The degree of Master of Applied Statistics (M.A.S.) is a highly structured programme incorporating 18 credit hours in programme 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 programme, 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 programme of further undergraduate courses. Such a programme is intended to provide the candidate with an adequate statistical background. Such courses may not be used to fulfill the programme course requirements of the Master of Applied Statistics degree.

4. Admission to the programme 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 programme of study and a proposed supervisor.

**B) PROGRAMME 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, Special 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 programme 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:

6030. Homological Algebra

6031. Categorical Algebra

6032. Rings and Modules

6033. Associative Rings and Algebras

6034. Representation Theory

6035. Non-Associative Algebra

6036-39. Selected Topics in Algebra

6040. Graph Theory

6041. Combinatorial Design Theory

6042. Advanced Enumeration

6080. Numerical Analysis

6110. Differential Geometry I

6111. Differential Geometry II

6130. Functional Analysis I

6131. Functional Analysis II (Operator Theory)

6132. Functional Analysis III (Selected Topics)

6200. Analytic Number Theory I

6201. Analytic Number Theory II

6210. Special Topics: Algebraic Number Theory I

6211. Special Topics: Algebraic Number Theory II

6300. Algebraic Topology I (Homology Theory)

6301. Algebraic Topology II (Homotopy Theory)

6302. Algebraic Topology III (Theory of Fibre Bundles)

6303-09. Special Topics in Algebraic Topology

6350. Point Set Topology I

6351. Point Set Topology II (Dimension Theory)

6352. Point Set Topology III (Frame Theory)

6400. Differential Topology

6500. Measure Theory I (Vector Measure)

6501. Measure Theory II (Vector Integration)

6502. Measure Theory III (Selected Topics)

6503. Stochastic Processes

6510. Mathematical Statistics

6520. Linear Models

6560. Continuous Multivariate Analysis

6561. Discrete Multivariate Analysis

6580-6589. Selected Topics in Statistics

6590. A Course in Statistical Consulting

6700-6709. Selected Topics in Analysis

**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

Last modified on October 8, 1997 by MaryJane Puxley