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Statistics MSc

Master the science of data and uncertainty. Learn to develop advanced statistical and machine learning methods so you can deliver innovative, data-driven solutions to real-world problems.

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Start date(s):

  • September 2025
On campus Postgraduate Open Day. Wednesday 5 February, 12pm to 5pm. Sign up now

Overview

Statistics and probability are the cornerstones of modern data science, machine learning, and artificial intelligence. As these skills become increasingly important across various fields, our Statistics MSc programme will equip you with the knowledge and expertise needed for your career.

Through this degree, you’ll embark on your journey to master statistics. Take your understanding to new depths, while challenging yourself with finding data-driven solutions to real-world problems.

This Statistics MSc offers a unique blend of graduate training in statistics and probability, as well as their practical application. You’ll explore a wide range of advanced topics and will gain a comprehensive understanding of the discipline. Our curriculum is designed to develop your expertise in cutting-edge research, allowing you to foster innovation and stay at the forefront of your chosen field.

A key feature of this programme is the dissertation project. You’ll bridge the gap between academic theory and real-world application. You’ll work directly with both industry leaders and our esteemed academics who are pioneers in their discipline. Through this hands-on experience, you will:

  • tackle real challenges faced by companies and researchers
  • build a professional network
  • gain invaluable experience that will set you apart in your career

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Important information

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Qualifications explained

Find out about the different qualification options for this course.

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.

Exposure to various application areas and the choice of specialisms for in-depth study will further enhance your learning experience.

Your dissertation project will position you as a well-rounded expert, ready to contribute meaningfully to any organisation or research institution.

Modules

You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.

How you'll learn

Your development

You'll develop your essential skills and experience throughout your course.

You’ll learn professional skills needed for your career including critical thinking, problem-solving, and communicating complex insights. You’ll also master research skills through an extended dissertation project. You’ll use advanced statistical theory and apply computational tools to real-world problems.

You’ll also develop practical skills in data storage, manipulation, and presentation using statistical software, along with the ability to effectively communicate insights.

Your future

Your career

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

Further study

This course provides a route into PhD level study in various fields, depending on your choice of optional modules. Examples include:

  • statistical methodology
  • probability theory
  • applied statistical science

Our Careers Service

Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.

Visit our Careers Service website

Quality and ranking

All professional accreditations are reviewed regularly by their professional body

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 2025 entry (per year)

What you're paying for

Tuition fees include the costs of:

  • matriculation
  • registration
  • tuition (or supervision)
  • library access
  • examination
  • re-examination
  • graduation

Find out more about:

Search for funding

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Entry requirements

The entrance requirements below apply to 2025 entry.

Qualifications from outside the UK

English Language requirements

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.

University Admissions Policy and related policies and procedures

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

How to apply


Using the application portal

The application portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them.

You can choose to start your application, save your details and come back to complete it later.

 

If you’re ready, you can select Apply Online and you’ll be taken directly to the application portal.

Alternatively you can find out more about applying on our applications and offers pages.


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Get in touch

Questions about this course?

If you have specific questions about this course you can contact:

Email: maths.physics@ncl.ac.uk
School of Mathematics, Statistics and Physics
ncl.ac.uk/maths-physics

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