MSc students are required to complete a minimum of six credit units of elective courses. The elective courses must be appropriate to the student's research and will be chosen in consultation with student's advisory committee. Examples of potential elective courses are provided below:
CHEP 801.3 - Epidemiology II - Advanced epidemiologic theory and methods. Advanced techniques will be applied to a series of epidemiologic problems from the fields of communicable and non-communicable disease.
CHEP 803.3 - Health Promotion - An introduction to health promotion practice, theory, and research. Topics include: power and empowerment, change in individuals, small group development, community development, healthy public policy, coalition-building and advocacy, linking research and action.
CHEP 804.3 - Community Health Issues - Overview of the field of community health, including health determinants, health status, health care organization, health information systems, and specific health topics, such as native health, maternal and child health issues, and cardiovascular and cancer diseases.
CHEP 806.3 - Applied Statistical Methods for Follow-Up Data - Statistical methods for longitudinal data analysis based on generalized estimating equations and maximum likelihood theories, and survival analysis methods for follow-up studies will be covered. This course focuses on the application of these statistical methods using SPSS and SAS on life science data.
CMPT 830.3 - Bioinformatics and Computational Biology - Provides an in-depth algorithms-based introduction to major concepts and techniques in bioinformatics. Topics include algorithms for structure prediction and similarity, sequence similarity and alignment, metabolic and regulatory pathways, sequence assembly, comparative genomics, expression analysis, database searching, artificial life and biological computation.
CMPT 858.3 - Topics in Modeling and Operations Research - In-depth coverage of recent research areas from operations research, and applications to system modeling. Advanced topics from mathematical programming, queuing theory, inventory control, simulation, Markov modeling, and simulation.
PUBH 867.3 - Health Care Policy and Politics - Deals with program and service planning for health care at the institutional, community, regional and provincial, national and international levels. The course takes a macro approach to broad health policy and planning goals and follows these policies through to the level of institutional implementation. Policy analysis is an important component and much class time is spent analysing real life policy documents.
PSY 807.3 - Multivariate Statistics - The course objective is for graduate students to gain some knowledge of and experience with using multivariate statistics that are frequently used by psychologists dealing with non-experimental or quasi-experimental data. The course will cover multiple regression, factor analysis, multivariate analysis of variance, and structural equation modeling.
STAT 834.3 - Advanced Experimental Design - Review of the linear model; Randomization theory; Randomized blocks and Latin Squares; Factorial treatment structure; Calculus of factors; Incomplete block designs; Fractional factorials; Response surface designs; Optimal designs.
STAT 842.3 - Stochastic Processes - Stochastic processes and random functions. Random walks, Markov property, and Martingales. Stationary processes and ergodic theorems. Invariance principles and strong approximation.
STAT 847.3 - Special Topics in Probability and Statistics - Topics will be related to recent developments in statistics and probability (multivariate statistics, time series, experimental design, non-parametric statistics, etc.) of interest to the instructor and students.
STAT 848.3 - Multivariate Data Analysis - A survey of methods for analyzing discrete and continuous multivariate data, Includes; log-linear models, logistic regression, canonical correlation, discriminant analysis, cluster analysis, MANOVA, factor analysis.
STAT 851.3 - Linear Models - A rigorous development of the general linear model using vector space theory. Topics to be covered include generalized inverses, orthogonal projections, quadratic forms, Gauss-Markov theorem, and estimability. Students may not receive credit for both STAT 443 and STAT 851.
VLAC 881.3 - Clinical Trial Design and Analysis - A course for veterinary graduate students who need an understanding of clinical trial design, statistics and clinical epidemiology in order to carry out their research and to evaluate themselves as clinicians. The course will cover areas of clinical trial design, applied medical statistics, diagnostic test evaluation and writing research grants.
VTMC 832.3 - Epizootiology of Infectious Disease - Lectures, seminars and exercises will be given on the epizootiology and control of infectious diseases of animal populations, with emphasis given to: techniques of collection of data and sampling; application of modern microbiological laboratory methods; analysis of data; and interpretation of results, as applied to epizootiological investigations.