Overview of Statistics
Statistics is motivated by the need to extract information from data, to quantify uncertainty, and to make predictions about random phenomena. To do this effectively, sophisticated mathematical and probabilistic techniques and computational tools are needed. Core areas of expertise include Bayesian inference, biostatistics, computational statistics, high-dimensional data modeling, multivariate analysis, and survival analysis.
Programs
To pursue this program, you MUST consult with the Math/Stats department and a BCom Advisor. Taking certain statistics courses in non-sequence order may overlap with others and you may not receive credits for all courses completed.
Careers & Mentors
Mentor: djivede.kelome [at] mcgill.ca (Professor Kelome), Department of Mathematics and Statistics, Faculty of Science
With a degree in Statistics, you’ll develop unique knowledge in calculating, analyzing, and presenting information. You can follow private or public sector paths, or continue the course in the graduate studies.
You could become a professional:
- Mathematician
- Market Research Analyst
- Financial Analyst
- Operations Research Analyst
