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PhD in Statistics

PhD in Statistics

University of Canterbury

Duration

4 years

Intake

Degree

PhD

Program Overview

A PhD in Statistics is designed for students who want to move beyond learning existing methods and start creating new ones. It’s a research-driven program that focuses on solving real-world problems using data, mathematical models, and advanced analytical thinking. From the beginning, you’ll work closely with academic supervisors, developing your own research direction while building expertise in areas such as data science, probability theory, machine learning, and statistical inference.

What makes this program especially valuable for international students is its strong balance between theory and application. You’re not just working with formulas—you’re applying statistical thinking to fields like healthcare, finance, technology, business analytics, and public policy. Throughout your PhD journey, you’ll gain hands-on experience with large datasets, modern statistical tools, and research methodologies that are highly demanded across industries worldwide.

Universities in top study destinations offer well-structured PhD programs in Statistics with access to research labs, funding opportunities, and global academic networks. Students are encouraged to publish their work, attend international conferences, and collaborate on impactful research projects, helping them build a strong academic and professional profile.

A PhD in Statistics opens doors to careers in academia, research institutions, data science roles, government agencies, and leading global companies. It is an ideal choice for students who enjoy working with data, thinking critically, and contributing to knowledge that can shape decisions, industries, and future innovations.

Key Information

University

University of Canterbury

Campus

Total Credits

360 points

Study Mode

Full-time

Loan Availability

No

Program Details

Duration

4 years

Tuition Fee:

Approx. NZD 7,500 – 8,500 annually

Format

Full-time

Attendance:

On Campus Learning

Study Gap:

10 years

Fees & Funding:

  • The ‘Tuition fee total’ is an estimate only. Your total study cost will depend on the courses you choose, and will include additional costs such as student levies, insurance, retakes, and other course-related costs. 
  • International and national students: $8,570 - $10,321 (subject-dependent) per 120 points

Course Structure

Full time study
Year 1
Statistical methodology research and literature review
Year 2
Data modelling and algorithm development
Year 3
Research publication and thesis writing

Part time study
Years 1–2
Research proposal and theoretical modelling
Years 3–4
Applied statistical research
Years 5–6
Final thesis submission

Courses include
Statistical Modelling
Data Science Research Methods
Bayesian Analysis
Doctoral Thesis in Statistics

Entry Requirement

Academic

Master’s degree in Statistics, Mathematics, or Data Science

Language

IELTS - Minimum score of 6.5, no band below 6.0

PTE - Minimum score of 58, no communicative skills below 50

TOEFL - Minimum score of 90, with no section below 20

How To Apply

Quick flow:

Course → Apply → Offer → Visa → Travel → Study

Check Your Eligibility

Find out if you meet the requirements for this program in just a few minutes.

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