Mathematics and Statistics
Mathematics is one of the oldest sciences. Although there are many applications of mathematics, the subject seeks to resolve questions whose answers will deepen our understanding of, and reveal new insights into, mathematics itself. The inherent structure and elegance of mathematics are features of the subject that are difficult to surpass in other sciences.
Mathematics also differs from other disciplines in that its advances come through the application of pure reason (by way of the human mind) rather than through observation (by way of scientific instrumentation). Consequently, mathematics builds upon its past achievements and develops independently of technological advancements.
Statistics is a datadriven science about how numbers help us understand the world, predict future events, and analyze information.
At the U of R, you can take one of eight bachelor’s degree programs in mathematics and statistics as well as a certificate:
Bachelor of Science in Mathematics
In this program, you will learn to be proficient in the uses of mathematics, especially calculus, matrix algebra, and differential equations. You will also be exposed to statistics, computer science, and higher level mathematical reasoning in the form of mathematical proof. Courses in number theory, abstract algebra, and optimization can be taken as part of this program.
Bachelor of Science Honours in Mathematics
In the honours program, you will learn to be proficient in high level abstract mathematical reasoning. The honours program is excellent preparation for graduate studies; many University of Regina graduates from the program go on to earn MSc and PhD degrees at top universities in North America.
Bachelor of Science in Statistics
In this program you will take courses in statistics and probability, as well as theoretical and applied courses. Statisticians at the bachelor of science level are needed in industry, government, and academics (colleges, technical schools). The Bachelor of Science in Statistics is also a pathway to graduate studies, which can lead to a variety of skilled careers such as a statistician or data scientist.
Bachelor of Science Honours in Statistics
In the honours program, you will learn to be proficient in high level statistical reasoning that prepares you for careers in the nonacademic sector and for continued studies at the masters and doctoral level.
Bachelor of Science in Applied Mathematics and Statistics
Graduates of this program will be proficient in the uses of mathematics, especially calculus, matrix algebra, differential equations, probability, and statistics. You will also be exposed to computer science and higher level mathematical reasoning in the form of mathematical proofs.
Bachelor of Science in Data Science
The modern world uses data in an unprecedented way, and there is a great demand for people with skills on how to manage, understand, and apply large data sets. The new data science program (which is offered jointly with the Department of Computer Science) is designed so that students with good math skills can use a blend of mathematical, statistical, and computational science for the analysis, interpretation, and application of data.
Bachelor of Science in Statistics and Economics (combined major)
The combined degree in Statistics and Economics is designed for students with an interest in both fields. This program provides a broad understanding of the fundamental concepts involved in both subjects.
Bachelor of Science in Computer Science and Math (combined major)
This program is designed for students who are interested in computation or theoretical computer science.
Certificate in Statistics
The twoyear certificate is ideal for students who are majoring in another subject, but wish to acquire this formal credential to recognize their foundational knowledge of statistics. Because of the prerequisite structures of the program, the certificate requires at least four semesters to complete. Completion of the certificate can be a ladder into the Bachelor of Science in Statistics.
What are Mathematics, Applied Mathematics and Statistics?
Mathematics
Mathematics is the science that deals with the logic of shape, quantity and arrangement. It is the building block for nearly everything in our daily lives, including smartphones, computers, software, architecture (ancient and modern), art, money, engineering, travel, and sports.
The main branches of pure mathematics are:

Algebra (the study of arithmetical systems of various types)

Analysis (the study of the continuum and the mathematics of change)

Combinatorics (the mathematics of counting)

Probability (the mathematics of random phenomena)

Topology (the study of geometrical objects and their deformations)
Applied Mathematics & Statistics
In applied mathematics, the development of mathematical tools is the main objective. Some examples are:

The study of how blood flows through the cardiovascular system

Numbertheoretic encryption for secure internet commerce

The development of models for understanding the folding process in proteins
Applied mathematics also involves a strong knowledge of statistical science, which is fundamental to analyzing and interpreting data.
Statistics
Statistics is an academic subject that collects data for research purposes and provides theories and methods to analyze data and make scientific judgments about uncertain outcomes of interest. Statistical models and methods have applications in almost all industries and academic research disciplines that seek meaningful results from data. Here are a few examples of practical projects:

Predict full season results of Major League Baseball players based on their historical performance measures (e.g., hitting averages)

Classify customers based on spending behaviour (e.g., the number of shops to use, the average time to spend in a shop, the average amount to spend, etc.)

