Mathematics and Statistics

The Bachelor of Science in Mathematics and Statistics at the University of Ottawa offers a comprehensive and rigorous education designed to equip students with a solid foundation in mathematical theories, statistical methods, and their applications. This interdisciplinary program combines core courses in pure and applied mathematics with essential training in statistical analysis, data modeling, and computational techniques, preparing graduates for diverse careers in research, industry, government, and academia. Throughout the program, students have opportunities to engage in problem-solving, analytical thinking, and data interpretation, fostering skills highly valued in today's data-driven world. The curriculum includes courses in calculus, linear algebra, discrete mathematics, probability, and inferential statistics, as well as specializations in areas such as computational mathematics, actuarial science, and financial mathematics. Students can also participate in research projects, internships, or cooperative education placements to gain practical experience and strengthen their employability. With access to cutting-edge laboratories and academic resources, students are encouraged to explore mathematical theories and statistical methodologies in real-world contexts, enhancing their understanding and preparing them for graduate studies or professional careers. The program emphasizes critical thinking, quantitative reasoning, and effective communication, essential skills for solving complex problems across various sectors. Graduates of the Bachelor of Science in Mathematics and Statistics at the University of Ottawa emerge as versatile professionals capable of analyzing, modeling, and interpreting complex data sets and mathematical phenomena. They are well-equipped to contribute to technological innovation, scientific discovery, policy development, and other fields requiring analytical expertise. The university's vibrant academic community and extensive network of alumni and industry partners offer students valuable opportunities for mentorship, collaboration, and career advancement. Whether pursuing advanced studies or entering the workforce, students graduating from this program stand out with a strong analytical toolkit, a strategic mindset, and a commitment to excellence in mathematical and statistical sciences.

• DISCRETE APPLIED MATHEMATICS I: GRAPH THEORY
• COMBINATORIAL OPTIMIZATION
• DISCRETE APPLIED MATHEMATICS II: COMBINATORIAL ENUMERATION
• INTRODUCTION TO HILBERT SPACE
• BANACH ALGEBRAS
• REAL ANALYSIS 
• COMPLEX ANALYSIS 
• ORDINARY DIFFERENTIAL EQUATIONS
• PARTIAL DIFFERENTIAL EQUATIONS
• TOPICS IN DIFFERENTIAL EQUATIONS
• ALGEBRA 
• LIE ALGEBRAS
• COMMUTATIVE ALGEBRA 
• GROUP THEORY
• RINGS AND MODULES 
• HOMOLOGICAL ALGEBRA AND CATEGORY THEORY
• GROUP REPRESENTATIONS AND APPLICATIONS
• ALGEBRAIC GEOMETRY 
• TOPICS IN GEOMETRY
• TOPOLOGY 
• DIFFERENTIABLE MANIFOLDS
• LIE GROUPS
• MATHEMATICAL CRYPTOGRAPHY
• MATHEMATICAL LOGIC
• MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE
• ANALYTIC NUMBER THEORY
• ALGEBRAIC NUMBER THEORY
• THEORY OF AUTOMATA
• FORMAL LANGUAGE AND SYNTAX ANALYSIS 
• HOMOLOGY THEORY
• FOUNDATIONS OF GEOMETRY
• PROBABILITY THEORY
• TOPICS IN STOCHASTIC PROCESSES
• STOCHASTIC ANALYSIS 
• NETWORK PERFORMANCE
• ROBUST STATISTICAL INFERENCE
• MODERN APPLIED / COMPUTATIONAL STATISTICS
• ASYMPTOTIC METHODS OF APPLIED MATHEMATICS 
• TOPICS IN APPLIED MATHEMATICS
• MATHEMATICAL STATISTICS
• SAMPLING THEORY AND METHODS
• ADVANCED DESIGN OF SURVEYS
• QUANTUM COMPUTING
• PhD THESIS

Requirements

• Hold a related master's degree
• Application Fee:$100.00 ($CDN non-refundable)
• 2 Recommendation letter(s)
• Transcript
• Proof of proficiency in your program's language of instruction, in the case of applicants whose first language is neither English nor French
  Language proficiency test scores equivalencies:TOEFL 550 / IELTS Overall 6.5 - Individual 5.0 (Paper-based), TOEFL 79-80 / IELTS Overall 6.5 - Individual 5.0 (Internet-based)
• Resume
• A letter of intent outlining your career goals and proposed research area.
• We recommend that you contact potential thesis supervisors early. To register, you need to be accepted by a thesis supervisor.
• International students must show proof of funding in the form of a supervisor stipend and a combination of scholarships and/or in-trust accounts.

Scholarships

• Full/Partial FGPS Scholarship
• Ontario Graduate Scholarships (OGS)
• Vanier Canada Graduate Scholarship
• Mitacs Globalink Fellowship

The Bachelor of Science in Mathematics and Statistics at the University of Ottawa offers students a comprehensive and rigorous curriculum designed to develop strong analytical, problem-solving, and quantitative skills. This multidisciplinary program combines fundamental concepts in pure and applied mathematics with essential statistical methods, preparing graduates for diverse careers in research, industry, government, and academia. Students will engage in coursework covering calculus, linear algebra, differential equations, probability theory, statistical inference, data analysis, and computational techniques, ensuring a well-rounded foundation in both theoretical and practical aspects of mathematics and statistics.

The program emphasizes the development of critical thinking and the ability to model complex systems, equipping students with proficiency in mathematical reasoning, data interpretation, and scientific communication. Through internships, research projects, and collaborations with industry partners, students gain valuable hands-on experience, making them highly competitive in the job market or well-prepared for graduate studies. The university's state-of-the-art facilities, dedicated faculty, and vibrant academic community provide an enriching environment for learning and professional growth. Graduates of this program are prepared for careers in data science, actuarial science, financial analysis, software development, teaching, and research, among others. With a flexible curriculum, students can choose electives aligned with their interests, including applied mathematics, computational statistics, or mathematical finance, allowing for specialization within the broader field. The program is designed to foster lifelong learning and adaptability, ensuring graduates remain relevant in an evolving technological landscape.