The MS in Financial Mathematics is a two-year degree involving coursework from the Mathematics, Statistics, Economics, Finance, and Computer Science Departments. A summer internship experience is encouraged.

It is possible to switch from MS track to PhD track in quantitative finance in the Department of Mathematics at the Florida State University. Such a track change requires the following:

- Take courses in the Quantitative Finance PhD preparation track
- Pass the quilfier exams over the courses in the PhD preparation track that are marked by within the first two years of your studies
- Choose a major professor and prepare for a candidacy exam

These requirements are the same as those in the PhD page under Advancement to PhD Candidacy.

The financial aid for the students who switch the track from MS to PhD is sunject to the availability of such funds at the time of switching.

All four tracks require 33 letter graded hours (11 courses) plus 2 S/U graded Proseminar hours, including the following required Common Core courses:

- MAP 5601 Introduction to Financial Mathematics, 3 hrs, Spring
- MAP 6621 Financial Engineering I, 3 hrs, Fall
- MAP 5615 Monte Carlo Methods in Financial Mathematics, 3 hrs, Spring
- MAT 5939r Financial Mathematics Proseminar, one hour in Fall of First Year and one hours in Fall of second year.

- Common Core Courses: PhD prepratin and terminal MS tracks
- STA 6346, Advanced Probability and Inference I, 3 hrs each, Fall
- MAA 5616, Measure and Integration I, 3 hrs, Spring
- MAD5403-4 Foundations of Computational Math, I-II, 3 hrs each, Fall and Spring
- MAA56XX Stochastic Analysis, 3 hrs, Fall
- MAA56XX Financial Engineering II, 3 hrs, Fall

** Suggested schedule for PhD students**

1st Fall | 1st Spring | Summer | 2nd Fall | 2nd Spring |

MAP5601 Introduction to Financial Mathematics | MAP6621 Financial Engineering I | elective approved internship | Elective | Elective |

STA 6346 Advanced Probability and Inference I | MAA5616 Measure and Integration I | MAA56XX Stochastic Analysis | Elective | |

MAD5403 Foundations of Computational Math, I | MAD5404 Foundations of Computational Math, II | Elective | MAP5615 Monte Carlo in Financial Math | |

MAT5939 Financial Math Proseminar | MAT5939 Financial Math Proseminar |

= PhD qualifier course

- Common Core Courses: PhD prepratin and terminal MS tracks
- STA5326 Distribution theory and Inference or STA 6346 Advanced Probability and Inference I, 3 hrs, Fall
- ISC 5305 Scientific Programming, 3 hrs, Fall
- MAD 5403 Foundations of Computational Mathematics I, Fall or MAP5611 Introduction to Computational Finance, Spring, 3 hrs

**Suggested schedule for MS students.**

1st Fall | 1st Spring | Summer | 2nd Fall | 2nd Spring |

MAP5601 Introduction to Financial Mathematics | MAP6621 Financial Engineering I | Elective approved internship | Elective | Elective |

ISC 5305 Scientific Programming | MAP5611 Introduction to Computational Finance | Elective | MAP5615 Monte Carlo in Financial Math | |

STA5326 Distribution Theory and Inference or STA 6346 Advanced Probability and Inference I | Elective | Elective | Elective | |

MAT5939 Financial Math Proseminar | MAT5939 Financial Math Proseminar |

- STA5326 Distribution theory, Fall, 3 hrs
- MAP5611 Introduction to Computational Finance, 3 hrs, Fall
- MAT 5970 Financial Mathematics for Actuaries, 3 hrs, Fall
- MAP 5932 Short Term Actuarial Math I and MAT5932 Short-Term Actuarial Models II, 3 hrs each, Spring and Fall
- MAP 5177 Long-Term Actuarial Models I and MAP 5178 Long-Term Actuarial Models II, 3 hrs each, Fall and Spring
- STA 5325 Mathematical Statistics, 3 hrs, Spring
- STA 5207 Applied Regression Methods, 3 hrs, Fall
- STA 5856 Time Series and Forecasting Methods, 3 hrs, Spring

- Actuarial P-Seminar, 1 hrs, Fall
- Actuarial FM-Seminar, 1 hrs, Spring
- MAT 5939 Financial Mathematics Proseminar, 1 hrs, Fall

Suggested schedule for the Actuarial Science Track prepares the students for Actuarial exams P, FM, IFM, SRM, STAM, LTAM, and PA.