Predict whether someone will have a certain type of cancer on the basis of demographic, diet and clinical measurements

Identify the economic impact of epidemic animal diseases and their control programs
The rapid development and increased use of information and communication technologies produce a vast amount of data that can be used for many purposes. Recently, there has been an increased demand for statistical specialists, such as statisticians or data scientists, who analyze and use large amounts of data.
Some specialty courses in math and statistics at the U of R include:
Introduction to Quantum Information Theory
Introduction to Quantum Information Theory is a course in the mathematics of quantum information theory. Topics include information measures, quantum states and observables, qubits, entanglement, quantum channels, entropy, and measurements.
Introduction to Statistical Inference
Introduction to Statistical Inference includes sampling distribution theory and the central limit theorem; large sample theory; methods of estimation and hypothesis testing including maximum likelihood estimation, likelihood ratio testing, and confidence interval construction.
Statistical Learning and Predictive Modeling
Statistical Learning and Predictive Modeling examines selected topics and techniques in statistical learning and predictive modeling, including linear models, logistic regression models, regression trees, classification models and statistical software.
Quick Facts
Connect with us
Mathematics and Statistics Meet Your Faculty
Why Study Mathematics and Statistics at the University of Regina?
Our programs play a fundamental role in the development of analytical and critical thinking, quantitative reasoning, problem solving, and the ability to understand and manipulate complex data and ideas.
Our professors hold 13 NSERC Discovery Grants, which makes the department one of the most successful of the University's academic units in national tricouncil funding competitions.
The University of Regina is a full member of the Pacific Institute for the Mathematical Sciences (PIMS).
Coop education program
Apply your knowledge in a real world setting. Coop work terms provide you with careerrelated work experience, job search skills, and a higher chance of obtaining fulltime employment upon graduation.
Expert professors and instructors
Math and Statistics faculty members are active scholars whose research occupies a significant portion of their academic work. By engaging in research, faculty members remain at the forefront of knowledge, passing that knowledge on to their students.
Learn from expert faculty members whose research interests include:
 Group and representation theory
 Operator algebras
 Quantum probability and quantum information theory
 Topology and symplectic geometry
 Matrix theory and combinatorial matrix analysis
 Discrete mathematics
 Statistical analysis of discrete data
 Statistics and biostatistics
Student job opportunities
The department of Mathematics and Statistics offers job opportunities for students as teaching assistants (markers, laboratory instructors, tutors) and research assistants.
MASS (Math ActuarialStatistics Student Society)
MASS is a society that is open to all students interested in Math, Statistics, and Actuarial Science. Members organize functions not only for MASS students, but also for the general student body. These range from tutorial sessions for any students taking Math, Statistics, or Actuarial Science courses, to events to celebrate Pi Day (March 14), to collaborating with other student groups on sciencethemed events.
Mathematics and Statistics Frequently Asked Questions
The honours program has higher academic requirements. To graduate with a Bachelor of Science Honours degree, you must have an overall average of at least 70 per cent, and an average of least 75 per cent in math and statistics courses and other required science courses.
If you are interested in the honours program, you must get permission from the math and statistics department and plan to enter before the start of your fourth year of studies.
Yes! You can transfer from another U of R program, or from other college and university programs, as long as you meet the admission requirements for the Faculty of Science.
Yes! In addition to a variety of general and ongoing scholarships and bursaries, we also offer the following scholarships to undergraduate math and statistics students:
 H.J. Promhouse Entrance Scholarship in Mathematics
 Kornelius G. Toews Scholarship
 James B. Carefoot Memorial Scholarship
 Joan & Norman Beirnes Scholarship
Use our online Student Awards Management System (SAMS) to find other awards and scholarships for which you may be eligible.
Mathematics and Statistics Program Concepts and Goals
U of R math and statistics majors have gone on to work in positions including portfolio development analyst, tax manager, actuary, data analyst, quantitative analyst, university professors, and more.
Study
In mathematics, your studies will focus on calculus, matrix algebra and differential equations, and developing high level reasoning. In statistics, you will study how statistics and numbers help us understand the world, predict future events, and analyze information.
Get experience
Coop work terms provide you with practical, handson learning experience in your field and help you develop professional competency skills.
Get jobs
Math and statistics have applications in virtually all industries. Our graduates have worked for a wide variety of employers, including:
 Farm Credit Canada
 Willis Towers Watson
 ComplyWorks
 Global Metal Carrier
 BDO Canada
What can you do with a Mathematics and Statistics degree?
To explore minors that may be available in this program area, please visit the Academic Calendar or meet with your faculty advisor in the Academic Advising Office after you are admitted.
Upon successfully completing your bachelor’s program in Math and Statistics, you will be ready for the next step of your career. Some of our students go on to graduate studies. The jobs our graduates have had include:
 Account Manager
 Applied Mathematician (various fields including: finance, health, marketing, manufacturing, mining, science)
 Biostatistician
 Clinical Data Coordinator
 Cryptologist
 Data Analyst
 Financial Analyst
 Statistician (e.g., law, government, industry)