The degree of Master of Applied Statistics (M.A.S.) is a highly structured program incorporating 18 credit hours in program courses and a practicum in applied statistics. The degree is offered in the Department of Mathematics and Statistics by full-time or part-time study.
A) QUALIFICATIONS FOR ADMISSION
SEMINAR COURSES IN MATHEMATICS AND STATISTICS
1. Admission is limited and competitive. To be considered for admission to the Master of Applied Statistics program, an applicant shall normally hold at least a high second class Honours degree or its equivalent, both in achievement and depth of study, from an institution recognized by the Senate.
2. In addition, an applicant shall normally have completed undergraduate courses in statistics which cover the material of Statistics 3521, 3530, 4510, 4520, 4560, 4561, 4590, 4591. If necessary, an applicant may be required to demonstrate a satisfactory knowledge of the above courses in an examination administered by the Department of Mathematics and Statistics.
3. Applicants who do not meet these requirements should consult the Department of Mathematics and Statistics about a program of further undergraduate courses. Such a program is intended to provide the candidate with an adequate statistical background. Such courses may not be used to fulfill the program course requirements of the Master of Applied Statistics degree.
4. Admission to the program shall be upon acceptance by the Dean of Graduate Studies after recommendation by the Head
of the Department of Mathematics and Statistics along with a proposed program of study and a proposed supervisor.
B) PROGRAM OF STUDY
The minimum requirements for the degree of Master of Applied Statistics are completion of the following or their equivalent:
i. The 12 credit hours in core courses:
- 6510. Mathematical Statistics
- 6520. Linear Models
- 6560. Continuous Multivariate Analysis
- 6561. Discrete Multivariate Analysis
ii. Six credit hours in applied statistics:
a) 6590, A Course in Statistical Consulting, and
b) A course from 6580-6589, Selected Topics in Statistics
iii. Practicum: An applied statistics project and an associated report. The purpose of the project is to provide the student
with the practical experience in the application of statistics to another discipline. The report for the project must
demonstrate a satisfactory general mastery of statistical knowledge. Prerequisite: At least 9 credit hours in courses listed in
B(i) and B(ii); Computer Science 2602 and Statistics 4590 or their equivalent.
C) EVALUATION
1. In order to continue in graduate studies and in order to qualify for a Master's degree, a candidate shall obtain an A or B for program courses and complete successfully the practicum requirement.
2. Statistics 6590 will be evaluated by the course co-ordinator in consultation with associated statistical consultants.
3. The practicum will be evaluated by an Examining Committee composed of a fully appointed member of the faculty of the Department of Mathematics and Statistics as Chair, the student's supervisor and a third person external to the Department. The Examining Committee shall be appointed by the Dean of Graduate Studies on recommendation by the Head of the Department of Mathematics and Statistics.
NOTE: Every candidate in graduate studies shall comply with the General Regulations, the degree regulations and any
additional requirements of the Department of Mathematics and Statistics.
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:
6100. Dynamical Systems
6101. Modern Perturbation Theory
6102-6109. Special Topics in Applied Mathematics
6212. Numerical Methods for Initial Value Problems
6201. Numerical Methods for Partial Differential Equations
6202-6209. Special Topics in Numerical Analysis
6300. Algebraic Topology I (Homology Theory)
6301. Algebraic Topology II (Homotopy Theory)
6302. Algebraic Topology III (Theory of Fibre Bundles)
6332. Point Set Topology
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
6340. Graph Theory
6341. Combinatorial Design Theory
6342. Advanced Enumeration
6343-6349. Special Topics in Combinatorics
6503. Stochastic Processes
6510. Mathematical Statistics
6520. Linear Models
6560. Continuous Multivariate Analysis
6561. Discrete Multivariate Analysis
6580-6589. Selected Topics in Statistics and Probability
6590. A Course in Statistical Consulting
SEMINAR COURSES IN MATHEMATICS AND STATISTICS
Seminar courses in the following areas are the most frequently offered:
6910. Topology
6930. Statistics
6940. Pure and Applied Analysis
6950. Algebra
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