off-campus site through a satellite campus or regional partner.
Learn how to
predict patterns of societal behaviours, understand stock markets and build
models of national economies. Discover the aesthetics of pure reasoning, the
elegance of a clever argument, and the art of conjecture. Statistics graduates help
solve problems in fields such as Medicine, Economics, Engineering and the
Statistics is a branch of Mathematics that includes the study of methods for data collection, analysis, and interpretation, and principles of experimental design. Mathematics and statistics contributes to the formulation and solution of problems in diverse fields such as Medicine, Economics and the Social Sciences. It is also the foundation of the field of Computer Science and the “language” of Science and Engineering.
Our graduates are recruited by employers for their logical reasoning and efficient problem solving skills. They are also well-positioned to pursue further studies in various other subjects, including Economics, Physics, Chemistry, Biology, Geology and Medicine.
- Students have the opportunity to interact with researchers in Mathematics and Statistics and are introduced to the national and international mathematical science community.
- The Department participates annually in undergraduate mathematical competitions that develop skills and expose students to situations with no classroom counterpart.
- Upper year classes have excellent student-professor ratios; this allows for direct interaction and creates an excellent learning environment.
- The Department of Mathematics & Statistics also offers scholarships and awards for top students
- Many Honours students, while completing their degree, are able to find summer employment in the Department of Mathematics & Statistics as research assistants or as markers or tutorial assistants.
- STAT 241: Probability Theory
Laws of probability, discrete and continuous random variables and their distributions, moments, functions of random variables and their distributions, Central Limit Theorem.
- STAT 349: Time Series Analysis
An introduction to statistical time series analysis. Includes: trend analysis, seasonal variation, stationary and non-stationary time series models, serial correlation, forecasting and regression analysis of time series data.
- STAT 442: Statistical Inference
Parametric estimation, maximum likelihood estimators, unbiased estimators, UMVUE, confidence intervals and regions, tests of hypotheses, Neyman Pearson Lemma, generalized likelihood ratio tests, chi-square tests, Bayes estimators.
- Research Analyst
- Sports Analyst
- Transportation Designer
- Transportation Designer
- Collecting, analyzing, and interpreting data
- Critical and analytical thinking
- Organizational/Planning skills
- Problem-solving skills
- Research skills and methods
- Technical skills