1st Fall | 1st Spring | Summer | 2nd Fall | 2nd Spring |

STA5326 Distribution theory and Inference | STA 5325 Mathematical Statistics | Elective approved internship | STA 5207 Applied Regression Methods | STA 5856 Time Series and Forecasting Methods |

MAP5601 Introduction to Financial Mathematics | MAP6621 Financial Engineering I | MAP 5177 Long-Term Actuarial Models I | MAP 5178 Long-Term Actuarial Models II | |

MAT 5970 Financial Mathematics for Actuaries | MAP 5932 Short Term Actuarial Math I | MAP 5932 Short Term Actuarial Math II | Elective | |

MAT 5939 Financial Math Proseminar | MAT 5939 Financial Math Proseminar | |||

Actuarial P-Seminar | Actuarial FM-Seminar | |

Consult the Coordinator of the Financial Math MS program if you want to take a course that is not announced or listed here. ( = Qualifier courses)

Number | Title | Term | Area | |
---|---|---|---|---|

MAA 5616 | Measure & Integration I | Spring | Analysis | |

MAA 5617 | Measure & Integration II | Fall | Analysis | |

MAA 6416 | Topics in Stochastic Calculus | Spring - Odd years | Analysis | |

MAP 5207 | Optimization | Spring | Analysis | |

MAD 5403 | Foundations of Computational Mathematics I | Fall | Computational Mathematics | |

MAD 5404 | Foundations of Computational Mathematics II | Spring | Computational Mathematics | |

MAD 5738 | Numerical PDE | Fall | Computational Mathematics | |

MAD 5420 | Numerical Optimization | Fall | Computational Mathematics | |

MAD 5932 | Numerical Linear Algebra | Fall | Computational Mathematics | |

MAP 5345 | Elementary PDE I | Fall | Differential Equations | |

MAP 5346 | Elementary PDE II | Spring | Differential Equations | |

MAP 5932 | Stochastic Differential Equations | Fall | Differential Equations | |

MAP 6XXX | Financial Engineering II | Fall | Financial Mathematics | |

MAT 5945r | Internship in Financial Mathematics | Summer | Internship & Seminar | |

MAP 6939 | Research Seminar in Financial Mathematics | F / S | Internship & Seminar |

Number | Title | Term | Department | |
---|---|---|---|---|

CAP 5638 | Pattern Recognition | F / S | Computer Science | |

ISC 5318 | High Performance Computing | Fall | Computer Science | |

ECO 5204 | Macroeconomic Theory I | Fall | Economics | |

ECO 5281 | Financial Economics I | Spring | Economics | |

ECO 5282 | Financial Economics II | Fall | Economics | |

ECO 5715 | International Finance | Fall | Economics | |

ECO 5416 | Econometrics I | various | Economics | |

ECO 5423 | Econometrics II | various - but not also STA 5167 | Economics | |

ECO 5408 | Computational Economics I | Fall | Economics | |

ECO 5428 | Time Series Analysis | Summer | Economics | |

FIN 5515 | Investment Management and Analysis | Fall | Finance | |

FIN 5935 | Financial Derivatives and Risk Management | Spring | Finance | |

STA 5167 | Statistics in Applications II | Spring | Statistics | |

STA 5721 | High Dimensional Statistics | Spring | Statistics | |

STA 5066 | Data Management and Analysis with SAS I | Fall | Statistics | |

STA 5067 | Data Management and Analysis with SAS II | Spring | Statistics | |

STA 5207 | Applied Regression Methods | Fall | Statistics | |

STA 5327 | Statistical Inference | Spring | Statistics | |

STA 5635 | Applied Machine Learning | Fall | Statistics | |

STA 5807 | Topics in Stochastic Processes | Fall | Statistics | |

STA 5856 | Time Series and Forecasting Methods | Spring | Statistics |

Last Revised 1/11/2019