Program Overview

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Overview

The Statistics MSc programme at Newcastle University is designed to equip students with the knowledge and expertise needed to master statistics and deliver innovative, data-driven solutions to real-world problems. The programme offers a unique blend of graduate training in statistics and probability, as well as their practical application.

What You'll Learn

You'll develop an understanding of fundamental statistics and probability, while gaining practical skills in data management, integration, and handling. You'll also gain expertise in a broad range of computational and statistical methods for solving complex data analysis problems.

Modules

You will study modules on this course, including:

• Graduate Foundations of Statistics and Data Science
• Graduate Foundations of Probability and Mathematical Statistics
• Dissertation in Statistics
• Industrial Dissertation in Statistics and Data Science
• Optional modules, such as:
  • Clinical Trials with Advanced Topics
  • Decision Modelling for Health Data Science with Advanced Topics
  • Advanced Topics in Medical Statistics and Health Data Science
  • Foundations of Machine Learning with Advanced Topics
  • Experimental Design with Advanced Topics
  • Extreme Value Theory with Advanced Topics
  • Survival Analysis with Advanced Topics
  • Time Series with Advanced Topics
  • Stochastic Financial Modelling with Advanced Topics
  • Statistical Genetics with Advanced Topics

How You'll Learn

You'll be taught using a range of methods, including:

• Lectures
• Seminars
• Practical computer lab sessions
• Group work
• Project work Teaching will be delivered by experts from the School of Mathematics, Statistics, and Physics.

Assessment Methods

Depending on your modules, you'll be assessed through a combination of:

• Case study
• Computer assessment
• Dissertation
• Oral presentation
• Poster
• Problem-solving exercises
• Report
• Written examination
• Written exercise

Your Development

You'll develop your essential skills and experience throughout the course, including:

• Critical thinking
• Problem-solving
• Communicating complex insights You'll also master research skills through an extended dissertation project, using advanced statistical theory and applying computational tools to real-world problems.

Your Future

Through our strong industry connections, fostered by both our research and degree programme, you'll gain valuable insights and opportunities to explore diverse career paths. Our Statistics MSc prepares you for a wide range of careers involving statistics and data science, fundamental in areas such as:

• AI development
• Finance
• Consultancy
• Healthcare
• Research You could pursue a career in roles such as:
  • Data Scientist
  • Statistician
  • Biostatistician
  • Data Analyst
  • Risk Analyst
  • Machine Learning Engineer

Quality and Ranking

• 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
• 65% increase in research power since 2014 – Research Excellence Framework 2021
• Global Top 140 University – QS World University Rankings 2026
• Global Top 160 University - Times Higher Education World University Rankings 2025
• Top 200 for Statistics and Operational Research – QS World University Rankings by Subject 2025
• Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024

Facilities

You'll have access to our facilities in the School of Mathematics, Statistics, and Physics, including our computer cluster and new Learning Lab. Collaborations with the National Innovation Centre for Data (NICD) and other industry partners will also enhance your learning experience.

Fees and Funding

Tuition Fees for 2026 Entry (per year)

• Home students: £14,800
• International students: £32,700 Tuition fee increases: As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships.

Entry Requirements

Academic Entry Requirements

A 2:1 BSc honours degree, or international equivalent, in mathematical sciences or another quantitative degree with a formal mathematical component. Examples include, but are not limited to, computer sciences, economics, engineering, and similar disciplines.

English Language Requirements

Select your qualification:

• IELTS
• Pearson
• Duolingo English Test
• TOEFL
• Other
• Pre-Sessional Entry - 6 weeks
• Pre-Sessional Entry - 10 weeks

Admissions Policy

This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.

Credit Transfer and Recognition of Prior Learning

Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills, and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course.