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Health Data Science MSc
UCL (University College London)

Student rating
(4.1)

Find out more about studying Health Data Science MSc at UCL (University College London)? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MSc - Master of Science

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Location

UCL (University College London) - Bloomsbury Campus

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Study mode

Full Time

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Start date

Sep 2027

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Duration

1 Year

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Course info

Discover how cutting-edge techniques are revolutionising medical research with UCL's Health Data Science MSc. This dynamic course immerses you in advanced computational methods in artificial intelligence and machine learning tailored for analysing large, complex biomedical data. You will gain the skills and expertise to drive innovations that enhance healthcare and medicine. Health Data Science is a rapidly expanding field with a vibrant job market, offering abundant opportunities for skilled health data scientists in both large organisations and innovative health start-ups. This course provides a deep dive into cutting-edge techniques that leverage the ever-growing biomedical data encompassing the health of diverse populations. You will master the skills to link, characterise and analyse complex datasets, such as electronic health records, and design and conduct sophisticated health research studies. The course integrates UCL’s world-class expertise across health informatics, health data science, clinical epidemiology, computer science, artificial intelligence, machine learning, and biomedical statistics. Guided by our renowned academics, you will gain invaluable insights into groundbreaking research at the forefront of this field. With UCL's strong connections to hospitals, health data science firms, MedTech companies, pharmaceutical companies, government agencies, and small and medium enterprises (SMEs), you will have ample opportunities to gain practical, industry-relevant experience, setting you up for a successful career. The course provides a good grounding in health/biomedical statistics and scientific programming for data management and analysis, and no prior knowledge is assumed. Applicants should ensure that evidence of their readiness for this kind of training is clearly presented either through their educational history or in their personal statement. This programme is also available on a modular (flexible) basis, with a duration of 5 calendar years.

Key stats
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Complete University Guide ranking
13th
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Complete University Guide Computer Science ranking
7th

Modules

Modules (Year 1)

In addition to core modules, Students will study some optional modules.

Basic Statistics for Medical Sciences - Core

In addition to core modules, Students will study some optional modules.

Data Methods for Health Research - Core

In addition to core modules, Students will study some optional modules.

Principles of Epidemiology Applied to Electronic Health Records Research - Core

In addition to core modules, Students will study some optional modules.

Principles of Health Data Science - Core

In addition to core modules, Students will study some optional modules.

Regression Modelling - Core

In addition to core modules, Students will study some optional modules.

Scientific Software Development with Python for Health Research - Core

In addition to core modules, Students will study some optional modules.

Dissertation

All students undertake an independent research project which culminates in a dissertation. Project Proposal 20% (2,000 words); Journal Article 80% (6,000 words).

DATA SOURCE:
UCAS/IDP Connect
Tuition fees
Student living
£16,800 per year
Students from Domestic

A fee deposit will be charged at 2.5 percent of the first year fee.

DATA SOURCE:
UCAS / IDP Connect

Uni info

University College London (UCL) is consistently ranked among the top ten universities in the world, conducting leading r...

Student rating
(4.1)
View reviews
CUG ranking 13th
UCL (University College London)
Gower StreetLondonGreater LondonWC1E 6BTUnited Kingdom