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Program and Entrance Requirements

 

ALL PROGRAMS

The Department of Mathematical and Statistical Sciences will consider students who have an overall grade point average of 3.3 or higher in their undergraduate or graduate years at the University of Alberta, or an equivalent grade point average from another institution. Strong Letters of Reference, a compelling Personal Statement and Curriculum Vitae are also necessary for consideration for admission.

International Applicants: For GPA equivalencies, please see this chart: minimum grade point average required from counties other than Canada.

The Department of Mathematical and Statistical Sciences requirements for admission are different than the minimum requirements listed by the Faculty of Graduate Studies and Research (FGSR).  This pertains to coursework done within Canada, and outside of Canada, as well as English Language Proficiency Tests. Applicants must meet the requirements set by the Department of Mathematical and Statistical Sciences to be considered for admission, as these requirements are higher than the requirements set by FGSR.

Even though an applicant may appear to satisfy the general admission requirements, acceptance into a graduate program is not guaranteed. This is due to the competitive nature of Mathematical and Statistical Sciences programs, in which the Department cannot offer admission to all qualified applicants, and therefore can offer admission to the most qualified applicants only.

NOTE: Applicants whose first language is not English must provide a valid English Language Proficiency score above the Department minimum. For more information (including possible exemptions) go to: ENGLISH LANGUAGE PROFICIENCY

Please also see the Regulations and Guidelines for Graduate Programs for a list of all requirements.



PROGRAM SPECIFIC REQUIREMENTS

Doctor of Philosophy (Ph.D.)

A student entering the Ph.D. program will usually have a Master's degree. The student will normally take at least three courses in each term of the first year, at least two in each term of the second year. Students must take an Advisory examination at the beginning of the first term. When a student has completed two winter session terms as a provisional candidate for the Ph.D., a decision must be made by the Council of the Department of Mathematical and Statistical Sciences whether the student may continue in the program. The successful student is entitled to begin research on a dissertation. One year after passing the Entrance Year, when most of the course work is completed and a thesis project started and well-defined, the student will take the Candidacy Examination. Here they will describe their project mentioning results obtained and be questioned on their field of research by an advisory committee. Following the acceptance of their dissertation by the advisory committee the final public oral examination will be held.

Degrees of Doctor of Philosophy ( Ph.D.):

  • Applied Mathematics
    • Mathematical Biology
  • Mathematical Finance
  • Mathematical Physics
  • Pure Mathematics
  • Statistics
  • Statistical Machine Learning

Note: We do not offer a Ph.D. program in Biostatistics

Entrance Requirements for Doctor of Philosophy (Ph.D.)

To be admitted as a provisional candidate for the Ph.D. a student must normally hold the equivalent of a M.Sc. degree in Mathematical and Statistical Sciences from the University of Alberta. In special circumstances an M.Sc. student may be allowed to transfer to the Ph.D. program, bypassing the master’s degree. The residency requirement for a Ph.D. candidate is full-time registration for 2 academic years.

 

Master of Science (M.Sc.) (Thesis or Course Based)

There are two programs leading to the M.Sc. degree. The minimum requirements of the thesis program are the satisfactory completion of six single-term graduate courses and a thesis. For the course-based program, the minimum requirements are the satisfactory completion of eight single-term graduate courses and an approved project. Normally the project component for those specializing in Statistics will consist of work on consulting problems. The M.Sc. degree requirements can be completed in one year if the student pursues the course-based route; students in the thesis program usually take slightly longer to complete the degree. It is possible for a student to transfer to the Ph.D. program without having completed the requirements of the M.Sc. degree.

The course-based M.Sc. degree is primarily intended as a terminal degree, to be followed by employment in a related occupation.  For this reason, course-based M.Sc. students are not normally admitted with a full-time teaching assistantship.  Students who plan to continue to a Ph.D. program, and then to a research-related career, are encouraged to enter the thesis-based M.Sc. program.

Degrees of Master of Science ( M.Sc.):

  • Applied Mathematics
    • Mathematical Biology
  • Biostatistics (M.Sc. Only)
  • Mathematical Finance
  • Mathematical Physics
  • Pure Mathematics
  • Statistics
  • Statistical Machine Learning (Thesis Based Only)

Entrance Requirements for Master of Science (M.Sc.)

Candidates for the M.Sc. degree will normally have a B.Sc. (Honors or Specialization) degree or the equivalent from a recognized university, with a strong background in applied or pure mathematics and/ or statistics. Students with strong backgrounds in the area but specializing for the first time will be required to take additional course work. The residency requirement in all M.Sc. programs offered by the Department is full-time registration for 2 four-month terms.

There is no specific list of particular math or statistics courses required but the best match would probably come from our Honors program in Mathematics or Statistics.

There are course-based and thesis-based programs leading to the M.Sc. degree. The M.Sc. degree requirements can be completed in one year if the student pursues the non-thesis route; students in the thesis program usually take slightly longer to complete the degree. It is possible for a student to transfer to the Ph.D. program without having completed the requirements of the M.Sc. degree.

 

Postgraduate Diploma in Statistics

The requirement of this program is satisfactory completion of seven graduate courses. The purpose of this program is to provide an organized package of courses to those who are unable to undertake a graduate degree program. More information.


Areas of Research

 

 


Department of Mathematical and Statistical Sciences
University of Alberta
632 Central Academic Building
Edmonton, AB T6G 2G1
Phone:780.492.3396
Fax: 780.492.6826
Last modified Nov, 2008
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