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Computer Science

Computer Science

Location

  • School of Computer Science
  • McConnell Engineering, Room 318
  • 3480 University Street
  • Montreal, QC H3A 0E9
  • Canada
  • Telephone: 514-398-7071 ext. 00074
  • Fax: 514-398-3883
  • Email: grad [dot] cs [at] mcgill [dot] ca
  • Website: www.cs.mcgill.ca

About Computer Science

The School of Computer Science is one of the leading teaching and research centres for computer science in Canada. We offer a Ph.D. program and several M.Sc. programs. All include coursework and research. In the basic M.Sc. programs, students must choose between the thesis option, and the non-thesis option, which requires a project. The Ph.D. program includes an option in bioinformatics, and the thesis M.Sc. program includes options in bioinformatics and in Computational Science and Engineering. Students are normally funded by their adviser's research grants; in the case of scholarship students, this typically takes the form of a 'top-up' to the scholarship. Research in the School covers a broad range of areas, including:

  • Theory: algorithms, combinatorial optimization, computational geometry, cryptography, graph theory, logic and computation, programming languages, quantum computing, theory of computation, and scientific computing;
  • Systems: compilers, computer games, distributed systems, embedded and real-time systems, modelling and simulations, networks, software engineering;
  • Applications: bioinformatics, machine learning, robotics, computer animation, graphics, and vision.

All students must consult the graduate program website www.cs.mcgill.ca, where up-to-date information about the graduate program is posted. Any questions concerning the program should be addressed to the Graduate Coordinator.

Master of Science (M.Sc.); Computer Science (Thesis) (45 credits)
This program is designed for students with a strong interest in research in computer science who hold at least the equivalent of an undergraduate minor in CS. This program combines a strong course component with a research thesis. It is the usual (but not mandatory) entry point for students who wish to do a Ph.D., but is also the program of choice for students who want to find challenging and exciting jobs after their master's.
Master of Science (M.Sc.); Computer Science (Thesis) — Bioinformatics (45 credits)
Bioinformatics research lies at the intersection of biological/medical sciences and mathematics/computer science/engineering. The intention of the Bioinformatics option is to train students to become researchers in this interdisciplinary field. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases, and the use of algorithms and statistics.
Master of Science (M.Sc.); Computer Science (Thesis) — Computational Science and Engineering (45 credits)
This program option is to train graduates in state-of-the-art applications of numerical and modelling methods and computer technology to scientific and engineering problems. CSE is a rapidly growing multidisciplinary area with connections to the sciences, engineering, mathematics, and computer science.
Master of Science (M.Sc.); Computer Science (Non-Thesis) (45 credits)
This program is designed for students who want to obtain broad knowledge of advanced topics in computer science but without the requirement of a thesis. It offers an excellent preparation for the job market, but is not recommended for students interested in eventually pursuing a Ph.D.
Doctor of Philosophy (Ph.D.); Computer Science
The Ph.D. program trains students to become strong, independent researchers in the field of their choice. Our graduates take challenging positions in industry or take academic positions at universities and research labs. In order to apply to the Ph.D. program, applicants should normally hold a master's degree in Computer Science or a closely related area, from a well-recognized university, but exceptional students can be admitted to the Ph.D. program directly without a master's degree.
Doctor of Philosophy (Ph.D.); Computer Science — Bioinformatics
Bioinformatics research lies at the intersection of biological/medical sciences and mathematics/computer science/engineering. The intention of the Bioinformatics option is to train students to become researchers in this interdisciplinary field. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases and the use of algorithms and statistics.
Taken from Programs, Courses and University Regulations 2013-2014 (last updated Jul. 18, 2013).

Computer Science Admission Requirements and Application Procedures

Admission Requirements

Master’s (M.Sc.)

The minimum requirement for admission is a bachelor's degree (cumulative grade point average (CGPA) of 3.2 or better, or equivalent) with the coursework in Computer Science indicated in the brochure “Information for Applicants to Graduate Programs.”

The brochure supplements information in this publication and should be consulted by all graduate students.

Ph.D.

In order to apply to the Ph.D. program, normally applicants should hold an M.Sc. degree in Computer Science or a closely related area, from a well-recognized university. Students who hold a B.Sc. degree in Computer Science but have an exceptionally strong academic record may be admitted directly to the Ph.D. program, but they must initially apply to the M.Sc. program. Students who are in the M.Sc. program have the option to be fast-tracked into the Ph.D. program at the end of their first academic year contingent on excellent performance as judged by the Ph.D. committee.

