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 Analysis I and II are first-year courses that introduce students to statistical analysis and its applications. These courses include elements of probability, statistical inference (hypothesis testing and confidence intervals) on one and two samples, analysis of variance, contingency tables, and regression analysis.

Statistical Computing I is a second-year course that provides students with computing skills for statistical analysis of data typically arising in data sciences such as health and medical research, as well as in business.  Students gain experience in data manipulation, data management, and data visualization via graphical techniques using a statistical package (e.g. R) and learn programming skills for efficient use of each of this software package.

Statistics for Epidemiology focuses on the design and statistical analysis of data typically gathered from epidemiological studies. Epidemiologists are concerned with identifying risk factors for diseases.  In practice, epidemiological data presents statistical challenges, such as predicting the disease status of members of a population from a set of risk factors. Students will learn to analyze epidemiological data using statistical software such as R.

• Business and Management Statistics
• Survey Sampling I and II
• Applied Regression Analysis
• Time Series & Forecasting
• Statistical Learning
• Survival Analysis

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.