Curriculum for Master of Science degree and PhD initial coursework
This page describes curriculum options for MS students and PhD students in their first two years of study.
The MS in Financial Mathematics is a twoyear degree involving coursework from the Mathematics, Statistics, and Scientific Computing Departments, and available electives from Economics, Finance, and Computer Science. A summer internship experience is encouraged.
The PhD in Financial Mathematics normally begins with two years of coursework outlined here. See the PhD page for more details about that degree.
See below for some sample course schedules.
There are four track options within the twoyear MS program:

Financial Mathematics, Quantitative Finance PhD track
This track is intended for those admitted to the PhD program, and prepares PhD intenders for further study. (more)

Financial Mathematics, Quantitative Finance MS track
This track gives a general mathematical background for work in the financial industry, for students intending to
complete their studies with the MS degree. (more)

Financial Mathematics, Actuarial Science track
The actuarial science track focuses on preparation for an Actuarial career. (more) Qualified MS students in this track are eligible for special Actuarial Teaching Assistantships. See the support page.

Financial Mathematics, Data Science track
The data science track focuses on preparation for a career in the financial/tech industry with an emphasis on the skills in data science. (more)
All four tracks require 33 letter graded hours (11 courses) plus 2 S/U graded Proseminar hours, including the following required Common Core courses:
Common Core Courses
 MAP 5601 Introduction to Financial Mathematics, 3 hrs, Fall
 MAP 6621 Financial Engineering I, 3 hrs, Spring
 MAP 5615 Monte Carlo Methods in Financial Mathematics, 3 hrs, Spring
 MAT 5939r Financial Mathematics Proseminar, 1 hour in Fall and Spring, for a total of 2 hours.
Financial Mathematics, Quantitative Finance PhD track
To complete the degree, students take the Common Core courses above, plus the following courses,
 MAD 54034 Foundations of Computational Math, III, 3 hrs each, Fall and Spring
 STA 6346, Advanced Probability and Inference I, 3 hrs, Fall
 MAA 5616, Measure and Integration I, 3 hrs, Fall
 MAP 5932 Stochastic Analysis, 3 hrs, Spring
and four additional approved elective courses.
Financial Mathematics, Quantitative Finance MS track
To complete the degree, students take the Common Core courses above, plus the following courses:
 MAP5611 Intro to Computational Finance, Spring, 3 hrs
 ISC 5305 Scientific Programming, 3 hrs, Fall
 STA5326 Distribution theory and Inference or
STA 6346 Advanced Probability and Inference I, 3 hrs, Fall
and five or six additional approved elective courses.
Financial Mathematics, Actuarial Science track
Applicants should indicate an interest in this track at the time of the application. Students in this track will take
MAP 5601 Introduction to Financial Mathematics and MAT 5939r Financial Mathematics Proseminar from the common core, plus the following courses:
(Appropriate adjustments will be made for students who have passed an Actuarial Science exam.)
 MAT 5907 Financial Mathematics for Actuaries, 3 hrs, Fall
 MAP 5932 Short Term Actuarial Math I, 3 hrs, Spring
 MAT5932 ShortTerm Actuarial Models II, 3 hrs, Fall
 MAP 5177 LongTerm Actuarial Models I, 3 hrs, Fall
 MAP 5178 LongTerm Actuarial Models II, 3 hrs, 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
plus two additional
seminars from the following list:
 Actuarial PSeminar, 1 hrs, Fall
 Actuarial FMSeminar, 1 hrs, Spring
 MAT 5939 Financial Mathematics
Proseminar, 1 hrs, Fall
(See the page on actuarial science after a bachelor's degree for other options in actuarial science at FSU.)
Financial Mathematics, Data Science track
To complete the degree, students take the Common Core courses above, plus the following courses:
 CIS 5930 Introduction to Data Science, 3 hrs, Fall
 CAP 5771 Data Mining, 3 hrs, Spring
 STA 5635 Machine Learning or CAP 5638 Pattern Recognition, 3 hrs,
Spring
and five or six additional approved elective courses.
See the Elective Options page for a list of approved electives for the MS degree.
Sample Schedules
= PhD qualifier course; = Elective course option
Schedule A: A typical schedule for the PhD track.
1st Fall 
1st Spring 
Summer 
2nd Fall 
2nd Spring 
MAP5601 Introduction to Financial Mathematics 
MAP6621 Financial Engineering I 
elective approved internship 
MAP6xxx Financial Engineering II, or Elective 
MAP5615 Monte Carlo in Financial Math 
STA 6346 Advanced Probability and Inference I 
Elective 

MAA5616 Measure and Integration I 
MAP5932 Stochastic Analysis 
MAD5403 Foundations of Computational Math, I 
MAD5404 Foundations of Computational Math, II 

Elective 
Elective 
MAT5939 Financial Math Proseminar 
MAT5939 Financial Math Proseminar 



Schedule B: A typical schedule for the Quantitative Finance MS track.
1st Fall 
1st Spring 
Summer 
2nd Fall 
2nd Spring 
MAP5601 Introduction to Financial Mathematics 
MAP6621 Financial Engineering I 
Elective approved internship 
Elective 
MAP5615 Monte Carlo in Financial Math 
ISC 5305 Scientific Programming 
MAP5611 Introduction to Computational Finance 

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

Elective 
(Elective) 
MAT5939 Financial Math Proseminar 
MAT5939 Financial Math Proseminar 



Schedule C: A typical schedule for the Actuarial Science Track.
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 
Elective 

MAP 5177 LongTerm Actuarial Models I 
MAP 5178 LongTerm Actuarial Models II 
MAT 5907 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 PSeminar 
Actuarial FMSeminar 



Schedule D: A typical schedule for the Data Science track.
1st Fall 
1st Spring 
Summer 
2nd Fall 
2nd Spring 
STA5326 Distribution theory and Inference or STA 6346 Advanced Probability and Inference I 
MAP6621 Financial Engineering I 
Elective approved internship 
STA 5207 Applied Regression Methods 
STA 5635 Machine Learning or CAP 5638 Pattern Recognition 
MAP5601 Introduction to Financial Mathematics 
MAP5611 Introduction to Computational Finance 

Elective 
MAP5615 Monte Carlo in Financial Math 
CIS 5930 Introduction to Data Science 
CAP 5771 Data Mining 

Elective 
(Elective) 
MAT5939 Financial Math Proseminar 
MAT5939 Financial Math Proseminar 



Last Revised 9/5/2024