Office of the Registrar
School of Graduate Studies (2009/2010)
20.19 Mathematics and Statistics
  • Professor and Head of the Department
  • C. Radford

The degrees of Master of Applied Statistics (see appropriate calendar entry), Master of Science and Doctor of Philosophy are offered in the Department of Mathematics and Statistics. The Masters' degrees are offered by full-time and part-time studies.

20.19.1 Specific Requirements for the M.Sc. in Mathematics

Every candidate for the M.Sc. in Mathematics is required to complete one of two options.

  1. Option 1: Math 6299 and at least 15 credit hours in graduate courses, at most 3 of which may be from seminar courses (excluding 696 A/B) and at least 9 of which must be from courses selected from the list below with at least 3 credit hours in each of three of the indicated subject areas. A thesis is required as per General Regulations, Theses and Reports.

  2. Option 2: At least 23 credit hours in graduate courses, including Math 696A/B, Math 6299, and at least 9 credit hours in courses selected from the list below with at least 3 credit hours in each of three of the indicated subject areas. Remaining course selections to satisfy the total credit hour requirement for this option may be chosen from the departmental course offerings, excluding seminar courses.

20.19.2 Specific Requirements for the M.Sc. in Statistics

Every candidate for the M.Sc. in Statistics is required to take at least 18 credit hours in graduate courses, at most 3 credit hours of which may be from seminar courses. A thesis is required.

Table of Credit Restrictions for Present Mathematics Courses with Former Mathematics Courses

(Credit may be obtained for only one course from each of the pairs listed in this table.)

Present Course

Former Course

Present Course

Former Course

6323

6030

6212

6080

6321

6032

6310

6130

6322

6035

6330

6200

6340

6040

6331

6210

6341

6041

6332

6350

6342

6042

6312

6500

Courses

A selection of the following graduate courses will be offered to meet the requirements of candidates, as far as the resources of the Department will allow:

  • Mathematics
  • 6100 Dynamical Systems
  • 6101 Modern Perturbation Theory
  • 6102-6119 Special Topics in Applied Mathematics
  • 6104 Infinite Dimensional Dynamical Systems
  • 6120 Theoretical Fluid Dynamics
  • 6121 Functional Differential Equations
  • 6130 Introduction to General Relativity
  • 6160 Partial Differential Equations
  • 6201 Numerical Methods for Partial Differential Equations
  • 6202-6209 Special Topics in Numerical Analysis
  • 6210 Numerical Solution of Differential Equations (for Computational Science students only - required core course)
  • 6212 Numerical Methods for Initial Value Problems
  • 6299 Master's Project
  • 6300 Algebraic Topology I (Homology Theory)
  • 6301 Algebraic Topology II (Homotopy Theory)
  • 6302 Algebraic Topology III (Theory of Fibre Bundles)
  • 6304-6309 Special Topics in Topology
  • 6310 Functional Analysis
  • 6311 Complex Analysis
  • 6312 Measure Theory
  • 6313-6319 Special Topics in Analysis
  • 6320 Group Theory
  • 6321 Ring Theory
  • 6322 Nonassociative Algebra
  • 6323 Homological Algebra
  • 6324-6329 Special Topics in Algebra
  • 6330 Analytic Number Theory
  • 6331 Algebraic Number Theory
  • 6332 Point Set Topology
  • 6340 Graph Theory
  • 6341 Combinatorial Design Theory
  • 6342 Advanced Enumeration
  • 6343-6349 Special Topics in Combinatorics
  • 6351 Advanced Linear Algebra
  • 6910 Topology Seminar
  • 6940 Analysis Seminar
  • 6950 Algebra Seminar
  • 696A/B Graduate Seminar (2 credit hours)
  • Statistics
  • 6503 Stochastic Processes
  • 6505 Survival Analysis
  • 6510 Mathematical Statistics
  • 6520 Linear Models
  • 6530 Generalized Linear Longitudinal Mixed Models
  • 6540 Time Series Analysis
  • 6545 Statistical Computing
  • 6550 Nonparametric Statistics
  • 6560 Continuous Multivariate Analysis
  • 6561 Categorical Data Analysis
  • 6570-6589 Selected Topics in Statistics and Probability
  • 6590 A Course in Statistical Consulting
  • 6930 Statistics Seminar