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University of Aberdeen: Health Data Science
| Institution | University of Aberdeen View institution profile |
|---|---|
| Department | School of Medicine, Medical Sciences and Nutrition View department profile |
| Web | www.abdn.ac.uk/smmsn |
| pgadmissions@abdn.ac.uk | |
| Telephone | 01224 272090 |
| Study type | Taught |
MSc
Summary
Health Data Science combines health research, statistics and computing sciences to address health and care problems using data. Our MSc programme enables students from both healthcare and computational backgrounds to develop their health data science skills, supported by an interdisciplinary team of academics, NHS and industrial partners. 10% NHS staff discount.
Nationally and internationally there is a critical shortage in data intensive analytic capacity applied to healthcare. The effective and efficient use of data has the potential to create the transformative step change needed through targeting health and care improvement.
Our interdisciplinary MSc in Health Data Science aims to develop the next generation of health data scientists. The programme is delivered by academics from our Aberdeen Centre for Health Data Science (ACHDS). The Centre for Health Data Science aims are to create innovative, interdisciplinary, data science solutions to the big challenges for health and health care, to improve health for individuals, local communities and globally.
The programme offers a wide range of specialist elective options to allow students to build a personalised masters depending on their background, interests and skills and includes a work-based placement or research project. At the end of the programme students will be able to evaluate, critique and demonstrate competency in the practical application of current data intensive analytical methods and current health and care research methods.
The MSc is ideally suited to healthcare professionals who wish to develop data health science skills or for students from computational and/or data intensive science backgrounds who wish to work in the health sector.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | For entry, you will usually have a 2:2 UK undergraduate degree, or equivalent, in a relevant discipline, including life sciences, medicine, computing or maths. |
| Location | Main Site University Office Regent Walk King's College Aberdeen AB24 3FX |
Fees
| Republic of Ireland | 11100 GBP for Year 1 |
|---|---|
| EU | 23000 GBP for Year 1 |
| England | 11100 GBP for Year 1 |
| Northern Ireland | 11100 GBP for Year 1 |
| Scotland | 11100 GBP for Year 1 |
| Wales | 11100 GBP for Year 1 |
| Channel Islands | 11100 GBP for Year 1 |
| International | 23000 GBP for Year 1 |
Summary
Learn the interdisciplinary skills you need to become an exceptional health data scientist. Join an online MSc Health Data Science that fits around full-time work. 10% NHS staff discount.
Learn to use data effectively and efficiently to address challenges in health care. In this interdisciplinary degree, you’ll study health research, statistics, and computing sciences to develop your health data science skills. You’ll learn to evaluate, critique, and apply data-intensive analytical methods, and current health and care research methods.
We need health data scientists In the UK and internationally, there’s a critical shortage of people skilled in the use of data science, including machine learning and AI, for health care.
Help to transform health and care You’ll learn from academics in our Aberdeen Centre for Health Data Science (ACHDS). Right now, they’re creating innovative data science solutions to big health care challenges, to improve health and care for individuals, local communities, and globally. You’ll find out how.
Customise your learning In this degree, you can build a learning experience that’s tailored to you. Choose from a wide range of specialist elective courses to match your interests and skills, including projects and work-based placements.
Who can join online MSc Health Data Science? This MSc is for: healthcare professionals looking to develop data science skills, and professionals with a computing and/or data-intensive science background who want to learn more about health research, or work in the health sector. It’s designed to help students from both backgrounds transition into health data science careers.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | For entry, you will usually have a 2:2 UK undergraduate degree, or equivalent, in a relevant discipline, including life sciences, medicine, computing or maths. Other relevant work experience will also be considered. |
Fees
| EU | 16740 GBP for Whole course |
|---|---|
| International | 16740 GBP for Whole course |
| England | 16740 GBP for Whole course |
| Northern Ireland | 16740 GBP for Whole course |
| Scotland | 16740 GBP for Whole course |
| Wales | 16740 GBP for Whole course |
| Channel Islands | 16740 GBP for Whole course |
| Republic of Ireland | 16740 GBP for Whole course |
Master of Science - MSc (PG)
Summary
Health Data Science combines health research, mathematics, statistics and computing sciences to address health and care problems using data. Our MSc programme enables students from both healthcare and computational backgrounds to develop their health data science skills, supported by an interdisciplinary team of academics, NHS and industrial partners. 10% NHS staff discount.
Nationally and internationally there is a critical shortage in data intensive analytic capacity applied to healthcare. The effective and efficient use of data has the potential to create the transformative step change needed through targeting health and care improvement. Our interdisciplinary MSc in Health Data Science aims to develop the next generation of health data scientists. The programme is delivered by academics from our Aberdeen Centre for Health Data Science (ACHDS). The Centre for Health Data Science aims are to create innovative, interdisciplinary, data science solutions to the big challenges for health and health care, to improve health for individuals, local communities and globally.
The programme offers a wide range of specialist elective options to allow students to build a personalised masters depending on their background, interests and skills and includes a work-based placement or research project. At the end of the programme students will be able to evaluate, critique and demonstrate competency in the practical application of current data intensive analytical methods and current health and care research methods. The MSc is ideally suited to healthcare professionals who wish to develop data health science skills or for students from computational and/or data intensive science backgrounds who wish to work in the health sector.
The programme is delivered via blended learning and will involve a variety of teaching methods including face to face lectures, tutorials, PowerPoint videos with accompanying self-tests and quizzes, video interviews with accompanying guides, computer-based practical sessions, self-study of recommended reading material and discussion boards. This mixed approach to teaching ensures that a range of different learning opportunities are provided for all students.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | Applicants will usually possess an undergraduate degree at a minimum of 2:1 or equivalent in a relevant discipline including life sciences, medicine, computing and maths. Other relevant work experience will also be considered. |
| Location | Main Site University Office Regent Walk King's College Aberdeen AB24 3FX |
The School of Medicine, Medical Sciences, and Nutrition provides a dynamic teaching, learning and research ecosystem that pushes beyond boundaries to create opportunities for greater knowledge, innovation, and scientific advancement to underpin improved health and disease treatment.
By promoting a culture that constantly asks, "what if?" we transcend conventional thinking, break down barriers between disciplines, and defy limits in the discovery and delivery of progressive healthcare solutions for all. Our environment empowers educators and students to keep reaching beyond imagined boundaries.
We nurture future leaders and change-makers who believe pushing fresh thinking is imperative for healthcare’s …
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