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Course content

Course overview

  • Learn how to work within a team to collect and interpret health data and use it to help solve healthcare delivery challenges.
  • Experience key technical skills and software for working with and manipulating health data.
  • Access sophisticated research and teaching facilities at the Health eResearch Centre (HeRC) and the Connected Health Cities Programme.
  • Open up a wealth of career opportunities in the NHS, industry and academia - an estimated 52,000 data scientists are needed in the UK alone.
  • We also offer units from this MSc for continuing professional development (CPD) and run a six-month Informatics for Healthcare Systems CPD course.

Fees

For entry in the academic year beginning September 2019, the tuition fees are as follows:

  • MSc (full-time)
  • UK/EU students (per annum): £9,500 
  • International students (per annum): £18,500
  • MSc (part-time)
  • UK/EU students (per annum): Year 1 £3,800; Year 2 £3,800; Year 3 £1,900 
  • International students (per annum): Year 1 £7,400; Year 2 £7,400; Year 3 £3,700
  • PGDip (full-time)
  • UK/EU students (per annum): £7,600 
  • International students (per annum): £14,800
  • PGDip (part-time)
  • UK/EU students (per annum): £3,800 
  • International students (per annum): Year 1 £7,400; Year 2 £7,400;
  • PGCert (full-time)
  • UK/EU students (per annum): £3,800 
  • International students (per annum): £7,400
  • PGCert (part-time)
  • UK/EU students (per annum): Year 1 £1,900; year 2 £1,900 
  • International students (per annum): Year 1 £3,700; Year 2 £3,700

The course fees include all the tuition, technical support and examinations required for the course.

Scholarships/sponsorships

The Faculty of Biology, Medicine and Health offers an alumni bursary of a 10% reduction towards tuition fees for successful applicants who are recent University of Manchester graduates and who are commencing one of our postgraduate taught master's programmes in 2019.

The bursary is available to students or alumni who:

  • have graduated since 2013;
  • hold a first class or 2:1 honours degree;
  • have home or overseas fee status;
  • are registered for MSC, PGDip or PGCert
  • are applying for full- or part-time study;
  • are self-funded and not in receipt of any other funding support.

The bursary will be applied as a fee reduction automatically for those students and alumni who meet the alumni bursary criteria so there is no application process.

Entry requirements

English language

Most international students must demonstrate English proficiency through a secure and approved testing system.

Specifically, we require a minimum of:

  • IELTS: Overall 6.5 (6.0 in reading and writing)
  • TOEFL iBT: 90 (25 in reading and writing)

See further information about requirements for your country.

Application and selection

How to apply

Please apply via our online application form , following any instructions for completion carefully.

Advice to applicants

Your application form must include the following documents:

  • two academic/professional references on letter headed paper, signed and dated within six months of your application. Unfortunately we cannot request references from your referees on your behalf;
  • official academic certificates and transcripts of all your current and previous studies (with fully certified translations if not in English);
  • personal statement of approximately 300-500 words about why you wish to take this course and how it will affect your personal and professional development;
  • CV including details of relevant professional/voluntary experience;
  • a scanned copy of the photograph page of your passport;
  • proof of English Language proficiency (if appropriate).

Supporting documents can be uploaded and submitted with the online application form, or sent directly to  .

Your application cannot be considered until all your supporting documents are supplied. Please include your University ID in all correspondence.

Interview requirements

Applicants may be required to have a short interview with the course director and another member of staff.

Overseas (non-UK) applicants

We welcome applications from overseas students.

Teaching and learning

Each unit will use case studies provided by existing work and research at the Health eResearch Centre (HeRC). The course will focus on large and complex health datasets (often routinely collected) in environments that safeguard patient confidentiality.

A variety of teaching methods will be used within the constraints of the method of delivery. The course will be student centred and will be delivered from the outset using a combination of face-to-face, distance learning and blended learning units.

Coursework and assessment

Assessment will occur in a variety of forms including (but not exclusively) essays, case studies, assessed seminar/tutorial presentations and literature reviews.

Written assignments and presentations have a formative role in providing feedback (particularly in the early stages of course units) as well as contributing to summative assessment.

Online quizzes provide a useful method of regular testing, ensuring that you actively engage with the taught material.

The assessment of tutorials contains an element of self and peer evaluation, so you can learn the skills associated with the effective management of and participation in collaborative activity.

The course also places an emphasis on group work, as this a vital skill for professionals operating in a multidisciplinary area such as health data science, and this is shown in the teaching methods and assignments. 

The dissertation for the MSc requires you to undertake an extended written piece of work (10,000 to 15,000 words) that focuses on a specific aspect of health data science.

Career opportunities

Data science is increasing in importance in the fields of medicine and public health, where we can determine how to best design treatments and allocate resources based on analysis of health and related data.

For students completing this MSc, there will be a wealth of career opportunities available in the NHS, industry and academia. It is envisaged there is a need for 52,000 data scientists in the UK alone.  

Students completing the master's course will be eligible for consideration for PhD programmes within the Faculty of Biology, Medicine and Health, and you will be encouraged and supported to develop relevant research proposals.

Many students have gone on to study for a PhD or gone into the healthcare or commercial sectors.


Visit the MSc Health Data Science page on the University of Manchester website for more details!

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