Our Graduate Programs
The School of Mathematics and Statistics offers many graduate programs. See below the list of programs, including their Admission Requirements, Program Requirements, Course Selection (M.Sc.) and Comprehensive Examinations (Ph.D). For more information on the programs and their courses, please visit Carleton Graduate Calendar for Mathematics and/or Biostatistics.
M.Sc. Mathematics (Applied Mathematics, Probability and Statistics, Pure Mathematics)
Students pursuing studies in pure mathematics, applied mathematics, probability and statistics at the graduate level leading to a M.Sc. do so in a joint program offered by the School of Mathematics and Statistics at Carleton University and the Department of Mathematics and Statistics at the University of Ottawa under the auspices of the Ottawa-Carleton Institute of Mathematics and Statistics. The Institute is responsible for supervising the programs, regulations, and student admissions, and for providing a framework for interaction between the two departments at the research level.
- Admission Requirements
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- The normal requirement for admission to the master’s program is an Honours Bachelor’s degree in mathematics, or the equivalent, with at least high honours standing.
- Applicants holding a general (three-year) degree with at least high honours standing may be admitted to a qualifying-year program.
- Subsequent admission to the regular master’s program depends upon performance during the qualifying-year program and will be decided no later than one year after admission to the qualifying-year program. Details are outlined in the General Regulations section of the Graduate Calendar.
- Program Requirements
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- 2.0 credits and a thesis, or
- 3.0 credits and a research project, or
- 4.0 credits
- Course Selection
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With the exception of students in the coursework option, all courses must be taken at the graduate level. Students in the coursework option may take up to 1.0 credit of undergraduate courses at the 4000 level.
M.Sc. Mathematics with Specialization in Biostatistics (Collaborative Program) (Specialization requirements listed under Biostatistics)
The Specialization in Biostatistics is an interdisciplinary area of research linking statistics, biology, medicine, and health sciences. The specialization is intended to prepare a student for a career as a biostatistician in a health-related industry, or for a doctoral program in biostatistics.
The program is administered by a committee of representatives from the primary departments, which include the Department of Epidemiology and Community Medicine at the University of Ottawa, the Department of Mathematics and Statistics at Carleton University and the Department of Mathematics and Statistics at the University of Ottawa. Application is made to the primary department most appropriate to the student’s research interests. The title of the degree will specify the discipline of the participating unit with specialization in biostatistics.
- Admission Requirements (Bio)
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- Honours B.Sc. with high honours standing (or the equivalent) in statistics and experience in the analysis of data. Students in this stream follow a program with an emphasis in clinical trial design or epidemiological methodology.
- Students should normally apply for acceptance in the Specialization in Biostatistics at the same time as they apply for admission into the master’s program in Mathematics. If accepted into the regular program, the student will then be considered by the program coordinators for admission into the Specialization.
- Students intending to apply for admission to the Specialization should normally contact prospective thesis supervisors before submitting the application and establish a thesis supervisor and research topic.
- Program Requirements (Bio)
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- M.Sc. Mathematics: Specialization in Biostatistics – Thesis option (5.0 credits)
- M.Sc. Mathematics: Specialization in Biostatistics – Coursework option (5.0 credits)
Ph.D. Mathematics (Applied Mathematics, Probability and Statistics, Pure Mathematics)
Students pursuing studies in pure mathematics, applied mathematics, probability and statistics at the graduate level leading to a Ph.D. do so in a joint program offered by the School of Mathematics and Statistics at Carleton University and the Department of Mathematics and Statistics at the University of Ottawa under the auspices of the Ottawa-Carleton Institute of Mathematics and Statistics. The Institute is responsible for supervising the programs, regulations, and student admissions, and for providing a framework for interaction between the two departments at the research level.
- Admission Requirements (Ph. D.)
The normal requirement for admission to the Ph.D. program is a master’s degree in mathematics, or the equivalent, with at least B+ standing. Details are outlined in the General Regulations section of this Calendar.
- Program Requirements (Ph.D.)
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- Ph.D Mathematics (10.0 credits)
- 3.0 credit in courses, at least 1.0 credit of which must be in a field other than mathematics
- 7.0 credits in: MATH 6909 [7.0] Ph.D. Thesis (including a final oral examination on the thesis subject)
- All candidates must take a comprehensive examination. See note on Comprehensive Examinations below.
- Comprehensive Examinations
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Students specializing in mathematics or probability undertake a comprehensive examination in the following areas:
- The candidate’s general area of specialization at the Ph.D. level
- Examinations on two topics chosen from applied analysis; discrete applied mathematics, algebra, analysis, probability, topology and statistics.
- Students specializing in statistics must write an examination in the following areas:
- Mathematical statistics which include multivariate analysis
- An examination in probability, and
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