Application Procedures

McGill’s online application form for graduate program candidates is available at www.mcgill.ca/gradapplicants/apply.

See Application Procedures for detailed application procedures.

Additional Requirements

The items and clarifications below are additional requirements set by this department:
  • Curriculum Vitae – required for Ph.D. program
  • Statement of Purpose – required for Ph.D. program
  • Graduate Record Examination (GRE) – required for degrees from outside Canada. Recommended for Ph.D. program.

Application Deadlines

Canadian International Special/Exchange/Visiting
Fall: March 1 Fall: March 1 Fall: March 1
Winter: Sept. 1 (Ph.D. only) Winter: Sept. 1 (Ph.D. only) Winter: Sept. 1 (Ph.D. only)
Summer: N/A Summer: N/A Summer: N/A

Application documents are also available on our website at www.cs.mcgill.ca/prospective-students/graduate/applying/applying.

Deadlines: January 1 for applicants who wish to be considered for scholarship awards; otherwise, March 1 for admission to the Fall term.
Taken from Programs, Courses and University Regulations 2013-2014 (last updated Jul. 18, 2013).

Mathematics and Statistics

Mathematics and Statistics

Location

  • Department of Mathematics and Statistics
  • Burnside Hall, Room 1005
  • 805 Sherbrooke Street West
  • Montreal, QC H3A 0B9
  • Canada
  • Telephone: 514-398-3800
  • Fax: 514-398-3899
  • Email: grad [dot] mathstat [at] mcgill [dot] ca
  • Website: www.math.mcgill.ca

About Mathematics and Statistics

The Department of Mathematics and Statistics offers programs that can be focused on applied mathematics, pure mathematics, and statistics leading to master’s degrees (M.A. or M.Sc.), with program options in Bioinformatics and in Computational Science and Engineering (CSE). The research groups are: Algebra Category; Theory and Logic; Geometric Group Theory; Algebraic Geometry; Discrete Mathematics; Mathematical Physics; Analysis and its Applications; Differential Geometry; Number Theory; Applied Mathematics; Differential Equations; and Probability and Statistics. In the basic master’s programs, students must choose between the thesis option, and the non-thesis option which requires a project. The Bioinformatics and CSE options require a thesis. In addition to the Ph.D. program in Mathematics and Statistics, there is a Ph.D. option in Bioinformatics.

The Department website (www.math.mcgill.ca) provides extensive information on the Department and its facilities, including the research activities and the research interests of individual faculty members. It also provides detailed information, supplementary to this eCalendar, concerning our programs, admissions, funding of graduate students, thesis requirements, advice concerning the choice of courses, etc.

Students are urged to consult the website (www.math.uqam.ca/ISM) of the Institut des Sciences Mathématiques (ISM), which coordinates intermediate and advanced-level graduate courses among Montreal and Quebec universities. A list of courses available under the ISM auspices can be obtained from the ISM website. The ISM also offers fellowships and promotes a variety of joint academic activities greatly enhancing the mathematical environment in Montreal and in the province of Quebec.

Master of Arts (M.A.) Programs in Mathematics and Statistics

Detailed program requirements for the following M.A. programs are found in the eCalendar under Faculties & Schools > Faculty of Arts > Graduate > Academic Programs > Mathematics and Statistics.

Master of Arts (M.A.); Mathematics and Statistics (Thesis) (45 credits)
The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the Master's degree (M.A.). The thesis option requires a thesis (24 credits) and six approved courses of 3 or more credits each for a total of at least 21 credits.
Master of Arts (M.A.); Mathematics and Statistics (Non-Thesis) (45 credits)
The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.A.). The non-thesis option requires a project (16 credits) and eight approved courses of 3 or more credits each for a total of at least 29 credits.

Master of Science (M.Sc.) Programs in Mathematics and Statistics

Detailed program requirements for the following M.Sc. programs are found in the eCalendar under Faculties & Schools > Faculty of Science > Graduate > Academic Programs > Mathematics and Statistics.

