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.
