# Masters degree: Financial Track

## Non-Thesis option

- Requires a minimum of 36 credit hours, at least 18 of which must be in mathematics.
- 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)

- Each of the following:
- 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)

- At least one of the following:
- 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)

- 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.