
Thesisbased
Academic background: Bachelor's degree in mathematical finance or an undergraduate degree in a field related to mathematical finance, such as stochastic processes, probability, statistics, mathematics, economics or finance.
Course load: One seminar course and five courses at graduate level which must include two courses from List A, one from List B and one from List C.
Thesis or project: A thesis has to be written and defended orally in front of an exam committee.
Completion time: On average, two years. The maximum time allowed is four years.
Is parttime available: Yes. The maximum time allowed is six years.
Course performance level: Should maintain a minimum cumulative GPA of 3.00 (calculated on a fourpoint scale) at the end of each registration year and attain at least a B on each course taken for credit.
Funding: Funded for up to two years or sponsored.

Coursebased
Academic background: A bachelor's degree in mathematical finance or an undergraduate degree in a field related to mathematical finance, such as stochastic processes, probability, statistics, mathematics, economics or finance.
Course load: One seminar course and eight courses which must include two courses from List A, two from List B and two from List C (or 2 from List A, three from List B and one from List C (if the courses from List C do not run annually))
Thesis or project: A final project with a corresponding written report has to be submitted to and passed by the supervisor.
Completion time: 12 years. The maximum time allowed is four years.
Is parttime available: Yes. The maximum time allowed is six years.
Course performance level: Should maintain a minimum cumulative GPA of 3.00 (calculated on a fourpoint 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
 Jinniao Qiu: Mathematical finance, analysis, PDE, operation research
 Deniz Sezer: Mathematical finance, operation research, modelling of wind and solar energy
 Anatoliy Swishchuk: Mathematical finance, energy market modelling, stochastic calculus, random evolutions, stochastic processes
 Antony Ware: Computational finance, energy markets modelling, numerical methods

List A courses
ACSC 515 Models for Financial Economics
MATH 681 Stochastic Calculus for Finance
MATH 683 Computational Finance 
List B courses
STAT 507 Introduction to Stochastic Processes
MATH 605 Differential Equations III
MATH 601 Measure and Integration
STAT 701 Theory of Probability I
STAT 721 Theory of Estimation 
List C courses
MATH 6XX Introduction to Levy Processes with Applications in Finance
MATH 6XX Monte Carlo Methods in FinanceExisting Course
MATH 6XX Stochastic Optimal Control & Applications in Finance
MATH 6XX Energy, Commodity and Environmental Finance
MATH 6XX Credit RiskExisting Course
MATH6XX Advanced Topics in Mathematical Finance 
Haskayne courses
FNCE 745 Futures and Options
FNCE 767 Financial Risk Management
FNCE 789.6 Seminar in Financial Management (FinTech)
FNCE 799.05 Theory of Corporate Finance
FNCE 799.06 Asset Pricing
FNCE 799.07 Topics in Asset Pricing and Corporate Finance
A master’s thesisbased 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 cosupervisor (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)
 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 websites under examinations.