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.
The School of Medicine, Medical Sciences and Nutrition, in association with The Data Lab, is offering up to four scholarships to cover tuition fees for Scotland-based students joining the MSc Health Data Science programme in September 2021. Find out more here.
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.
How You'll Study
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.
A variety of different approaches are combined to assess student understanding, progress and performance throughout the programme. Both formative and summative assessments include reflective learning, writing computer programmes, written and activity-based assessments, structured and multiple-choice questions. Whenever possible, the assessment will utilise real life scenarios and/or data and equip the student with transferable skills for subsequent careers.
The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.
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.
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English Language Requirements
To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:
OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0
OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21
OVERALL - 62 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59
Cambridge English B2 First, C1 Advanced, C2 Proficiency:
OVERALL - 176 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169
Read more about specific English Language requirements here.
You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme. If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date.
an up-to-date CV/Resumé
a degree certificate showing your qualifications
a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
a detailed personal statement explaining your motivation for this particular programme
Health Data Science is a rapid growth area and the Academy for Medical Sciences and Health Foundation have both identified the significant shortage of skilled workforce in this field. This shortage is recognised in both the UK and internationally.
Graduates will have the skills needed for a range of careers in Academia, NHS and Industry that involve the analysis and interpretation of health data. Students completing this programme with a commendation or above would also be eligible for consideration to undertake PhD study in this area.
Enhancing student’s employability is a key focus of the programme and engagement with potential employers will be facilitated by our existing partnerships with companies and public bodies including the NHS and Opportunity North East (ONE) business development framework.