University of Regina

Canada
4 Scholarships 53 Programs 3 Degree levels
Masters

Statistics

Offered at University of Regina, Canada
DegreeMasters
FieldMSc Statistics
Duration1 year
Tuition29675.00

Overview

The M.Sc. in Statistics at the University of Regina builds advanced skills in probability, statistical inference, and data-driven modelling. You can complete the degree through a thesis-based research pathway or a course-based option, depending on your academic and career goals.

About this programme

Overview

The Master of Science (M.Sc.) in Statistics at the University of Regina is designed to equip students with advanced skills in probability, statistical inference, and data-driven modeling. Students can choose between a thesis-based research pathway or a course-based option, allowing them to tailor their educational experience to align with their academic and career aspirations.

  • Degree: Master of Science (M.Sc.) in Statistics
  • Duration: Typically 12 months (may vary depending on chosen pathway and course load)
  • Study mode: In-person (on-campus)
  • Language of instruction: English
  • Application fee: Non-refundable fee applicable at the time of application

What you'll study

The M.Sc. in Statistics program offers a comprehensive curriculum that includes advanced coursework and, depending on the selected pathway, a thesis or structured course completion. Key areas of study encompass:

  • Probability
  • Statistical Inference
  • Statistical Modeling (including dependence and extremes)
  • Stochastic Processes
  • Generalized Linear Models
  • Real Analysis
  • Complex Analysis
  • Linear Algebra
  • Partial Differential Equations
  • Additional graduate electives in mathematics/statistics

Research component (thesis stream)

  • Engagement in a supervised thesis project centered on original research.
  • Regular consultations with a supervisor and thesis committee.

Course-based pathway (course stream)

  • Completion of a designated set of graduate courses and program requirements.
  • Assessment may encompass a comprehensive evaluation component, depending on departmental guidelines.

Entry requirements

  • Academic background: A four-year bachelor’s degree (or equivalent) is required for admission to the master’s program.
  • Academic transcripts: Submission of official transcripts from all post-secondary institutions attended.
  • References: Provision of reference forms as stipulated in the application process.
  • Statement of interest: A personal statement outlining your goals and motivations for pursuing graduate studies.
  • Resume: An updated CV or resume detailing relevant experience.
  • GRE: Recommended for international applicants, particularly those taking the discipline-specific subject test.
  • Application form: Completion of the online application is necessary.
    • Application fee: Non-refundable fee applicable at the time of application.

Career prospects

Graduates of the M.Sc. in Statistics are well-equipped to pursue a variety of career paths in fields such as data analysis, market research, biostatistics, and academia. With the growing demand for data-driven decision-making in numerous industries, this program prepares students to excel in roles that require strong analytical and statistical skills.

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Programme details are indicative and may change — always verify current information with the official university website before applying.