Overview
This Master's programme offers an in-depth exploration of health data analytics, focusing on the application of statistical methods, machine learning, and artificial intelligence to complex health datasets. With a curriculum designed by leading experts in the field, students will gain hands-on experience in analysing and interpreting data that can significantly influence health outcomes.
Why Health Data Analytics and Machine Learning at Imperial?
Imperial College London is renowned for its strong emphasis on research and innovation. The university consistently ranks among the top institutions globally, providing students with access to cutting-edge resources and facilities. Collaborations with industry leaders and research institutions enhance the learning experience, ensuring that students are well-prepared for the demands of the health data landscape.
Tuition Fee Breakdown
The tuition fees for the MSc in Health Data Analytics and Machine Learning are as follows:
- National Students: £15,500 per year
- International Students: £45,000 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum includes a variety of core modules that equip students with essential skills:
- Artificial Intelligence for Health Sciences
- Introduction to Statistical Thinking and Data Analysis
- Principles and Methods of Epidemiology
- Molecular Epidemiology
- Translational Data Science Part 1
- Clinical Data Management
- Machine Learning
- Computational Epidemiology
- Translational Data Science Part 2
- Research Project
Each module combines theoretical knowledge with practical applications, preparing students for real-world challenges in health data analytics.
Industry Demand
The demand for professionals skilled in health data analytics is rapidly growing as healthcare systems increasingly rely on data-driven decision-making. Graduates of this programme will find ample opportunities in sectors such as healthcare, pharmaceuticals, and biotechnology, where their expertise will be crucial in improving patient outcomes and operational efficiency.
Guaranteed Work Experience
This programme includes a capstone project that integrates students into leading academic or industrial research teams, providing invaluable experience in applying their skills to real-world problems.
Careers with Health Data Analytics and Machine Learning
Graduates from this programme are well-positioned for various roles in health data sciences. Alumni have secured positions in prominent organisations, contributing to significant advancements in healthcare analytics, data management, and epidemiological research. Potential career paths include data analyst, health informatician, and research scientist, among others.
Programme Structure
Courses include:
- Statistical Thinking and Data Analysis
- Principles and Methods of Epidemiology
- Clinical Data Management
- Molecular Epidemiology
- Translational Data Science
- Machine Learning
- Computational Epidemiology
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- City of London, United Kingdom
- London, United Kingdom
Disciplines
Health Informatics Machine Learning Data Analytics View 80 other Masters in Machine Learning in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Our minimum requirement is a 2.1 degree in mathematics, statistics, epidemiology or biology, or a medical degree.
Tuition Fees
-
International Applies to you
Applies to youNon-residents45000 GBP / year≈ 45000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15500 GBP / year≈ 15500 GBP / year
Living costs
City of London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Health Data Analytics and Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility