Health Data Analytics and Machine Learning
Develop skills in using cutting-edge quantitative methods to fully exploit complex data.
Develop a skillset in Statistics, Machine Learning, and Artificial Intelligence to fully exploit complex health data and perform rigorous big data analyses.
Analyse and integrate complex and high-dimensional blocks of health data with cutting-edge quantitative methods.
Apply your knowledge to extended real-world large scale research projects supervised by leading academics and industry experts.
Course key facts
Qualification
MSc
Duration
1 year
Start date
September 2026
Study mode
Full-time
-
Fees
£16,300 Home
£47,300 Overseas
Delivered by
Location
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Hammersmith
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White City
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Minimum entry standard
2:1 in mathematics, statistics, epidemiology or biology, or a medical degree
Course overview
Broaden your expertise in analysing health data in this Master's course.
You will gain expertise in developing, applying and interpreting results from cutting-edge statistical, machine learning, and artificial intelligence approaches for analysing and integrating complex sets of data that are emerging in the health field.
The course is delivered by international experts. They leverage their extensive experience to design materials which better equip you to handle the complexity of real-world health data. Lectures provide rigorous and accessible theoretical background to the advanced methodology. Each lecture is paired with a hands-on session which applies the theoretic concepts to real-world data. This strong technical component will prepare you for a career in health data sciences.
You will apply the cutting-edge skills you gain to unexplored scientific questions with potential real-world impact. Through closely supervised individual and group projects, you will learn how to perform rigorous research to international publication standard. You will be integrated into a world-leading academic or industrial research team for your final project. This capstone project will give you demonstrable experience applying the comprehensive skillset from the course in a role as a data expert.
Structure
This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.
Find out more about potential course changes.
Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.
You’ll take all of these core modules.
Core modules
Learn about the core principles of modern AI, from generative models to large language models (LLMs), with a focus on their applications in health sciences.
Understand the importance of statistical thinking in epidemiology, randomised trials and public health and learn how to critically evaluate the results of standard statistical analyses.
Become familiar with core concepts of epidemiology and acquire the skills necessary to describe, analyse, interpret and appraise epidemiological studies.
Engage with the emerging field of molecular epidemiology and analyse the recent advances in biotechnology that have helped revolutionise epidemiologic studies.
Develop the basics of rigorous and reproducible research implementation over two terms. Start by establishing a base of the key skills and tools used in Data Science for reproducible research. Topics include: Github, Bash Scripting, Parallel Programming, and High Performance Computing.
Gain an understanding of the complexity and specifics of clinical/medical data, database design, data security and sharing, data anonymization, and simulation with hands-on experience creating and query databases with SQL, anonymizing data with Python
Uncover the principles of machine learning, their key methodological concepts, and the main tools their implementation relies on.
Advance your understanding of computational epidemiology and learn about novel approaches for interpretable data analysis and integration.
Apply the computational skills from the first part to cutting-edge methods to answer novel research questions with real-life large datasets. You will perform a closely-supervised extended group project where you develop a research idea of your creation to a publishable standard.
You’ll carry out an extensive individual research project during the third term (4 months full-time research.
During this project, you’ll apply advanced techniques you have been taught to real data sets.
You’ll be supervised through the process of conceiving, delivering and assessing a high standard scientific publication, with your work assessed by a paper-style report and oral examination.
Teaching and assessment
Balance of teaching and learning
This is a general guide to how teaching and learning are usually balanced across this course. The methods used may change based on the modules you take.
Key
- Lectures, practical and seminars
- Independent study
- Research project
Terms 1 and 2
- 30% Title 1 goes here
- 5% Title 2 goes here
- 65% Title 3 goes here
Term 3
- 0% Title 1 goes here
- 100% Title 3 goes here
Teaching and learning methods
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Lectures and practicals
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Seminars and technical tutorials
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Small group tutorials
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Group work
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Computing-based practicals
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Research projects
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Presentations and peer evaluations
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Virtual learning environment
Balance of assessment
This is an example of how assessments are usually divided, based on a typical pathway through the course. The actual breakdown may vary depending on the modules you choose.
Key
- Coursework
- Practical
- Written examinations
- 10% Title 1 goes here
- 20% Title 2 goes here
- 70% Title 3 goes here
Assessment methods
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Written examinations
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Oral presentations
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Online quizzes
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Short answer essay questions
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Real case analyses reports
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Final research paper
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Research plan
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Project journal and log
Entry requirements
We consider all applicants on an individual basis, welcoming students from all over the world.
How to apply
Apply online
You can submit one application form per year of entry. You can choose up to two courses.
There is no application fee for Postgraduate Certificates, Postgraduate Diplomas, or courses such as PhDs and EngDs.
If you are applying for a Master’s course, you will need to pay an application fee before submitting your application.
The fee applies per application and not per course.
The application fees for postgraduate courses are:
- £90 for all Master's applications, excluding those to Imperial Business School
- £125 for MSc applications to Imperial Business School
- £150 for MBA applications to Imperial Business School
If you are facing financial hardship and are unable to pay the application fee, we encourage you to apply for our application fee waiver.
Find out more about how to apply for a Master's course, including references and personal statements.
An ATAS certificate is not required for students applying for this course.
Fees and funding
Home fee - Standard SPH courses (Epidem, Public Health MPH, Health Data)
2026 entry
£16,300
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the university, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a Postgraduate Master’s Loan from the UK government, if you meet certain criteria.
The maximum value of the loan is £12,858 for courses starting on or after 1 August 2025.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Please note:
- The loan is only available if you’re studying a full Master’s course from the start.
- If you start on a Postgraduate Certificate (PG Cert) or Postgraduate Diploma (PG Dip) and later move on to the Master’s, you won’t be eligible for this loan.
Overseas fee - Standard SPH courses (Epidem, Public Health MPH, Health Data)
2026 entry
£47,300
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the university, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a Postgraduate Master’s Loan from the UK government, if you meet certain criteria.
The maximum value of the loan is £12,858 for courses starting on or after 1 August 2025.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Please note:
- The loan is only available if you’re studying a full Master’s course from the start.
- If you start on a Postgraduate Certificate (PG Cert) or Postgraduate Diploma (PG Dip) and later move on to the Master’s, you won’t be eligible for this loan.
Scholarships
View all scholarshipsSchool of Public Health Master's Scholarships
Value per award
- Full tuition fee bursary for selected on-campus and online Master's programmes.
Who it's for
- Prospective students
How will studying at Imperial help my career?
You will acquire some of the most in-demand hard skills including coding, data analysis, machine learning, and AI.
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You will acquire some of the most in-demand soft skills including problem-solving, communication, teamwork, and the ability to learn and adapt.
You will gain a specific skillset relevant to fast-growing industries such as Data Science, Healthcare, Pharmaceutical, Medicine, Life Science and Biotech.
You will gain a transferrable skillset in demand in fast-growing industries such as Finance, Retail, and Energy.
You will have ample local employment opportunities as London is the leading biotech capital of Europe with over 400 companies and research institutions generating over £11B in revenue.
Further links
Contact the department
Course Directors: Professor Marc Chadeau-Hyam and Professor Paul Elliot
Course Organiser: Dr Sabrina Andrade Rodrigues
Visit the School of Public Health website.
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Register your interest
Stay up to date on news, events, scholarship opportunities and information related to this course.
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Events, tasters and talks
Meet us and find out more about studying at Imperial.
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Terms and conditions
There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.
You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.
Programme specifications