Statistics (Master's) is a master's degree in Applied Mathematics & Statistics programme offered by Université Laval in Québec, Canada. The programme runs for 2 years. Tuition is CAD 104 per credit for local students.
At a glance
Degree:Master's Degree
Field:Applied Mathematics & Statistics
Duration: 2 years
Local tuition: CAD 104 / credit
We have no an application deadline on record for this programme yet — see the official programme page.
— it helps other students.
This Master of Science in Statistics develops advanced competencies in statistical analysis, modelling, and data-driven decision-making. Students choose between two orientations: fundamental statistics, which emphasizes theoretical depth and prepares students for further research, and applied statistics, which focuses on contemporary methods used across scientific, industrial, and social-science domains. The programme totals 45 credits and takes an estimated two years to complete on a full-time basis. Coursework is supported by statistical-consultation seminars and dedicated computing facilities, and students work with a research director from their first term of enrolment. Instruction is delivered mainly in French; students need a working knowledge of a second language, generally English, to access the field's literature. Graduates are prepared for roles in statistical analysis, data science, and research support across academic, government, and private-sector settings, or for continuing into doctoral study.
Requirements
Minimum GPA:2.67 / 4.33
Admission Requirements: Applicants need a bachelor's degree in statistics or in mathematics with a statistics orientation, or an equivalent diploma. Candidates whose degree is in a field where statistics is an important methodological tool may also apply if they have a basic grounding in statistics along with working knowledge of differential and integral calculus, linear algebra, and computing. A minimum GPA of 2.67 on a scale of 4.33 is required, and additional preparatory undergraduate courses (scolarite preparatoire) may be imposed if prior training is judged insufficient. Applicants must secure a thesis supervisor within their first term of enrolment.
