Memorial University of Newfoundland’s Department of Mathematics and Statistics - Applied Statistics is a dynamic and rapidly growing academic unit, with over 20% of faculty holding the prestigious title of University Research Professor. The department emphasizes cutting-edge research and innovative teaching in areas such as Numerical Analysis, Scientific Computation, Mathematical Analysis, Combinatorics, Topology, Applied Statistics, Differential Equations, Dynamical Systems, Mathematical Modeling, Numerical Optimization, Algebra, Mathematical Physics, Fluid Mechanics, and Mathematical Statistics. The department’s focus on research excellence and diverse expertise makes it an ideal environment for advanced study and professional development in applied mathematics and statistics.

  • St. John's, Newfoundland and Labrador, Canada
  • 1 year
  • On Campus
  • ₹68,468/Year

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Program Overview

Memorial University of Newfoundland’s Department of Mathematics and Statistics - Applied Statistics is a dynamic and rapidly growing academic unit, with over 20% of faculty holding the prestigious title of University Research Professor. The department emphasizes cutting-edge research and innovative teaching in areas such as Numerical Analysis, Scientific Computation, Mathematical Analysis, Combinatorics, Topology, Applied Statistics, Differential Equations, Dynamical Systems, Mathematical Modeling, Numerical Optimization, Algebra, Mathematical Physics, Fluid Mechanics, and Mathematical Statistics. The department’s focus on research excellence and diverse expertise makes it an ideal environment for advanced study and professional development in applied mathematics and statistics.

QS World Ranking

Not Available in Not Available

Class Size

400 Students

Key Features

Specializations Available

AI/ML, Systems, Theory, Human-Computer Interaction

Research Opportunities

Access to cutting-edge research labs and industry partnerships

Admission Requirements

Duolingo English Test

125.0

Key Dates

Application Start time & Deadline

Starting 2026-09-01

Apply before 2125-04-18

Program Start

Unknown

Programme Structure

The Master of Applied Statistics is a highly structured program incorporating both courses and an applied statistics project. A full-time student normally requires one year to complete the degree requirements. This program accepts new students only in the Fall semester.

Program Highlights

  • Comprehensive curriculum covering all key topics
  • Hands-on projects and real-world case studies
  • Expert faculty with industry experience
  • Career support and placement assistance

Academic Requirements

No academic requirements found.

English Language Requirements

Duolingo English Test
125.0
Overall Score

Additional Requirements

    Applicants must complete the online application process, submit official transcripts via post or courier, provide two letters of recommendation, pay a non-refundable application fee, and demonstrate proficiency in English through standardized tests or other accepted proof. Additional prerequisites or specific requirements may apply depending on the chosen program. Prospective students should review program-specific prerequisites and ensure all documentation is submitted by the application deadline.

Course Fees

₹68,468/Year
Annual Fee

1 year
Total Duration

Living Costs

    No Living costs available.

University Scholarships

No University Scholarships Available

External Scholarships

Rochelle Nicolette Perry Memorial Scholarship

N/A

Amount

1250 USD

Deadline

Not specified

Organization of American States (OAS) Academic Scholarship Program

N/A

Amount

Various benefits

Deadline

Not specified

Master's Scholarship

N/A

Amount

Various benefits

Deadline

Not specified

Denise Halbach Performance Scholarship

N/A

Amount

2000 USD

Deadline

15 Apr 2025

Thomas Jefferson Prize in United States History

N/A

Amount

300 EUR

Deadline

Anytime

Eligibility Requirements

    No Eligibility Requirements Available

Application Process

    No Application Steps Available

News About Abroad

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