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
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.
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Important information
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See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
Qualifications explained
Find out about the different qualification options for this course.
An MSc is a taught Master’s degree. It usually involves the study of a science-related subject.
You'll usually study an MSc full-time over 12 months.
A Master of Science is typically awarded for the successful completion of 100 credits of taught modules and an 80-credit dissertation or research project.
Find out about different types of postgraduate qualifications.
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.
Module information is intended to provide an example of what you will study.
Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.
To find out more please see our terms and conditions.
Optional modules availability
Some courses have optional modules. Student demand for optional modules may affect availability.
Compulsory modules
- Graduate Foundations of Statistics and Data Science (30 credits)
- Graduate Foundations of Probability and Mathematical Statistics (30 credits)
- Clinical Trials with Advanced Topics (10 credits)
- Decision Modelling for Health Data Science with Advanced Topics (10 credits)
- Advanced Topics in Medical Statistics and Health Data Science (10 credits)
You must choose one of the following modules:
- Dissertation In Medical Statistics (60 credits)
- Industrial Dissertation in Statistics and Data Science (60 credits)
Optional modules
You must choose 30 credits from the following list of optional modules:
- Clinical Trials with Advanced Topics (10 credits)
- Decision Modelling for Health Data Science with Advanced Topics (10 credits)
- Advanced Topics in Medical Statistics and Health Data Science (10 credits)
- Statistical Foundations of Machine Learning with Advanced Topics (10 credits)
- Experimental Design with Advanced Topics (10 credits)
- Probability Theory with Advanced Topics (10 credits)
- Extreme Value Theory with Advanced Topics (10 credits)
- Sports Modelling with Advanced Topics (10 credits)
- Survival Analysis with Advanced Topics (10 credits)
- Time Series with Advanced Topics (10 credits)
- Stochastic Financial Modelling with Advanced Topics (10 credits)
- Statistical Genetics with Advanced Topics (10 credits)
- Advanced Topics in Statistics and Data Science (10 credits)
How you'll learn
You’ll be taught using a range of methods, including:
- lectures
- seminars
- practical computer lab sessions
- group work
This Master’s will be delivered by experts from the:
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
Over the summer semester, you’ll carry out a dissertation project. This is a substantial piece of independent work supervised by an academic in the Faculty of Medical Sciences, or an industrial partner from the medical and health sector.
In your project, you'll use statistical techniques to address a medical application.
You'll be assessed through a:
- written interim project plan
- poster presentation
- final written dissertation
Numbas learning software
You'll have access to a specialist learning software called Numbas. It was developed at Newcastle University and is now used by mathematicians and statisticians worldwide.
This innovative software allows you to work on interactive code worksheets, so you can test and refine your skills during your programme.
Specialist software and tool support
You'll have support from our award-winning Digital Learning Team, who can assist you with the specialised software and tools you need for the programme.
Your teaching and learning is also supported by Canvas. Canvas is a Virtual Learning Environment. You'll use Canvas to submit your assignments and access your:
- module handbooks
- course materials
- groups
- course announcements and notifications
- written feedback
Throughout your studies, you’ll have access to support from:
- peers
- academics
- personal tutors
- our University Student Services Team
- student representatives
You'll also be assigned an academic member of staff. They will be your personal tutor throughout your time with us. They can help with academic and personal issues.
The Medical Statistics MSc is delivered jointly by the:
The degree is delivered by experts working at the frontier of a wide range of statistical and medical research areas.
You'll work alongside academics from the following research groups:
- Statistics: World-class research in modern statistics and data science.
- Biostatistics: Over 30 statisticians working in developing and applying innovative methods in clinical trials and observational studies.
- Health Economics: A large group exploring economic evaluation, complex modelling, and valuation of health outcomes in a variety of settings.
Newcastle University is also home to the UK’s National Innovation Centre for Data (NICD). This gives you unique opportunities to collaborate with industry partners across multiple sectors.
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.
Quality and ranking
All professional accreditations are reviewed regularly by their professional body
From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK
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)
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.
Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.
EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support.
If you are unsure of your fee status, check out the latest guidance here.
Scholarships
We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our searchable postgraduate funding page for more information.
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:
If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.
You can check this in the How to apply section.
If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.
For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.
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
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Alternatively you can find out more about applying on our applications and offers pages.
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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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