Data Science and Analytics for Health MSc
University of Liverpool
Student rating
This is the overall rating calculated by averaging all live reviews for this uni on Whatuni.
( 4.3) View reviews

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Different course options
2 options available
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Qualification

MSc - Master of Science

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Location

Liverpool Campus

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Study mode

Full Time

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Start date

SEP-26

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Duration

12 Months

Course info

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Qualification

MSc - Master of Science

Location

Liverpool Campus

Study mode

Full Time

Start date

SEP-26

Duration

12 Months

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Qualification

MSc - Master of Science

Location

Liverpool Campus

Study mode

Part Time

Start date

SEP-26

Duration

24 Months

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Computer Science
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Course info

Step into the forefront of healthcare innovation with our MSc in Data Science and Analytics for Health. Data science is revolutionising healthcare by enabling data-driven decision-making to improve healthcare outcomes. We are able to use Machine learning models to analyse healthcare data to predict diseases before symptoms appear, as well as use AI tools to enhance medical images, allowing greater accuracy and speeding up disease identification. This programme will equip you with the technical ...Read more

Step into the forefront of healthcare innovation with our MSc in Data Science and Analytics for Health. Data science is revolutionising healthcare by enabling data-driven decision-making to improve healthcare outcomes. We are able to use Machine learning models to analyse healthcare data to predict diseases before symptoms appear, as well as use AI tools to enhance medical images, allowing greater accuracy and speeding up disease identification. This programme will equip you with the technical and analytical skills to become a key contributor to the digital revolution in healthcare.IntroductionData science is transforming the healthcare sector where large amounts of health data has the potential to revolutionise health care interventions. With the rise of electronic health records, wearable technology and AI driven diagnostics, healthcare now generates vast amounts of data. Effectively analysing this data allows for earlier disease detection, personalised treatment plans and more efficient resource allocation.Predictive analytics can help identify at risk populations, while machine learning models assist in the diagnosis of conditions with greater accuracy. Data Science also plays a crucial role in public health by tracking disease outbreaks, guiding policy decisions and improving global health interventions.This programme blends core principles of computer science with advanced statistical analysis and data visualisation techniques to discover how health data science can enhance our understanding of disease and healthcare.The structure of the MSc has significant flexibility allowing students to follow their personal interests and specialise in, for example, prediction modelling, artificial intelligence and machine learning, and clinical trials.This MSc also has strong links to the Civic Health Innovation Labs (CHIL), an internationally recognised, multi and trans-disciplinary research centre based at The University of Liverpool. The centre brings together leading experts from academia, the NHS, local government, charities and industry to develop a new model for progressive data uses and responsible AI in civil society, fuelling innovations for health, society and economic advancement for the Liverpool city region.

Key stats

Computer Science
  IDP Connect
WUSCA ranking:
WUSCA student ranking
These are the 2025 rankings, based on ratings given by past and current students.
14/279
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2026
28th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2026
23rd
What students say
A
Akhiman
07 Oct 25

Guild is the place to be, worst would be that the uni cafes arent open..Read more

OU
Obaid Ullah Masood
07 Oct 25

Hard to get along and talk to more people specially as a masters student but I believe it’s pretty..Read more

Entry requirements

We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution.

Applicants can hold a degree in any subject area but should be able to demonstrate evidence of previous experience of quantitative analysis in statistics and/or computer science (for example, as part of an undergraduate module or relevant work experience).

This programme is also open to intercalating students on clinical programmes.

Tuition fees

Students living in

Domestic

£1,167 month

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from Domestic

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

£1,167 month

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from Channel Islands

£2,667 month

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

The amount you'll pay if you come to study here from a country outside the EU.

IDP Connect

Latest reviews

Latest Data Science reviews

Data Science
Data Science
Digital metrics / website analytics
A
Akhiman
07 Oct 25
Business Analytics and Big Data MSc
Guild is the place to be, worst would be that the uni cafes arent open...
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OU
Obaid Ullah Masood
07 Oct 25
Business Analytics and Big Data MSc
Hard to get along and talk to more people specially as a masters student but I believe it’s pretty...
Read more
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( 4.3) 1,519 reviews
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Uni info

University of Liverpool
Foundation Building Brownlow Hill Liverpool L69 7ZX United Kingdom
Nearest train station: Liverpool Lime Street  0.2 miles away
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