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MSc Health Data Analytics and Machine Learning

Imperial College London

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Hammersmith Hospital Campus

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 Year

Course summary

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.

Application deadline

01/08/2026

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Tuition fees

Students living in United States
(International fees)

£ 47,300per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Imperial College London

  • University League Table

    5th

  • Campus address

    Imperial College London - South Kensington Campus, Exhibition Road, London, Greater London, SW7 2AZ, United Kingdom

Subject rankings

  • Subject ranking

    1st out of 118 2

  • Entry standards

    / Max 229
    224 98%

    2nd

  • Graduate prospects

    / Max 100
    98.0 98%

    1st

    3
  • Student satisfaction

    / Max 4
    3.25 81%

    11th

    18

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