Program Overview
The MSc and PhD programs in Mathematics and Statistics at the University of Regina provide advanced mathematical and statistical knowledge for analyzing complex problems. Taught by research-active faculty, the program emphasizes critical thinking and offers research opportunities. Graduates pursue careers in academia, government, industry, and other fields requiring strong mathematics and statistics skills.
Program Outline
Degree Overview:
The Master of Science (MSc) and PhD programs in Mathematics and Statistics at the University of Regina are designed to equip students with advanced mathematical and statistical concepts to analyze complex problems and provide innovative solutions. The program emphasizes critical thinking skills and equips individuals with the tools needed to navigate the complexities of the modern world. The program is rigorous, requiring a minimum of a 75 percent average in a Bachelor of Science in the same subject area. It is suitable for professionals from diverse fields who seek to broaden their career horizons and enhance their expertise. The program also serves as a stepping stone for those aspiring to pursue a PhD, involving original research within their specific field of study.
Teaching:
The program is taught by NSERC-funded and research-active faculty members who regularly supervise graduate students and teach courses. Students benefit from opportunities to engage with professors and participate in research groups. The department fosters a culture of collaboration, with extensive interaction among researchers. Students frequently co-author papers with faculty and have their work published.
Careers:
Graduates of the program can pursue careers as professors, hold positions in prominent government and private sector organizations, or conduct research in industries such as finance, actuarial science, or computing. The skills and knowledge gained through advanced study in Mathematics and Statistics can also prepare graduates for positions in other fields, such as engineering, physics, or computer science.
Other:
The program offers a variety of courses in different areas of expertise, including:
- Math 813 Functional Analysis
- Math 820 Introduction to Commutative Algebra
- Math 831 Differential Geometry
- Math 841 Topology
- Stat 851 Probability
- Stat 852 Statistical Inference
- Math 818 Introduction to Lie Algebras and Representation Theory
- Math 826 Combinatorial Matrix Theory
- Math 838 Associative Algebras, Groups, and Representation Theory
- Stat 819 Advanced Applications of Fourier Analysis in Life Sciences
- Stat 856 Stochastic Processes
- Stat 858 Statistical Modeling of Dependence and Extremes The department also hosts a variety of outreach activities that students can volunteer with, including:
- The Math Circle
- Mathematics Enrichment Camp
- Canadian Math Kangaroo Contest The department offers scholarships, awards, and graduate teaching assistant positions to eligible students. NSERC scholarships are also available.
