Study Master of Science in Statistics [Thesis] at McMaster University in Canada,

Master of Science in Statistics [Thesis]

Canada

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What will I learn?

Statistics involves the collection, visualization, exploration, analysis and modelling of data as well as the development of theory, models and tools pertaining thereto. An interdisciplinary program that draws faculty members from five faculties and schools across McMaster offers students the opportunity to specialize in four different research areasAreas of ResearchMedical statistics (Biostastics)Applied statisticsStatistical theoryApplied probability

Study options

Full Time (16 Months)

Tuition fees
CAD$12,822.17 (US$ 9,216) per year
Residence Costs- Single Room- 10,100 Full Year Fee (CAD)

*Price shown is for indicative purposes, please check with institution

Start date

September 2027

Venue

Hamliton Campus (Main Campus)

1280 Main Street West,

Hamilton,

Ontario,

L8S4L8, Central Canada, Canada

Entry requirements

For international students

Transcripts: Upload your transcript(s) to your online application. We will review only those applications that have transcripts attached to them. Students who accept an offer will need to provide official transcripts sent directly from the issuing institution. If the final transcript does not show that a completed degree has been conferred, an official/notarized copy of the diploma is also required.Statement of Interest: A one-page summary describing the area of Mathematics or Statistics that you wish to study. This statement helps faculty members identify prospective graduate students.

*There may be different IELTS requirements depending on your chosen course.

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About McMaster University

McMaster University is a global leader in innovative teaching, hands-on learning, and groundbreaking research that shapes the future.

  • Top 1 percent of universities worldwide (CfWU 2025)
  • 87 percent graduate employment rate
  • #1 in Canada for student services (Maclean’s 2026)
  • International scholarships and bursaries available

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