Statistics: Data Science

Data scientists are in high demand, earn high salaries, and have satisfying careers.  A wide range of career options exist in medicine, business, government, public health, and marketing.

Graduates apply their expertise in data science to biostatistics, medicine, government, Cancer Care, agricultural research, health care research, quality control, and actuarial work. They work with specialists such as economists, biologists, chemists, and doctors to assist in the design of experiments and sampling plans, and the analysis of research data. Most data scientists find employment with private corporations or government departments and agencies. Statistics Canada representatives visit our campus regularly looking for statistics and data scientist graduates to fill highly desirable jobs.

Statistical Computing II is a third-year course on advanced statistical computing using R software. Students learn about Bayesian inference, Monte Carlo methods and Markov Chain Monte Carlo methods.

Applied Regression Analysis is a third-year course on linear and non-linear regression modelling. In regression, a response variable is related to a set of explanatory variables and as such it is an integral part of statistical data analysis with wide-ranging application. Students build real data regression models using statistical software such as R or SAS and learn to analyze and understand the fitted models.

Statistical Learning is a fourth-year course where students learn about advanced regression modelling techniques such as LASSO and ridge regression. They learn about parametric and nonparametric methods along with ensemble learning, clustering and dimension reduction. Students write reports on the implementation of statistical learning methods for real-world data examples.

• Business and Management Statistics
• Survey Sampling I and II
• Applied Regression Analysis
• Time Series & Forecasting
• Applied Multivariate Methods
• Analysis of Variance and Covariance

STAT-1301(3) Statistical Analysis I and STAT-1302(3) Statistical Analysis II OR
STAT-1501(3) Elementary Biological Statistics I and STAT-2001(3) Elementary Biological Statistics II OR
STAT-1401(3) Statistical Analysis I for Business and Economics
MATH-1103 (3) Introduction to Calculus I and MATH-1104(3) Introduction to Calculus II
MATH-1201(3) Linear Algebra I
RHET-1103(3) Academic Writing: Science or any other section of Academic Writing (if required)
12 – 15 credit hours Electives

NOTE: This sample first year is representative of the courses you may take. For many of our programs, you may choose another set of courses and still be well on your way to a degree. Also, for most programs you do not have to take 30 credit hours (five full courses) in your first year.