Health Data Analytics and Machine Learning
Develop skills in using cutting-edge quantitative methods to fully exploit complex data.
Develop skills in using cutting-edge quantitative methods to fully exploit complex health data.
Further your understanding of the statistical and machine learning models used to analyse and integrate complex and high-dimensional blocks of health data.
Apply your knowledge using real data sets on an extended and real-world research projects.
Course key facts
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Qualification
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MSc
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Duration
1 year
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Start date
October 2023
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Study mode
Full-time
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Fees
£14,050 Home
£40,800 Overseas
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Delivered by
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Location
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St Mary's
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Minimum entry standard 2023
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2:1 in mathematics, statistics, epidemiology or biology, or a medical degree
Course overview
Broaden your expertise in analysing health data on this Master's course.
You will gain expertise in developing, applying and interpreting results from cutting-edge statistical and machine learning approaches for analysing and integrating complex sets of data that are emerging in the health field.
Delivered by international experts in the field sharing real-world expertise and experiences,, this course will equip you with both a sound theoretical and practical understanding of the needs and utility of health data analytic tools.
You will address real and yet unresolved scientific questions through a variety of individual and group projects and you will produce work that adheres to international publication quality standards.
The programme has a strong technical component, and will provide you with the complementary training essential for a career in health data sciences.
You will be integrated and will contribute to the fast-emerging multidisciplinary and multicultural health data analytics community within Imperial and beyond.
Structure
You’ll take all of these core modules.
Core modules
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.
Use cutting edge methods in real life to analyse large data sets and publish a piece of research.
You’ll then further your expertise in the methodology used in translational data science.
Explore the complexity and specifics of clinical/medical data and learn how to build and query state-of-the-art databases.
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.
Learn more advanced statistical methods that are beyond those already introduced on the course, and explore issues using real-world examples.
Familiarise yourself with key topics in population health and explore the issues faced when measuring the health of entire populations.
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
Key
- Lectures, practical and seminars
- Independent study
- Research project
Terms 1 and 2
- 20% Lectures, practical and seminars
- 80% Independent study
- 0% Research project
Term 3
- 0% Lectures, practical and seminars
- 0% Independent study
- 100% Research project
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
Key
- Coursework
- Practical
- Written examinations
- 20% Coursework
- 35% Practical
- 45% Written examinations
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.
If you are applying for a taught Master’s course, you will need to pay an application fee before submitting your application.
The fee applies per application and not per course:
- £80 for all taught Master's applications excluding those to the Imperial College Business School
- £100 for all MSc applications to the Imperial College Business School
- £150 for MBA applications to the Imperial College Business School
There is no application fee for MRes courses, Postgraduate Certificates, Postgraduate Diplomas or research courses, such as PhDs and EngDs.
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.
Tuition fees
Home fee
2023 entry
£14,050
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, 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.
For 2022-23 entry, the maximum amount is £11,836. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Overseas fee
2023 entry
£40,800
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, 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.
For 2022-23 entry, the maximum amount is £11,836. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Your future career
Analyse high throughput medical and epidemiological data in depth using a strong methodological framework.
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Our graduates often pursue further study in master's programs or doctoral research.
You’ll be well-positioned to become an expert analyst in industry or join large data companies.
Aside from medicine, you'll also be highly sought after in alternative fields.
Common career paths include education, public administration, R&D, and technical consultancy.
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.
Register your interest
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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