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Data Science and Analytics for Health MSc
Liverpool City Centre Campus, Liverpool, United Kingdom
12 monthsProgram duration
Health/HealthcareMain Subject Area
Program overview
Main Subject
Health/Healthcare
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Introduction You’ll receive a comprehensive overview of statistical concepts and explore the role of databases in modern information systems. A combination of theory and practice will prepare you for analysing, manipulating and interpreting the vast amounts of data generated in health care settings.
We’ll also reveal the exciting potential of digital technology for enhancing health care interventions. This includes focusing on actionable analytics, thinking about how to transform data from information into actions that drive real-world improvements in health care settings. Further specialisation in advanced biostatistics, artificial intelligence and data mining is possible.
The culmination of the MSc is a significant research project that enables you to make an original contribution to knowledge in health data science.
This programme is supported by Health Data Research UK – the national institute for health data science.
This MSc has strong links to Civic Health Innovation Labs (CHIL), which has built an internationally recognised, multi and trans-disciplinary research centre tackling global health challenges with civic data and technology. CHIL provides dissertation research projects for students, focusing on areas such as healthcare data analytics, digital health solutions, public health informatics, and the application of technology in community health initiatives. These projects offer students the opportunity to work on cutting-edge research, contributing to meaningful advancements in global health.
The programme opens up a multitude of career opportunities globally, including in the health sector, industry, and academia. In the UK alone, demand for data scientists and data engineers has more than tripled over the past years, increasing by 231%, which translates to approximately 52,000 new jobs.
Who is this course for? This master’s is suitable for you if you have a quantitative background (for example, a background in mathematics, statistics, computer science, physical science, biomedical science including epidemiology, biological sciences, or medicine*) and want to analyse and address health care problems using data.
Plus, if it suits you better, you can study some of the course modules as standalone CPD (Continuing Professional Development) modules. For more information contact: [email protected]
*Please note these are examples only and are not the exhaustive list of backgrounds we accept. Please see our entry requirements for full details.
Program overview
Main Subject
Health/Healthcare
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Introduction You’ll receive a comprehensive overview of statistical concepts and explore the role of databases in modern information systems. A combination of theory and practice will prepare you for analysing, manipulating and interpreting the vast amounts of data generated in health care settings.
We’ll also reveal the exciting potential of digital technology for enhancing health care interventions. This includes focusing on actionable analytics, thinking about how to transform data from information into actions that drive real-world improvements in health care settings. Further specialisation in advanced biostatistics, artificial intelligence and data mining is possible.
The culmination of the MSc is a significant research project that enables you to make an original contribution to knowledge in health data science.
This programme is supported by Health Data Research UK – the national institute for health data science.
This MSc has strong links to Civic Health Innovation Labs (CHIL), which has built an internationally recognised, multi and trans-disciplinary research centre tackling global health challenges with civic data and technology. CHIL provides dissertation research projects for students, focusing on areas such as healthcare data analytics, digital health solutions, public health informatics, and the application of technology in community health initiatives. These projects offer students the opportunity to work on cutting-edge research, contributing to meaningful advancements in global health.
The programme opens up a multitude of career opportunities globally, including in the health sector, industry, and academia. In the UK alone, demand for data scientists and data engineers has more than tripled over the past years, increasing by 231%, which translates to approximately 52,000 new jobs.
Who is this course for? This master’s is suitable for you if you have a quantitative background (for example, a background in mathematics, statistics, computer science, physical science, biomedical science including epidemiology, biological sciences, or medicine*) and want to analyse and address health care problems using data.
Plus, if it suits you better, you can study some of the course modules as standalone CPD (Continuing Professional Development) modules. For more information contact: [email protected]
*Please note these are examples only and are not the exhaustive list of backgrounds we accept. Please see our entry requirements for full details.
Admission requirements
Important Dates
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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