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Mathematics

Master of Science (MSc)

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  1. Thesis-based

    Academic background: Details can be found here.

    Course load: MATH 600 and five courses at graduate level which must include two courses from List A. At least three courses (not counting MATH 600) have to be at or above 600 level.

    Thesis or project: A thesis has to be written and defended orally in front of an exam committee.

    Completion time: Mostly two years. If the program is completed in one year, the five required courses will be reduced to four. The maximum time allowed is four years.

    Is part-time available: Yes. The maximum time allowed is six years.

    Course performance level: Should maintain a minimum cumulative GPA of 3.00 calculated on a four-point scale at the end of each registration year and attain at least a B- on each course taken for credit.

    Funding: Full-time thesis-based students will be funded for up to two years or sponsored. Part time students are not funded.

  2. Course-based

    Academic background: Details can be found here.

    Course load: MATH 600 and eight courses which must include two List A courses. At least 4 courses (not counting MATH 600) have to be at or above 600 level.

    Thesis or project: Must register and attend MATH 600A in Fall and MATH 600B in Winter and obtain a pass grade.

    Completion time: 1-2 years. The maximum time allowed is six years.

    Is part-time available: Yes. The maximum time allowed is six years.

    Course performance level: Should maintain a minimum cumulative GPA of 3.00 calculated on a four-point scale at the end of each registration year and attain at least a B- on each course taken for credit.

    Funding: Unfunded.

  • Alexandru Badescu: Mathematical finance, actuarial science.
  • Kristine Bauer: Algebraic topology and homotopic theory, calculus of factors, homological algebra.
  • Mark Bauer: Number theory and cryptography.
  • Karoly Bezdek: Combinatorics, geometry and logic, geometric analysis and rigidity, computational discrete geometry.
  • Thomas Bitoun: Algebraic geometry and D-modules.
  • Elena Braverman: Delay differential equations, delay equations of population dynamics, logistic equations, impulsive equations, equations with distributed delay.
  • Alex Brudnyi: Fundamental groups of compact Kahler manifolds, limit cycles and the distribution of zeros of families of analytic functions.
  • Clifton Cunningham: Number theory, topology and algebraic geometry.
  • Gilad Gour: Quantum information science, foundations of quantum mechanics.
  • Matthew Greenberg: Algebraic Geometry, Cryptography, and Number Theory, Algebra and Topology.
  • Claude Laflamme: Set theory, theory of homogeneous structures, e-learning systems, graph theory.
  • Wenyuan Liao: Seismic inversion and applications, mathematical modelling and the application of mathematics, especially perturbation and numerical methods, to industrial problems, numerical methods and applications to geophysics.
  • Dang Khoa Nguyen: algebraic dynamics, diophantine geometry, and related problems
  • Jinniao Qiu: Analysis, mathematical finance, quasilinear and fully nonlinear partial differential equations, stochastic calculus, operations research.
  • Cristian Rios: Analysis and partial differential equations, quasilinear and fully nonlinear partial differential equations, degenerate elliptic equations.
  • Carlo Maria Scandolo: Quantum Information, Quantum resource theories, Quantum Information Science, Foundations of Quantum Mechanics.
  • Renate Scheidler: Number theory, mathematical cryptography.
  • Deniz Sezer: Credit risk and finance, super-processes, Markov chain Monte Carlo methods.
  • Anatoliy Swishchuk: Financial mathematics, biomathematics, stochastic delay differential equations, insurance mathematics, stochastic models in economics, applications of random evolution.
  • Antony Ware: Numerical analysis, biomedical applications of mathematics, wavelets, numerical solution of unsteady convection-diffusion problems, computational finance.
  • Qingrun Zhang : Genomics Proteomics, Bioinformatics, Biotechnology, Sstatistical Genetics, Machine Learning algorithms applied to Genomics.
  • Yuriy Zinchenko: Applications to medicine and healthcare, optimal radiation therapy design; operations research, optimization algorithms and software; scientific parallel computing and high-performance linear algebra; mathematical programming with applications to computational geometry.

  1. List A courses

    MATH 601 Measure and Integration  
    MATH 603 Analysis III  
    MATH 605 Differential Equations III  
    MATH 607 Algebra III

  2. List B courses

    MATH 617 Functional Analysis  
    MATH 621 Complex Analysis  
    MATH 625 Introduction to Algebraic Topology  
    MATH 627 Algebraic Geometry  
    MATH 631 Discrete Mathematics  
    MATH 641 Number Theory  
    MATH 661 Scientific Modelling and Computation I  
    MATH 681 Stochastic Calculus for Finance  
    MATH 685 Stochastic Processes  
    STAT 701 Probability Theory

A master’s thesis-based student must complete a thesis on a topic to be agreed to by the student and their supervisor.

  • After completion of the thesis, the student must pass a thesis oral examination.
  • A master's thesis oral exam committee contains a supervisor, a co-supervisor (if applicable), an examiner (an additional member of the University of Calgary academic staff), and an internal examiner (a member of the University of Calgary academic staff may be external to the program).
  • The exam must be scheduled at least four weeks prior to date of oral exam.
  • Examiners must have a copy of the thesis at least three weeks prior to the date of oral exam.
  • Final thesis oral examinations are open.

More information can be found on the Faculty of Graduate Studies website under examinations.