MSc Health Data Science

  1. Course Variations
    Nomenclature Duration Mode Of Attendance
    MSc 1Yr FT
    MSc 3Yr PT
    PGDip 1Yr FT
    PGDip 2Yr PT
    PGCert 1Yr FT
    PGCert 1Yr PT
  2. Typical offer:
    UK 2.2

Course Overview

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Healthcare, with an already established strong relationship with Information & Communication Technologies (ICT), is continuously expanding the knowledge forefront as new methods of acquiring data concerning the health of human beings are developed.

Processing this data to extract valuable information about a population (epidemiological applications) or the individual (personalised healthcare applications) is the work of health data scientists. Their work has the potential to improve quality of life on a large scale.

Swansea University is the first institution in the UK to offer this taught masters programme designed to develop the essential skills and knowledge required of the Health Data Scientist.

Key Features

  • A one year full-time taught masters programme designed to develop the essential skills and knowledge required of the Health Data Scientist.
  • This course is also available for three years part-time study.
  • An integrated programme of studies tailored to the essential skill set required for Data Scientists operating within healthcare organisations covering key topics in computation, data modeling, visualisation, machine learning and key methodologies in the analysis of linked health data.
    Hands on experiential learning from the professionals behind the Secure Anonymised Information Linkage (SAIL) Databank, a UK-exemplar project for the large scale mining of healthcare data within a secure environment.
  • Strong collaboration links with colleagues from the Centre for Health Services Research of the University of Western Australia, a group of leading experts in the analysis of linked health data.
  • This course is based within the award winning Centres for Excellence for Administrative Data and eHealth Research of Swansea University, awarded by the Economic and Social Research Council (ESRC) and Medical Research Council (MRC), enhancing the quality of the course.

Modules

Disclaimer: Module selection options may change.

Description

Who should study MSc Health Data Science?
This course is suitable for those working in healthcare with roles involving the analysis of health data and also computer scientists with experience in working with data from the healthcare domain, as well as biomedical engineers and other similar professions.

Course structure
Students must complete 6 modules of 20 credits each and produce a 60 credits dissertation on a Health Data Science project. Each module of the programme requires a short period of attendance that is augmented by preparatory and reflective material supplied via the course website before and after attendance.

Attendance pattern
Students are required to attend the University for 1 week (5 consecutive days) for each module in Part One. Attendance during Part Two is negotiated with the supervisor.

Course modules

  • PMIM102 Health Data Science & Scientific Computing in Healthcare
  • PMIM202 Health Data Manipulation
  • PMIM302 Analysis of Linked Health Data
  • PMIM402 Machine Learning Applications in Health Data
  • PMIM502 Health Data Visualisation
  • PMIM602 Advanced Analysis of Linked Health Data
  • PMIM702 Health Data Analysis Dissertation

Entry Requirements

Admission to this course is normally on the basis of UK Honours Degree Grade 2:2 or above or an equivalent qualification for overseas applicants.

Non-graduates are also welcome to apply. All applications are considered on individual merit, taking into account of any relevant work experience. Should you have qualifications below the required minimum or lack a suitable first degree, please feel encouraged to submit an application if you have at least two years of experience in Health and or Data Science related fields.

Applicants who are not first-language English speakers must provide one of the following qualifications:

  • IELTS Academic: 6.5 (minimum of 6.0 in each part)
  • TOEFL IBT: 93 (20 in each part)
  • Pearson PTE Academic: 62 (51 in communicative skill)
  • Cambridge CPE: Grade C
  • Sijil Pelajaran Malaysia: Grade 6 or above

How To Apply

 1. Online application

Please read our Guidance Notes before applying online. Online application is the quickest way to apply and receive a decision on your application.

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2. Apply by Post or Email

Please download our Application Pack [PDF] and send the completed form by post or email to :

Postgraduate Admissions Office 
Swansea University 
Singleton Park 
Swansea
SA2 8PP 
United Kingdom

Email: postgraduate.admissions@swansea.ac.uk Tel: +44(0)1792 295358

Reference form

Please download the  Reference Form [PDF] and send to your nominated referees *Please Note - You will need the latest version of Adobe® Reader® (download here). Please remember to save your reference form as you fill it in

Admissions Policy

For more information, please download our Admissions Policy [PDF]

Tuition Fees

Annual tuition fees for entry in the academic year 2017/18 are as follows:

UK/EU International
MSc Full-time £6,250 £14,250
MSc Part-time £2,100 £4,750
PGDip Full-time £4,150 £9,500
PGDip Part-time £2,100 £4,750
PGCert Full-time £2,100 £4,750
PGCert Part-time £2,100 £4,750

Tuition fees for years of study after your first year are subject to an increase of 3%.

You can find further information on fees and how to pay on our tuition fees page.

You may be eligible for funding to help support your study. To find out about scholarships, bursaries and other funding opportunities that are available please visit the University's scholarships and bursaries page.

International students and part-time study: If you require a Tier 4 student visa you must be studying full-time. If you are in the UK under a different visa category, it may be possible for you to study part-time. Please see our part-time study and visas page for more information.

Current students: You can find further information of your fee costs on our tuition fees page.

Additional Costs

The tuition fees do not cover the costs of purchasing books or stationery, printing, thesis binding or photocopying costs. There are no mandatory additional costs specified for this course.

Professional Development and Employability

Professional Developement

The College of Medicine offers the modules on this course as standalone opportunities for prospective students to undertake continued professional development (CPD) in the area of Health Data Science.

You can enroll on the individual modules for this programme as either an Associate Student (who will be required to complete the module(s) assessments) or as a Non-Associate Student (who can attend all teaching sessions but will not be required to complete any assessments).

How to Apply

For information and advice on applying for any of the continuing education opportunities, please contact the College directly at PostgraduateMedicine@swansea.ac.uk.

Employability

Postgraduate study has many benefits, including enhanced employability, career progression, intellectual reward and the opportunity to change direction with a conversion course.

From the moment you arrive in Swansea, specialist staff in Careers and Employability will help you plan and prepare for your future. They will help you identify and develop skills that will enable you to make the most of your postgraduate degree and enhance your career options. The services they offer will ensure that you have the best possible chance of success in the job market.

The student experience at Swansea University offers a wide range of opportunities for personal and professional development through involvement in many aspects of student life.  

Co-curricular opportunities to develop employability skills include national and international work experience and study abroad programmes and volunteering, together with students' union and athletic union societies, social and leisure activities.

For the MSc Health Data Science course, we are in the process of identifying opportunities for our students to complete volunteering placements with a number of our collaborative partners.