Skip to main content

Medical Statistics MSc

Become an expert in quantitative healthcare. Solve real medical problems using data-driven solutions in clinical trials, computer-aided pharmaceutics and statistical epidemiology. 

You are currently viewing course information for entry year:


Start date(s):

  • September 2025
Virtual Open Day. Wednesday 27 November. 10.30 - 13.00 & 16.00 - 18.30 (GMT)

Overview

As medical data continues to grow, this specialist Master’s degree will equip you with the expertise to analyse and interpret medical data effectively. You’ll learn how to harness this growing resource and tackle complex medical challenges with confidence.

Our Medical Statistics MSc is ideal for anyone looking to build a career in the medical and health sciences industries. You’ll graduate with an advanced understanding of statistical methods and data science.

You’ll also learn how to:

  • design efficient clinical studies which give high-quality evidence
  • use data to evaluate the effectiveness and safety of new drugs
  • apply causal inference methods to ensure robust answers to important health questions

Newcastle University has a long-standing history in medical research, and our expertise are globally recognised.

During your degree, you’ll explore topics such as:

  • clinical trials
  • epidemiology and causal inference
  • health economics and decision theory

For your dissertation project, you'll work with leading academics who are actively involved in high-profile medical statistics research. They're well-connected to the medical and health sciences field.

Our leading reputation and strong ties to industry mean you’ll learn from guest speakers from prominent international medical and health sciences companies.

READ MORE

Important information

We've highlighted important information about your course. Please take note of any deadlines.

Qualifications explained

Find out about the different qualification options for this course.

What you'll learn

Semester 1

Our bespoke modules in Semester 1 will introduce you to forward-thinking topics in data science and statistics. You’ll develop an understanding of:

  • statistical methodology
  • probabilistic reasoning

You’ll learn practical skills in:

  • data management
  • data integration
  • data handling

Semester 2

You'll build on your learning from Semester 1 with advanced modules to develop your expertise in a broad range of computational and statistical methods. You’ll also gain a strong foundation in applied statistics in medicine, equipping you to solve complex data analysis problems in medical settings.

Semester 3

In the final phase of your course, you’ll undertake a dissertation project. You’ll work with experts from the Faculty of Medical Sciences or one of our industry partners. You'll apply your learning to a cutting-edge, real-world medical and health sciences project.

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

Research skills

You’ll develop your essential research skills, including proposing, executing, and reporting on an extended research project.

You'll gain a deep understanding of mathematical and statistical theory and how to apply specific computational and statistical tools to real-world data analysis problems.

You'll also learn to construct and analyse statistical models to address applied data-based questions.

Practical skills

You’ll gain practical skills to:

  • critically evaluate research
  • store, manipulate, and present data
  • apply statistical software for data analysis and interpretation
  • communicate data analysis insights to diverse audiences

Your future

Your career

This Medical Statistics MSc can provide a pathway to various careers in:

  • public health
  • pharmacy
  • life sciences
  • medical research

Potential roles for graduates with medical statistics expertise include: 

  • Medical Statistician
  • Drug Developer
  • Data Scientist
  • Clinical Trials Statistician
  • Biostatistician
  • Epidemiologist
  • Public Health Analyst

Further study

For those interested in an academic career, this degree provides a route into PhD level study in a wide range of fields, depending on your choice of optional modules.

As a medical statistics graduate, you can focus on advanced research in statistical methods and their applications in healthcare and medicine. Examples include:

  • biostatistics
  • trials methodology
  • epidemiology
  • health data science
  • pharmaceutical statistics
  • health technologies assessments 
  • AI and machine learning in healthcare

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

Find funding available for your course

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.


Apply Online  

Open days and events

Find out about how you can visit Newcastle in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Newcastle University.

Visit our events calendar for the latest events

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

Online

For more general enquiries you could also complete our online enquiry form.

Fill in our enquiry form

Live chat

Our Ncl chatbot might be able to give you an answer straight away. If not, it’ll direct you to someone who can help.

You'll find our Ncl chatbot in the bottom right of this page.

Keep updated

We regularly send email updates and extra information about the University.

Social media

Get invloved with the School of Computing social media.