Program start date | Application deadline |
2024-05-01 | - |
2024-09-01 | - |
2024-02-01 | - |
2024-06-01 | - |
2024-08-01 | - |
2024-01-01 | - |
2024-03-01 | - |
2024-07-01 | - |
2024-10-01 | - |
2024-12-01 | - |
Program Overview
The University of Manitoba's Mathematics (MSc) program offers advanced education in mathematics, preparing students for doctoral studies or enhancing their expertise for careers in research, data analysis, teaching, and more. The program provides a solid foundation in core mathematical areas, specialized advanced courses, and research skills through collaborations and seminars. Students can choose between a thesis-based or coursework-based route, both leading to a Master of Science in Mathematics.
Program Outline
Degree Overview:
Program Overview:
The University of Manitoba's Mathematics (MSc) program provides advanced education in mathematics to prepare students for doctoral studies or enhance their expertise for various careers.
Objectives:
- Provide a solid foundation in core mathematical areas
- Offer specialized advanced courses
- Equip students with research skills through collaborations and seminars
- Enhance students' mathematical knowledge and confidence through active student groups and outreach opportunities
Program Description:
- The program offers two options: a thesis-based route and a coursework-based route leading to a Master of Science in Mathematics.
- Thesis-based program:
- Requires 15 hours of coursework, with at least nine credit hours at the 7000-level
- Six credit hours of coursework in a different area from the chosen specialization
- Completion of a thesis
- Presentation in an approved seminar series
- Coursework-based program:
- Requires 24 hours of coursework at the 3000/7000/8000-level (maximum of six hours at the 3000-level)
- Six credit hours of coursework in a different area from the chosen specialization
- Minimum GPA of 3.25
- Presentation in an approved seminar series
Careers:
Career Opportunities:
The Mathematics (MSc) program can lead to various career opportunities, including:
- Research and development in academia and industry
- Data analysis and modeling in financial, technological, and scientific fields
- Teaching mathematics at the high school and post-secondary levels
- Actuarial science
- Quantitative finance
- Consulting in areas such as operations research, statistics, and computing