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Statistics is the science of learning from data. The strategies and expertise of statisticians have become of growing relevance and significance in producing trustworthy data, and in analyzing and drawing practical conclusions from data.  Statisticians can also provide crucial guidance in determining what information is reliable and which predictions can be trusted. One advantage of working in statistics is that we can combine our interest with almost any other field in science, technology, or business. Statistics graduates may find work in banking, accounting and other financial services, insurance and pensions, education or social research, civil service and health service, and numerous research councils and consultancies.

Program Options

Bachelor of Science - Statistics

  • B.Sc. Four-year
  • B.Sc. Honours
  • Double Honours in Statistics and a Second Discipline
  • Double Honours in Mathematics and Statistics
  • Minor

Admission Requirements and Deadlines

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What is Statistics?

Statistics is the science of learning from data, and of measuring, controlling, and communicating uncertainty (American Statistical Association). Statistics contributes to the formulation and solution of problems in diverse fields such as Medicine, Economics and the Social Sciences. Many economic, social, political, and military decisions cannot be made without statistical techniques, such as the design of experiments to gain federal approval of a newly manufactured drug (American Statistical Association). 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 fields, including Economics, Physics, Chemistry, Biology, Epidemiology, Geology and Medicine.

Statistics: Is it for you?

  • Students have the opportunity to interact with researchers in Statistics, Mathematics, health and medical sciences, and are introduced to the national and international statistical and 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.

Sample Classes

  • STAT 245: Introduction to Statistical Methods
    An introduction to basic statistical methods including frequency distributions, elementary probability, confidence intervals and tests of significance, analysis of variance, regression and correlation, contingency tables, goodness of fit.
  • STAT 344: Applied Regression Analysis
    Applied regression analysis involving the extensive use of computer software. Includes: linear regression; multiple regression; stepwise methods; residual analysis; robustness considerations; multicollinearity; biased procedures; non-linear regression.
  • 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.

Career Opportunities

Which Industries employ Statisticians?

  • Health and Medicine: Animal Health, Biostatistics, Clinical Trails, Epidemiology, Genetics, Pharmacology, Public Health.
  • Business and Industry: Actuary, Agriculture, Computer Science, Economics, Engineering, Finance, Insurance, Marketing, Quality Improvement, Reliability.
  • Government: Census, Ecology, Environment, Forestry, Government Regulation, Population Research, Risk Assessment, Surveys.

Skill Sets Gained

  • Collecting, analyzing, and interpreting data
  • Understanding statistical ideas for producing data to answer specific questions
  • Drawing conclusions about a population on the basis of sample data and use probability to indicate how reliable the conclusions are
  • Inferring about relationships in realistic settings
  • Communicating the results of data analysis using statistical language
  • Creativity
  • Critical and analytical thinking
  • Organizational/Planning skills
  • Problem-solving skills
  • Research skills and methods
  • Technical skills
  • Data analysis using computer software

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