University Catalog 2024-2025

Financial Mathematics (MR)

Master of Financial Mathematics Degree Requirements

Core Courses26
Options and Derivatives Pricing
Fundamentals of Statistical Inference I
Capital Investment Economic Analysis
Career Development for Quants
Stochastic Calculus for Finance
Fundamentals of Statistical Inference II
Monte Carlo Methods for Financial Math
Seminar in Financial Mathematics 1
Computational Methods in Economics and Finance
Summer Internship/Project Course1
Select one summer semester requirement of the following:
Internship in Financial Mathematics
Project in Financial Mathematics
Elective Courses9
See "Elective Courses" listed below
Total Hours36
1

Students need to take FIM 601 (1 credit) in their second and third semesters for a total of 2 credits


Elective Courses

Select at least three courses listed below:9
Risk Management Track
FIM/MA 549Financial Risk Analysis3
ISE 519Database Applications in Industrial and Systems Engineering3
MBA 518Enterprise Risk Management3
MBA 521Advanced Corporate Finance3
Data Science for Finance Track
ISE 519Database Applications in Industrial and Systems Engineering3
ST 503Fundamentals of Linear Models and Regression3
ST 516Experimental Statistics For Engineers II3
ST 540Applied Bayesian Analysis3
ST 590Special Topics (Applied Time Series)1-6
ST 562Data Mining with SAS Enterprise Miner 3
ST 555Statistical Programming I3
Portfolio Management Track
OR/MA 504Introduction to Mathematical Programming3
OR/ISE 505Linear Programming3
OR 506Algorithmic Methods in Nonlinear Programming3
MBA 523Investment Theory and Practice3
MBA 524Equity Valuation3
MA 531Dynamic Systems and Multivariable Control I3
ISE 519Database Applications in Industrial and Systems Engineering3
Actuarial Science Track
ECG 701Microeconomics I3
ECG 702Microeconomics II3
ECG/ST 750Introduction to Econometric Methods3
ECG/ST 751Econometric Methods3
ECG/ST 752Time Series Econometrics3
ECG/ST 753Microeconometrics3
MA/ST 747Probability and Stochastic Processes II3
MBA 518Enterprise Risk Management3
PhD Preparation Track
OR/ISE 505Linear Programming3
ECG/ST 751Econometric Methods3
ECG/ST 752Time Series Econometrics3
MA 523Linear Transformations and Matrix Theory3
MA 540Uncertainty Quantification for Physical and Biological Models3
MA/ST 546Probability and Stochastic Processes I3
ST 7303
ST 740Bayesian Inference and Analysis3
MA 791Special Topics In Real Analysis (Functional Analysis)1-6
Other
CSC 505Design and Analysis Of Algorithms3
CSC 522Automated Learning and Data Analysis3
CSC 540Database Management Concepts and Systems3
CSC 541Advanced Data Structures3
CSC/MA 580Numerical Analysis I3
CSC/MA 583Introduction to Parallel Computing3
ISE 712Bayesian Decision Analysis For Engineers and Managers3
MBA 515Enterprise Resource Planning Systems3
MBA 526International Finance3
MA 515Analysis I3
MA 520Linear Algebra3
MA 532Ordinary Differential Equations I3
MA 534Introduction To Partial Differential Equations3
MA 544Computer Experiments In Mathematical Probability3
MA 555Introduction to Manifold Theory3
MA/BMA 573Mathematical Modeling of Physical and Biological Processes I3
MA/BMA 574Mathematical Modeling of Physical and Biological Processes II3
MA 584Numerical Solution of Partial Differential Equations--Finite Difference Methods3
MA 587Numerical Solution of Partial Differential Equations--Finite Element Method3
MA 715Measure Theory and Integration3
MA 723Theory of Matrices and Applications3
MA/ST 746Introduction To Stochastic Processes3
MA/ST 748Stochastic Differential Equations3
OR/ISE 501Introduction to Operations Research3
OR/MA 504Introduction to Mathematical Programming3
OR/E/MA 531Dynamic Systems and Multivariable Control I3
OR/MA 719Vector Space Methods in System Optimization3
OR/ISE 772Advanced Stochastic Simulation3
OR/BMA/MA/ST 773Stochastic Modeling3
ST 505Applied Nonparametric Statistics3
ST 512Statistical Methods For Researchers II 3
ST 556Statistical Programming II3
ST 563Introduction to Statistical Learning3

Accelerated Bachelor's/Master's Degree Requirements

The Accelerated Bachelors/Master’s (ABM) degree program allows exceptional undergraduate students at NC State an opportunity to complete the requirements for both the Bachelor’s and Master’s degrees at an accelerated pace. These undergraduate students may double count up to 12 credits and obtain a non-thesis Master’s degree in the same field within 12 months of completing the Bachelor’s degree, or obtain a thesis-based Master’s degree in the same field within 18 months of completing the Bachelor’s degree.

This degree program also provides an opportunity for the Directors of Graduate Programs (DGPs) at NC State to recruit rising juniors in their major to their graduate programs. However, permission to pursue an ABM degree program does not guarantee admission to the Graduate School. Admission is contingent on meeting eligibility requirements at the time of entering the graduate program.

Full Professors

  • David Dickey
  • Paul Fackler
  • Sujit Ghosh
  • Kazufumi Ito
  • Negash Medhin
  • Tao Pang
  • Tom Vukina
  • Mark Walker
  • Richard Warr

Associate Professors

  • Min Kang
  • Andrew Papanicolaou
  • Denis Pelletier
  • Charlie Smith

Assistant Professors

  • Ilze Kalnina
  • Yerkin Kitapbayev
  • Dominykas Norgilas

Practice/Research/Teaching Professors

  • Wei Chen
  • Richard Ellson
  • Jeffrey High
  • Ram Valluru

Emeritus Faculty

  • Richard Bernhard
  • Peter Bloomfield
  • Jeffrey Scroggs
  • John Seater
  • Jim Wilson