The required credit and non-credit courses for the MSc degree in the collaborative Biostatistics Program are:
CHEP 800.3 - Epidemiology I - Introduces the basic epidemiologic methods used to evaluate the distribution and determinants of disease. The course includes both lectures and interactive seminars to provide students with practical experience in epidemiologic problem-solving. Examples will be drawn from the fields of both communicable and non-communicable disease. It is recommended that this course be taken in year 1, term 1 of a student’s program of studies.
STAT 850.3 - Mathematical Statistics and Inference - An overview of mathematical methods used in theoretical statistics with particular emphasis on inference. This course will cover general probability distributions, generating functions, limit theorems, likelihood concepts, exponential families, decision theory, Bayesian and frequentist paradigms for estimation and testing, and asymptotic theory.
PUBH 842.3 - Current Biostatistical Methods and Computer Applications - This course will introduce statistical methods commonly used by biostatisticians and their application in current research problems. The emphasis will be on the analysis of discrete outcomes and time-to-event data in observational and experimental designs. Class participants will develop skills in applying statistical models using existing software packages such as SAS and R.
BIOS 990.0 - Seminar in Biostatistics - The seminar in Biostatistics is a required non-credit course for all MSc and PhD students.
GSR 960.0 - Introduction to Ethics and Integrity - Is a required course for all first year graduate students at the University of Saskatchewan. The purpose of this course is to discuss ethical issues that graduate students may face during their time at the University. All students will complete modules dealing with integrity and scholarship, graduate student-supervisor relationships, conflict of interest, conflict resolution and intellectual property and credit.
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