## 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;
- 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 provides extensive information on the Department and its facilities, including the research activities and research interests of individual faculty members. It also provides detailed supplementary information concerning our programs, admissions, funding of graduate students, thesis requirements, advice concerning the choice of courses, etc.

Students are urged to consult the *Institut des Sciences Mathématiques* (ISM) website, 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 *Faculty of Arts* > *Graduate* > *Academic Programs* > *Mathematics and Statistics*.

Master of Arts (M.A.); Mathematics and Statistics (Thesis) (45 credits) |
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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 and six approved courses. |

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 and eight approved courses. |

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

Detailed program requirements for the following M.Sc. programs are found in *Faculty of Science* > *Graduate* > *Academic Programs* > *Mathematics and Statistics*.

Master of Science (M.Sc.); Mathematics and Statistics (Thesis) (45 credits) |
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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 and six approved courses. |

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. |

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 and eight approved courses. |

**Ph.D. Programs in Mathematics and Statistics**

Doctor of Philosophy (Ph.D.); Mathematics and Statistics |
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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. |