Health Data Analytics and Machine Learning
  • Postgraduate taught
  • MSc

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

  • Qualification

    • MSc

  • Duration

    1 year

  • Start date

    September 2024

  • Study mode


  • Fees

    • £14,900 Home

    • £43,250 Overseas

  • Delivered by

  • Location

    • Hammersmith

    • White City

Minimum entry standard

  • 2:1 in mathematics, statistics, epidemiology or biology, or a medical degree

View full entry requirements

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.


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

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


  • 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

  • Person at lectern giving speech
    Lectures and practicals
  • Person giving seminar
    Seminars and technical tutorials
  • Small group tutorials
  • A group of people interacting
    Group work
  • Computing-based practicals
  • Research projects
  • Presentations and peer evaluations
  • Blackboard virtual learning environment
    Virtual learning environment

Balance of assessment


  • Coursework
  • Practical
  • Written examinations

  • 20% Coursework
  • 35% Practical
  • 45% Written examinations

Assessment methods

  • A person completing a written exam
    Written examinations
  • Oral presentations
  • In-class quiz
    Online quizzes
  • Short answer essay questions
  • Real case analyses reports
  • Final research paper
  • Research project proposal document
    Research plan
  • Papers from a written report
    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.

Tuition fees

Home fee

2024 entry


Overseas fee

2024 entry



SPH Masters Scholarship

Who it's for

  • All students who make an application to the School of Public Health.
Find out more

The Dean’s Master’s Scholarships

Value per award

  • £10,000

Who it's for

  • All students applying to study a Faculty of Medicine Master’s programme beginning in October 2024
Find out more

How will studying at Imperial help my career?

Chemistry research on computer screen

Analyse high throughput medical and epidemiological data in depth using a strong methodological framework.

Graduate Cap above rolled Degree

Our graduates often pursue further study in master's programs or doctoral research.

Consultant with a speech bubble

You’ll be well-positioned to become an expert analyst in industry or join large data companies.

Person holding a briefcase climbing steps

Aside from medicine, you'll also be highly sought after in alternative fields.

Teacher in front of classroom

Common career paths include education, public administration, R&D, and technical consultancy.

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.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications