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Master’s Degree and PhD Programs

Mathematics and Statistics (MSc, PhD)

Mathematics and Statistics are the bedrock of problem-solving and effective information processing. These disciplines foster critical thinking skills, equipping individuals with the tools needed to navigate the complexities of our modern world. Mathematics, often hailed as the universal language, transcends cultural and linguistic boundaries. It offers a unique lens through which we can explore and comprehend the intricacies of our universe, from the behavior of subatomic particles to the vastness of cosmic phenomena.

In this program, students are held to a high standard, with a minimum requirement of a 75 percent average in their Bachelor of Science within the same subject area. This rigorous criterion ensures that participants possess a solid foundation before embarking on their graduate journey.

Professionals from a diverse array of fields may find value in pursuing this program. It not only broadens their career horizons but also enhances their expertise, enabling them to tackle real-world challenges with a sophisticated mathematical and statistical toolkit. Similarly, educators can leverage graduate-level studies to enrich their educational practices and open doors to advanced career opportunities.

For those harboring aspirations of pursuing a Ph.D. program, a thesis-based master's degree represents a pivotal stepping stone. This educational pathway involves delving into original research within their specific field of study. The research conducted during the master's program becomes an integral part of their Ph.D. studies, shaping their expertise and contributing to the broader body of knowledge in their chosen discipline. It's a journey of intellectual growth and exploration, preparing individuals for careers in academia, research, and innovation.

What Do Mathematicians and Statisticians Do?

Mathematicians and statisticians are engaged in various fields, including research, policy development, finance, business, and higher education, on a global scale.

Areas of Study

Actuarial Mathematics

Acquire a comprehensive understanding of key areas such as Risk Assessment and Management, Pricing and Reserving, Financial Product Development, and Data Analysis.

Algebra, Discrete Mathematics, and Number Theory

Study mathematical symbols, expressions, and equations, as well as explore the properties and relationships of integers and other types of numbers.


Study functions and spaces of functions, as well as linear transformations between them.

Geometry and Topology

Focuses on the study of shapes, sizes, properties of figures, and the relationships between them, as well as on the study of the fundamental structure of spaces and their intrinsic properties.

Statistics and Probability Studies

Learn how to use analytical techniques to examine and understand random phenomena and outcomes in various fields, including the social and natural sciences

Mathematics and Statistics Mathematics and Statistics


Program: Master of Science (MSc) in Mathematics (Thesis) Master of Science (MSc) in Mathematics (Course-based) Master of Science (MSc) in Statistics (Thesis) Master of Science (MSc) in Statistics (Course-based) PhD in Mathematics after MSc PhD in Statistics after MSc
Length: Master’s Degree: 2 years Doctorate: 4-5 years
Offered Through: University of Regina
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Why Study Mathematics and Statistics at the University of Regina?

Pursuing a course-based master's degree in mathematics or statistics can provide a boost to one's career prospects. Most of our NSERC-funded and research-active faculty members regularly supervise graduate students and teach courses in these programs.

Mathematics and Statistics Frequently Asked Questions

What degree do I need to qualify for the Mathematics and Statistics graduate program?

You must hold a four-year undergraduate degree in science in Mathematics or Statistics. Some courses have undergraduate prerequisites. Students who have not completed these prerequisites can still be admitted to the program with the understanding that they will be expected to complete these prerequisites prior to taking the corresponding Mathematics and Statistics courses.

What are some of the courses that Mathematics and Statistics students take?

Math 813 Functional Analysis

Banach spaces, Banach algebras, and operator theory.

Math 820 Introduction to Commutative Algebra

A first graduate course in commutative algebra. Topics include prime and maximal ideals, radicals, Nakayama's Lemma, exact sequences, tensor products, localization, Noetherian and Artinian rings and selected additional topics.

Math 831 Differential Geometry

Differentiable manifolds, the tangent bundle, differential forms, and the general Stokes’ theorem.

Math 841 Topology

Separability of spaces, paracompactness, metrization theorems, function spaces.

Stat 851 Probability

Probability measures; distribution functions; sequences of random variables; characteristic functions; modes of convergence; convergence theorems; weak and strong laws of large numbers; Central Limit Theorem.

Stat 852 Statistical Inference

Detailed theoretical development of statistical inference; statistical models; exponential families; sufficiency; completeness; properties of point estimation; testing hypothesis and confidence regions; asymptotic properties of estimators.

Students also have many opportunities to take reading classes. A reading class is a course where a student works one-on-one with a professor to learn either a very specialized topic or some new research results.

Our students are all able to take the on-line courses offered by PIMS (Pacific Institute for the Mathematical Sciences) to the universities in their network.

What are the areas of expertise of faculty members?

We have a variety of classes in the different areas of expertise of our faculty members. Here are some representative classes:

  • Math 816 Introduction to Quantum Information Theory
  • 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
Do you offer scholarships?

Yes! Once you have been accepted as a fully-qualified graduate student with no conditions or holds on your admission, then you are eligible to apply for our scholarships, awards, or graduate teaching assistant positions.

NSERC scholarships are available to students enrolled in our program. Additionally, we frequently provide teaching assistantships to eligible students, and some senior students even have the opportunity to teach classes.

Faculty of Science Graduate Funding

  • Paul W. Riegert Memorial Scholarship in Graduate Studies
  • Gerhard Herzberg Fellowship
  • Saskatchewan Innovation and Excellence Graduate Scholarship

Apply for these scholarships, and more, by visiting our Graduate Awards Portal (GAP), the U of R online graduate scholarship application system.

All Graduate Funding Opportunities

Visit our Graduate Awards Portal (GAP) to learn about all graduate funding opportunities including:

  • National Scholarships (including Tri Council funding)
  • Awards to Study Abroad
  • FGSR Funding/Special Awards
  • Funding for Indigenous Students
  • Funding for International Students
  • Other Awards and Scholarships
  • External Scholarship Opportunities
  • External Student and Faculty Awards

Program Concepts and Goals

University of Regina Mathematics and Statistics graduate programs prepare you for a wide range of prominent employment opportunities. Explore the relationship between math and stats in the theoretical and natural worlds.


Graduates of the programs are trained in advanced mathematical and statistical concepts to analyze complex problems and provide innovative solutions.


Students benefit from opportunities to engage with professors and participate in research groups.


You’ll be prepared for prominent mathematical and statistical jobs in a variety of industries and organizations.

What Can You Do With a Mathematics and Statistics Degree?

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. Overall, graduates of the Master’s or PhD programs in the Department of Mathematics and Statistics at the University of Regina have a wide range of career options available to them, both within and outside of academia, including:

  • Research
  • Higher education
  • Statistical analysis
  • Data sciences
  • Actuarial science
  • Risk management
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