Graduate

Course Offerings

You may find a list of graduate courses offered by the Department of Mathematics & Statistics in the  or the . The can be used to find the current and upcoming schedule of courses. For your convenience when planning your degree, we have collected direct links to these courses, along with anticipated terms of offering below. 

Mathematics Graduate Courses

Introduction to Real Analysis spring each year
Real Analysis I fall each year
Real Analysis II spring each year
Applied Complex Variables spring even years
Complex Analysis I fall each year

Complex Analysis II

spring

 each year
Functional Analysis I fall odd years
Functional Analysis II spring even years
Applied Cryptography
(only for cybersecurity graduate programs)		 fall
spring		 each year
Graph Theory I fall even years
Graph Theory II spring odd years
Combinatorics I fall  odd years
Combinatorics II spring even years
Algorithms in Discrete Structures spring even years
Algebraic Automata Theory spring odd years
Abstract Structures fall odd years
Teaching College Mathematics spring each year
Ordinary Differential Equations I fall odd years
Ordinary Differential Equations II spring even years
Applied Partial Differential Equations spring odd years
Partial Differential Equations fall odd years
Methods of Applied Mathematics fall even years
Dynamical Systems I fall even years
Dynamical Systems II spring odd years
Control Theory and Optimization spring even years
Harmonic Analysis fall even years
Special Functions    
Advanced Linear Algebra fall each year
Number Theory    
Algebra I fall each year
Algebra II spring each year
Applied Algebra fall each year
Algebraic Number Theory spring each year
Scientific Computation and Writing fall each year
Differential Geometry    
Differential Geometry II    
Topology I fall each year
Topology II spring each year

Statistics Graduate Courses

Statistical Methods I fall each year
Statistical Methods II spring each year
Mathematical Statistics I fall each year
MAT 5932 Mathematical Statistics II spring each year
Probability Theory I fall each year
Probability Theory II spring each year
Non-Parametric Statistics spring each year
Stochastic Processes spring even years
Linear Statistical Models fall each year
Multivariate Analysis fall each year
Time Series Analysis fall each year
Design of Experiments spring even years
Reliability Data Analysis spring odd years
Statistical Learning Theory and Applications spring odd years

Common Variable Graduate Courses

Selected Topics
Selected Topics
Independent Study (♦)
Directed Research (♦)
Graduate Seminar (♦)
Thesis: Master’s (♦)
Directed Research (♦)
Dissertation: Doctoral (♦)

(♦) Visit our Forms page to download the course permit form required for registration.