Master of Science (M.Sc.); Mathematics and Statistics (Thesis) (45 credits)
The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.Sc.). The thesis option requires a thesis (24 credits) and six approved courses of 3 or more credits each for a total of at least 21 credits.
Master of Science (M.Sc.); Mathematics and Statistics (Thesis) — Bioinformatics (48 credits)
Bioinformatics research lies at the intersection of biological/medical sciences and mathematics/computer science/engineering. The intention of the Bioinformatics option is to train students to become researchers in this interdisciplinary field. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases, and the use of algorithms and statistics. Students successfully completing the Bioinformatics option at the M.Sc. level will be fluent in the concepts, language, approaches, and limitations of the field.
Master of Science (M.Sc.); Mathematics and Statistics (Thesis) — Computational Science and Engineering (47 credits)
CSE is a rapidly growing multidisciplinary area with connections to the sciences, engineering, mathematics, and computer science. CSE focuses on the development of problem-solving methodologies and robust tools for the solution of scientific and engineering problems. Please visit our website for more information: www.cs.mcgill.ca/prospective-students/graduate/msc_cse_option.
Master of Science (M.Sc.); Mathematics and Statistics (Non-Thesis) (45 credits)
The Department of Mathematics and Statistics offers programs with concentrations in applied mathematics, pure mathematics, and statistics leading to the master's degree (M.Sc.).The non-thesis option requires a project (16 credits) and eight approved courses of 3 or more credits each for a total of at least 29 credits.

Ph.D. Programs in Mathematics and Statistics

Doctor of Philosophy (Ph.D.); Mathematics and Statistics
The Department offers a course of studies leading to the Ph.D. degree. It differs substantially from the master’s programs in that the student must write a thesis that makes an original contribution to knowledge. The thesis topic is chosen by the student in consultation with the research supervisor. The thesis must be examined and approved by an internal examiner (normally the research supervisor), an external examiner and the Oral Examination Committee. The student must make an oral defense of the thesis before that Committee. In addition, the student has to pass comprehensive examinations.
Doctor of Philosophy (Ph.D.); Mathematics and Statistics — Bioinformatics
Bioinformatics research lies at the intersection of biological/medical sciences and mathematics/computer science/engineering. The intention of the Bioinformatics option is to train students to become researchers in this interdisciplinary field. This includes the development of strategies for experimental design, the construction of tools to analyze datasets, the application of modelling techniques, the creation of tools for manipulating bioinformatics data, the integration of biological databases, and the use of algorithms and statistics. Students successfully completing the Bioinformatics option at the Ph.D. level will be fluent in the concepts, language, approaches, and limitations of the field and will have the capability of developing an independent bioinformatics research program.
Taken from Programs, Courses and University Regulations 2013-2014 (last updated Jul. 18, 2013).

Mathematics and Statistics Admission Requirements and Application Procedures

Admission Requirements

In addition to the general Graduate and Postdoctoral Studies requirements, the Department requirements are as follows:

Master's Degree

The normal entrance requirement for the master's programs is a Canadian honours degree or its equivalent, with high standing, in mathematics or a closely related discipline in the case of applicants intending to concentrate in statistics or applied mathematics.

Applicants wishing to concentrate in pure mathematics should have a strong background in linear algebra, abstract algebra, and real and complex analysis.

Applicants wishing to concentrate in statistics should have a strong background in linear algebra and basic real analysis. A calculus-based course in probability and one in statistics are required, as well as some knowledge of computer programming. Some knowledge of numerical analysis and optimization is desirable.

Applicants wishing to concentrate in applied mathematics should have a strong background in most of the areas of linear algebra, analysis, differential equations, discrete mathematics, and numerical analysis. Some knowledge of computer programming is also desirable.

Students whose preparation is insufficient for the program they wish to enter may, exceptionally, be admitted to a Qualifying year.

Ph.D. Degree

A master's degree with high standing is required, in addition to the requirements listed above for the master’s program. Students may transfer directly from the master’s program to the Ph.D. program under certain conditions. Students without a master's degree, but with exceptionally strong undergraduate training, may be admitted directly to Ph.D. 1.

Application Procedures

McGill’s online application form for graduate program candidates is available at www.mcgill.ca/gradapplicants/apply.

See Application Procedures for detailed application procedures.

Additional Requirements

The items and clarifications below are additional requirements set by this department:
  • Research Proposal – in the proposal, applicants should clearly explain their choice of preferred research group(s) and specific research topics of particular interest (if any)
  • Applicants in pure and applied mathematics should provide a GRE score report, if available

For more details, please consult the website at www.math.mcgill.ca/students/graduate/application.

Application Deadlines

Canadian International Special/Exchange/Visiting
Fall: Jan. 15 Fall: Jan. 15 Fall: Same as Canadian/International
Winter: Sept. 15 Winter: Sept. 15 Winter: Same as Canadian/International
Summer: N/A Summer: N/A Summer: N/A
Taken from Programs, Courses and University Regulations 2013-2014 (last updated Jul. 18, 2013).

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