The Master’s in Computational Mathematics offered at Waterloo’s Faculty of Mathematics is an intensive, one year program that gives students a foundation in the theory and applications of the broad field of Computational Mathematics.
The program is targeted to students with a Bachelor’s degree in mathematics, statistics, or computer science, or in another program with a strong mathematical component including economics, engineering and any of the physical sciences. This challenging program will provide excellent students a fast track to PhD studies or to a job in industry such as IT, finance, biomedical applications, research labs, etc.
An important feature of the Waterloo Master’s in Computational Mathematics program is its breadth. Four out of the six required courses are chosen from a list of five core courses in Computational Mathematics. The core areas include discrete computational mathematics, numerical methods, computational statistics and machine learning, scientific computing, and computational optimization. The two remaining courses are chosen from a large list of suggested graduate courses offered by the various departments and schools housed within the Faculty of Mathematics.
In addition to six graduate courses, students complete a one-term supervised research project in an area of Computational Mathematics of their choice. See here for a list of potential research supervisors and their areas of interest.
Graduates typically go on to PhD studies in an area of Computational Mathematics, or find jobs in one of the increasingly many sectors in which quantitative modeling on computers is important. For example, past graduates have found jobs at Investors Group, Oracle, Statistics Canada, JPMorgan, Accenture, BMO TD and OpenText. For more background information on careers in computational mathematics, see this SIAM brochure (PDF) from the Society of Industrial and Applied Mathematics (SIAM).
For more information, contact:
Professor Jeff Orchard, Graduate Officer
519-888-4567, ext. 35037