The purpose of this program is to prepare students for the application of mathematics in industry and scientific research. Four tracks currently offered: applied analysis, biostatistics, cryptology & information security, and financial mathematics.
A Bachelor's degree in Mathematics (or equivalent coursework) with at least 3.0 GPA (or equivalent), three letters of recommendation documenting the applicant's prior work in mathematics focusing on preparation and suitability for success in graduatelevel mathematics courses,a quantitative general GRE (revised) score of at least 155, computer competency, and approval of the departmental graduate committee. In addition, it is recommended to include scores of the GRE subject test mathematics as part of the application package.
To complete the M.S. degree in Applied Mathematics and Statistics, the candidate must complete at least 30 credit hours of graduate course work, and satisfy the following criteria in addition to University requirements:
1. Earn at least 24 credits in courses specified in a degree track, preapproved by the graduate advisor in mathematics, at least 15 credits of which are at the 6000level (for details, see the graduate advisor)
2. If preapproved by the department graduate committee, up to 12 credits of FAU coursework from outside of the Department of Mathematical Sciences may count toward the degree.
2. Complete one of the following three capstone options below.
For information about the Ph.D., MS, and AMST programs contact:
Prof. Hongwei Long, Graduate Director at mathgraduate@fau.edu
Department of Mathematical Sciences
Florida Atlantic University
777 Glades RD
Boca Raton, FL 33431
Capstone Options 

Thesis  6 credits 
MAT 6971  16 
Masters Thesis (may be taken over multiple terms) 

Internship  6 credits 

Internship in Applied Mathematics 
MAT 6941  16 
NonThesis, Non Internship  6 credits 

Select 6 credits of graduate courses approved by the department and complete M.S. exam 
Applied Analysis  24 credits 

Core  four courses, 12 credits 

Introductory Analysis 1 
MAA 5228 
Linear Algebra 
MAS 5145 
Computational Mathematics 
MAD 6403 OR 
Numerical Analysis 
MAD 6704 
Ordinary Differential Equations 
MAP 6336 OR 
Partial Differential Equations 
MAP 6345 
At least four additional courses, 12 credits  
Introduction to Data Science 
CAP 5768 
Multivariable Analysis 
MAA 5105 
Introductory Analysis 2 
MAA 5229 
Real Analysis 
MAA 6306 
Complex Analysis 1 
MAA 6406 
Introduction to Functional Analysis 
MAA 6506 
Computational Mathematics 
MAD 6403 
Numerical Analysis 
MAD 6407 
Introduction to Dynamical Systems and Chaos 1 
MAP 6211 
Ordinary Differential Equations 
MAP 6336 
Partial Differential Equations 
MAP 6345 
General Topology 1 
MTG 6316 
Regression Analysis 
STA 6236 
Mathematical Statistics 
STA 6326 
Mathematical Probability 
STA 6444 
Applied Time Series Analysis 
STA 6857 
Biostatistics  24 credits 

Core  9 credits 

Biostatistics 
STA 5195 
Mathematical Statistics 
STA 6326 
Mathematical Probability 
STA 6444 
At least five elective courses, 15 credits  
Introduction to Data Science 
CAP 5768 
Data Mining and Machine Learning 
CAP 6673 
Multivariable Analysis 
MAA 5105 
Numerical Analysis 
MAD 6407 
Linear Algebra 
MAS 5145 
Statistical Computing 
STA 6106 
Survival Analysis 
STA 6177 
Biostatistics  Longitudinal Data Analysis 
STA 6197 
Applied Statistical Methods 
STA 6207 
Regression Analysis 
STA 6236 
Topics in Probability and Statistics (Stochastic Calculus) 
STA 6446 
Applied Time Series 
STA 6857 
Cryptology Track  24 credits 

Core  9 credits 

Introduction to Cryptology and Information Security  MAD 5474 
Crypto Analysis  MAD 6478 
Coding Theory  MAD 6607 
Select three courses (9 credits)  
Introductory Abstract Algebra 1  MAS 5311 
Introductory Abstract Algebra 2  MAS 5312 
Introductory Analysis 1  MAA 5228 
Introductory Analysis 2  MAA 5229 
Mathematical Probability  STA 6444 
Mathematical Statistics  STA 6326 
At Least Two Elective Courses  
Elliptic Curves  MAT 6933 
Algebraic Curves  MAS 6315 
Group Theory  MAS 6396 
Cryptography  MAD 6477 
Algebraic Number Theory  MAS 6215 
Mathematical Probability  STA 6444 
Mathematical Statistics  STA 6326 
Linear Algebra  MAS 5145 
Randomized Algorithms  COT 6446 
Analysis of Algorithm  COT 6405 
Secret Sharing Protocols  COT 6427 
Computer Networks  CNT 5008 
Information Theory  EEL 6532 
Computer Data Security  CIS 6370 
Computational Group Theory  MAT 6933 
Computational Mathematics  MAD 6403 
Commutative Algebra  MAS 6333 
Topics in Algebra  MAS 6396 
Enumerative Combinatorics  MAD 6206 
Graph Theory  MAD 6307 
Distributed Systems Security  CIS 6375 
Cyber Security: Measurement and Data Analysis  CTS 6319 
Financial Mathematics  24 credits 

Six Required Courses 

Introductory Analysis 1  MAA 5228 
Mathematical Statistics  STA 6326 
Mathematical Probability  STA 6444 
Applied Time Series Analysis  STA 6857 
Financial Mathematics 1  STA 6907 
Topics in Probability and Statistics (Stochastic Calculus)  STA 6446 
At Least Two Electives 

Regression Analysis  STA 6236 
Financial Mathematics 2  STA 6907 
Financial Management  FIN 6406 
Financial Markets  FIN 6236 
Portfolio Theory  FIN 6525 
Applied Statistical Methods  STA 6207 
Topics in Stochastic Processes  STA 6446 
Statistical Computing  STA 6106 
Introductory Analysis 2  MAA 5229 
Multivariable Analysis  MAA 5105 
Linear Algebra  MAS 5145 
Machine Learning and Data Mining  CAP 6673 
* As with all degree programs, the authoritative source for the degree requirements is the University Catalog that was in effect for the academic year in which the student entered the University. The information on this page does not supersede the Catalog.