Department of

Mathematical Sciences

Tenure-track position at the

Assistant Professor level in the area

of algebra, starting in August 2018.

Algebra (Position description)

Tenure-track position at the

Assistant Professor level in the area

of topological data analysis, starting

in August 2018.

Topological Data Analysis (Position description)

Apply Here

**Studie Entwicklungsstand Quantencomputer**

PI: Rainer Steinwandt

Funding Agency: Saarland University (GER)

German Federal Office for Information Security

**Linking Within-Host and Between-Host Infectious Disease Dynamics**

PI: Necibe Tuncer

Funding Agency: National Science Foundation

**Emerging Side-Channel Resistant and Resource-Friendly Elliptic Curve Algorithms and Architectures **

PI: Reza Azarderakhsh/Co-PI: Koray Karabina

Funding Agency: US Army

Dr. Tim Ford, has written a new

textbook entitles, Separable Algebra.

Due to be published on October 20, 2017,

this book presents a comprehensive

introduction to the theory of separable

algebras over commutative rings.

Azumaya algebras, the henselization of

local rings, and Galois theory are

rigorously introduced and treated.

Essential connections are drawn

between the theory of separable

algebras and Morita theory, the theory

of faithfully flat descent, cohomology,

derivations, differentials, reflexive lattices,

maximal orders, and class groups.

http://bookstore.ams.org/gsm-183/

Subject-wise empirical likelihood

inference in partial linear models

for longitudinal data

Lianfen Qian, Suojin Wang

Computational Statistics & Data Analysis

Sandor Nagydobai Kiss, Paul Yiu

Forum Geometricorum

Connecting Orbits for Compact Infinite

Dimensional Maps: Computer Assisted

Proofs of Existence

R. de la Llave, J.D. Mireles James

SIAM Journal on Applied Dynamical Systems

The purpose of this program is to prepare students for the application of mathematics in industry and scientific research. The three tracks currently offered in the program are 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 .

Click here for detailed application steps:**
application information.**

**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.

[3] Complete a capstone project with the following three options:

- 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.

**DEGREE TRACKS:**

**Six Required Courses:**

- STA 6444 Mathematical Probability
- STA 6326 Mathematical Statistics
- STA 6208 Regression Analysis
- STA 6857 Applied Time Series Analysis
- STA 5195 Biostatistics
- STA 6177 Survival Analysis

**At Least Two Elective Courses:**

- STA 6197 Biostatistics - Longitudinal Data Analysis
- STA 6206 Statistical Methods for Environmental Sciences
- STA 6207 Applied Statistical Methods
- STA 6446 Topics in Probability and Statistics
- STA 6707 Analysis of Multivariate Data
- STA 5225 Survey Sampling
- STA 6505 Analysis of Categorical Data
- STA 6106 Statistical Computing
- CAP 6673 Machine Learning and Data Mining

**Three courses from:**

- MAS 5311 Introductory Abstract Algebra 1
- MAS 5312 Introductory Abstract Algebra 2
- MAA 5228 Introductory Analysis 1
- MAA 5229 Introductory Analysis 2
- STA 6444 Mathematical Probability
- STA 6326 Mathematical Statistics

**Three required:**

- MAD 5474 Introduction to Cryptology and Information Security
- MAD 6478 Cryptanalysis
- MAD 6607 Coding Theory

**At Least Two Elective Courses**:

- MAT 6933 Elliptic Curves
- MAT 6396 Algebraic Curves
- MAT 6396 Group Theory
- MAD 6477 Cryptography
- MAS 6215 Algebraic Number Theory
- STA 6444 Mathematical Probability
- STA 6326 Mathematical Statistics
- MAS 5145 Linear Algebra
- COT 5930 Randomized Algorithm
- COT 6405 Analysis of Algorithms
- CNT 5008 Computer Network
- EEL 6532 Information Theory
- CIS 6370 Computer Data Security
- MAT 6933 Computational Group Theory
- MAT 6933 Computational Math
- MAT 6396 Commutative Algebra
- MAD 6206 Enumerative Combinatorics
- MAD 6207 Combinatorics 2
- MAD 6307 Graph Theory
- CIS 6375 ‐ Distributed Systems Security
- CIS 6370 ‐ Computer Data Security
- COT 6116 ‐ Secret Sharing Protocols

**Six Required Courses: **

- MAA 5228 Introductory Analysis 1
- STA 6444 Mathematical Probability
- STA 6326 Mathematical Statistics
- STA 6857 Applied Time Series
- STA 6907 Financial Mathematics 1
- STA 6446 Stochastic Calculus

**At least Two Elective Courses:**

- STA 6208 Regression Analysis
- STA 6908 Financial Mathematics 2
- FIN 6406 Financial Management
- FIN 6246 Financial Markets
- FIN 6525 Portfolio Theory
- STA 6207 Applied Statistical Methods
- STA 6446 Topics in Stochastic Processes
- STA 6106 Statistical Comp
- STA 6909 Numerical Methods in Finance
- MAA 5229 Introductory Analysis 2
- MAS 5145 -- Linear Algebra
- MAA 5105 -- Multivariable Analysis
- CAP 6673 Machine Learning and Data Mining

* 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.

**For information about the PHD, MS, and AMST programs contact:**

Prof. Yuan Wang, Graduate Director

Department of Mathematical Sciences

Florida Atlantic University

777 Glades RD

Boca Raton, FL 33431