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SUMMARY OF GRADUATE DEGREE PROGRAMMES

The Regular M.A. Programme (click for requirements)

This programme is suitable for those students who want to undertake graduate study in mathematics or statistics.  To be admitted, students normally must hold an honours degree in mathematics or statistics. Students with an honours degree in other mathematics-intensive disciplines (e.g. Computer Science, Science, Economics) and who have a broad knowledge of mathematics or statistics are also considered.

Students can take courses in a wide variety of fields. Courses in such areas as algebra, analysis, topology, differential equations, numerical methods, foundations of mathematics, probability, operations research, mathematical and applied statistics are offered regularly.

The programme provides solid preparation for admission to a Ph.D. programme at York or other North American universities. It is also a suitable programme for students who wish to expand their knowledge of mathematics or statistics beyond what they learned at the undergraduate level but who do not want to continue beyond the Master's level.

The programme is available on a full-time or part-time basis. Full-time students with a good background can usually complete their degree in three terms (there are fall, winter and summer terms each year) while those with a weaker background may require four or five terms.

The M.A. Programme for Teachers (click for requirements)

This programme is designed to upgrade the breadth of knowledge of high school mathematics teachers, thus making them more effective in their classrooms.  As such it is more course-intensive than our Regular Programme.  The courses in this programme are clearly distinguished from those in the Regular Programme.  They aim at developing mathematical insight in general by, among other things, examining the significance of various areas of mathematics relative to one another.  Another important component of the instruction in the Teachers Programme is the development in the student of a historical perspective on the growth of mathematical ideas.  This is a terminal programme, and it does not aim at preparing students for Ph.D. level study in mathematics or statistics at York. Students will normally enroll in it on a part-time basis.

Graduands from either of the above programmes will obtain an M.A. degree from York University; the different nature of their studies is not reflected on their diploma.

The M.Sc. Programme in Industrial Applied Mathematics (click for requirements)

The M.Sc. in Industrial and Applied Mathematics has been designed as a two-year programme. Students are required to take a certain set of core courses and the practicum. In the practicum, students will model physical problems that involve interpretations of experimental data, mathematical formulation of problems, analyses of the mathematical problems, and interpretations of the results. The programme will culminate in a thesis.

The Graduate Diploma in Financial Engineering (click for requirements)

The Financial Engineering programme at York is designed to provide the relevant training in finance, mathematics, and computer science which is necessary to understand, design and value new financial instruments: for example, the various types of derivative securities which are prevalent in modern financial markets.

It is set up as a diploma programme. This means that the student completes either the regular M.A. degree in Mathematics and Statistics, or the MBA degree, and in addition completes a set of Financial Engineering Core Courses plus an Internship or a Research Paper. With the completion of the core courses and the internship/research paper, the student will be awarded a separate Diploma in Financial Engineering in addition to their regular Master's Degree.

The Ph.D. Programme (click for requirements)

Students in the Ph.D. programme take advanced level course work and write a dissertation (thesis) containing original research results. Members of the programme have expertise in a wide variety of areas in mathematics, statistics and related disciplines. A detailed listing of the faculty and their fields of interest appears below.

To be admitted as a Ph.D. student, an applicant must have a Master's degree in mathematics or statistics or must have completed at least one year of comparable studies.

 

Faculty of Graduate Studies - Department of Mathematics & Statistics - York University