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Programs of Study

The Department of Mathematics and Statistics offers graduate programs leading to three degrees:

  1. Master of Applied Statistics (MAS)

    The MAS is a highly structured program incorporating both courses and practicum (an applied statistics project). A full-time student with an honours degree in statistics normally requires two years to complete the degree requirements. This programme takes new admission only in the Fall term.

  2. Master of Science (M.Sc.)

    Mathematics:
    Option 1. Research based program. This program consists of graduate courses and a thesis. A full-time student is expected to complete the degree requirements in two years.
    Option 2. Course based program. This is an intensive three semester (one year) program based on graduate courses and a project.This programme takes new admission only in the Fall term.

    Statistics:
    This program consists of graduate courses and a thesis. Full-time students should complete the degree requirements within two years.

  3. Doctor of Philosophy (PhD)
    The PhD programs in mathematics and in statistics consist of graduate courses, a two-part comprehensive examination, and a thesis embodying the results of original research of a high calibre. Students are expected to complete the PhD degree requirements in three to four years. Upon completion of the thesis, a final oral examination and defence of thesis must take place.

The department is also a participating member in two interdisciplinary programs: the M.Sc. in Computational Science and the PhD in Theoretical Physics. Students interested in either of these programs should direct their inquiries to the corresponding program coordinators:

Complete regulations concerning programs of study can be found in the Memorial University Calendar. Below we summarize the relevant information for the programs offered by our department.

 

Master of Applied Statistics (MAS)

Admission is limited and competitive. To be considered for admission to the Master of Applied Statistics program, an applicant should normally hold at least a high second-class honours degree (or equivalent) from a recognized and respected institution. In addition, an applicant shall normally have completed undergraduate courses in statistics which cover the curricula of the following undergraduate courses:

The program of study for the degree of Master of Applied Statistics includes the successful completion of:

  • STAT 6590 A Course in Statistical Consulting
  • STAT 6510 Mathematical Statistics
  • STAT 6560 Continuous Multivariate Analysis
  • STAT 697A/B Graduate Seminar Series in Statistics

and at least three additional courses selected from:

  • STAT 6503-6589

A practicum, consisting of an applied statistics project and an associated report, is also required. The purpose of the project is to provide the student with practical experience in the application of statistics to another discipline. The report for the project must demonstrate a satisfactory general mastery of statistical knowledge.

 

Master of Science (M.Sc.)

Admission is limited and competitive. To be considered for admission, an applicant should normally hold at least a high second-class undergraduate degree (or equivalent) and have a basic knowledge of the proposed field of specialization.

M.Sc. in Mathematics

There are two programs leading to the degree of Master of Sciences in Mathematics: one thesis based (Option 1) and the other course based (Option 2).

Option 1: At least 15 credit hours in graduate courses, at most 3 of which may be from seminar courses (excluding Math 696A/B) and at least 9 of which must be courses selected from the list below with at least 3 credit hours in each of three of the indicated subject areas. Remaining course selections to satisfy the total credit hour requirement for this option may be chosen from the departmental course offerings, excluding Math 6299. A thesis is required as per General Regulations, Theses and Reports.

Option 2: At least 23 credit hours comprised of Math 696A/B (2 credit hours), Math 6299 (3 credit hours) and six graduate courses with a least 9 credit hours in courses selected from the list below and at least 3 credit hours in each of three of the indicated subject areas. Remaining course selections to satisfy the total credit hour requirement for this option may be chosen from the departmental course offerings, excluding seminar courses.

  • Algebra
    • MATH 6320 Group Theory
    • MATH 6321 Ring Theory
  • Analysis
    • MATH 6310 Functional Analysis
    • MATH 6311 Complex Analysis
    • MATH 6312 Measure Theory
  • Applied Mathematics
    • MATH 6100 Dynamical Systems
    • MATH 6120 Theoretical Fluid Dynamics
    • MATH 6201 Numerical Methods for Partial Differential Equations
    • MATH 6212 Numerical Methods for Initial Value Problems
  • Combinatorics
    • MATH 6340 Graph Theory
    • MATH 6341 Combinatorial Design Theory
    • MATH 6342 Advanced Enumeration
  • Topology
    • MATH 6300 Algebraic Topology I
    • MATH 6301 Algebraic Topology II
    • MATH 6332 Point Set Topology


M.Sc. in Statistics

Every candidate for the M.Sc. in Statistics is required to complete successfully

  • STAT 6510 Mathematical Statistics
  • STAT 6560 Continuous Multivariate Analysis
  • STAT 697A/B Graduate Seminar Series in Statistics

and at least four additional graduate courses. A thesis is required, as well.

 

Doctor of Philosophy (PhD)

Every candidate shall complete at least two courses in the area of specialization. Candidates not holding a Master's degree shall, in addition, complete the course requirements for a Memorial University of Newfoundland Master's degree in mathematics or statistics, as appropriate. Any candidate may be required to take additional courses.

Every candidate shall also complete a Comprehensive Exam, consisting of two parts:

  • The qualifying review consists of written examinations and takes place as soon as the Supervisory Committee deems appropriate, but not later than the end of the candidate's third semester in the doctoral program. Its main purpose is to ensure that the candidate has a reasonably broad general knowledge of mathematics or statistics, as appropriate.
  • The intermediate review consists of an oral presentation on the candidate's thesis topic followed by an oral examination based on the presentation, although questions of a general nature relating to the field of specialization are also permitted. It must take place no later than the end of the candidate's seventh semester in the doctoral program. Its purpose is to ensure that the candidate has specialized knowledge in his/her chosen area sufficient to do original research of a high level.

PhD in Mathematics

Admission to the PhD program is limited and competitive. A Master's degree in mathematics or related area from a recognized university is normally required for entry into the PhD program. Students holding a Bachelor's degree (Honours or equivalent) in mathematics may be considered for direct admission into the PhD program. Students currently registered in Memorial University of Newfoundland's M.Sc. program in mathematics may request a transfer into a PhD program. Such transfer must be supported by the intended PhD supervisory committee and the Graduate Studies Committee.

PhD in Statistics

Admission to the PhD program is limited and competitive. A Master's degree in statistics from a recognized university is normally required for entry into the PhD program. Students currently registered in Memorial University of Newfoundland's MAS or M.Sc. program in statistics may request a transfer into a PhD program. Such transfer must be supported by the intended PhD supervisory committee and the Graduate Studies Committee.

In addition to general departmental requirements, each candidate for the PhD in statistics will be required to present at least one paper at a graduate seminar on a topic to be approved by his or her supervisor.

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