Health Data Science MSc 12 months Postgraduate Programme By UCL |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

40,800 GBPTuition Fee/year

Application Deadline

25 Jun, 2027Application Deadline

Starting Month

SepStarting Month

Programme overview

Main Subject

Health/Healthcare

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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.

Programme overview

Main Subject

Health/Healthcare

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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.

Admission Requirements

76+
4.5+
7+
180+
A minimum of an upper second-class Bachelor’s degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year.

25 Jun 2027
1 Year
Sep

Tuition fees

Domestic
16,800 GBP
International
40,800 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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