Master of Science in Applied Mathematics and Statistics

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.

Admission Requirements

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 graduate-level 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.

Degree Requirements

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, pre-approved by the graduate advisor in mathematics, at least 15 credits of which are at the 6000-level   (for details, see the graduate advisor)

2. If pre-approved 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.

  • Successfully complete and defend a master's thesis, earning at least 6 credits of MAT 6971 (Master's Thesis).
  • Successfully complete and report on an Industrial Internship, earning at least 6 credits.
  • Successfully complete a Master’s examination.

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

Degree Tracks
Click here to view catalog

Capstone Options

   

Thesis - 6 credits                                                          

MAT 6971     1-6

Masters Thesis (may be taken over multiple terms)

   

Internship - 6 credits

   

Internship in Applied Mathematics                                  

MAT 6941     1-6

Non-Thesis, Non Internship - 6 credits

   

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

   

Track Options

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.