Data Science and Analytics for Health MRes

Our Data Science and Analytics for Health MRes degree provides a comprehensive training in the management, modelling and interpretation of health and healthcare data used by clinical, behavioural and organisational sources. These skills will enable you to extract valuable empirical evidence to better understand the causes of disease, and more accurately predict and evaluate health outcomes and health service needs.

The course draws on recent advances in information technology, data management, statistical modelling (for description/classification, causal inference and prediction), machine learning and artificial intelligence. It intends to equip health data scientists and health data analysts with the skills required to: harness the empirical insights available within large and varied data sources; and apply these to pressing clinical, social and organisational questions within the broad and varied context of health and healthcare services.

The programme is designed to enable you to develop both the technical and applied skills required for addressing real‐world challenges in real‐world health and healthcare contexts.

This course draws together:

• established expertise in applied data science relevant to the statistical modelling of complex data and the use of machine learning and artificial intelligence to accelerate the application of modelling for insight and discovery through causal inference and prediction

• key public and private sector partners with extensive experience of managing a range of complex health and healthcare data sources, and harnessing these to inform professional practice, service delivery, public policy and commercialization.

A distinctive feature of this course is the inclusion of extended periods of hands‐on data science practice working on applied and collaborative workplace‐based projects across a range of health and healthcare services. You will be under the supervision of service‐specific specialists and academic experts in the management, analysis and interpretation of health and healthcare data.

These projects will offer you the opportunities to:

• apply, test and further refine your skills in data science and analytics

• experience working within established data science teams addressing pressing and pertinent health and healthcare problems

• develop invaluable transferable skills relevant to interdisciplinary team science

• generate analytical tools, empirical findings, and evidence‐based insights with the potential to have tangible impacts on health and healthcare policy and practice.

Want to find out more about your modules?

Take a look at the Data Science and Analytics for Health (MRes) module descriptions for more detail on what you will study.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

For more information and a full list of typical modules available on this course, please read Data Science and Analytics for Health MRes Full Time in the course catalogue

For more information and a full list of typical modules available on this course, please read Data Science and Analytics for Health MRes Part Time in the course catalogue

Modules

Year 1

Learning and teaching

Campus‐based blended learning with workplace‐based research project supervision.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Entry requirements

A bachelor (or master’s degree) in computer science, science, technology, engineering, mathematics, medicine or a quantitative health discipline

Either a 1st class degree at bachelor or masters level Or 2:1 (hons) plus (minimum 3 years) first‐hand work‐related experience in one or more quantitative science or healthcare settings.

A-level: AAA including Mathematics or Computing or equivalents.

We accept a range of international equivalent qualifications. For more information please contact the Admissions Team.

English language requirements

IELTS 6.5 overall, with no less than 6.5 in any component. For other English qualifications, read English language equivalent qualifications.

How to apply

Application deadlines

Applicants are encouraged to apply as early as possible.

4 July 2022 - International applicants

4 July 2022 - UK applicants

Apply (Full time)

Apply (Part time)

This link takes you to information on applying for taught programmes and to the University's online application system.

If you're unsure about the application process, contact the admissions team for help.

English Language

TOEFL iBT – score of 91 overall, with listening and reading components no less than 24, writing component no less than 24 and speaking component no less than 24;

Pearson PTE Academic – score of 64 overall, with no component less than 64.

Important information

Prior to being made an offer, you will be invited to attend an online interview in order to assess your suitability for this course. You do not need to have identified a work placement to apply for this course.

As part of your application you will need to include the following information:

• details of the organisation you hope to undertake your extended Workplace-Based Research and Development project (if known) including name, email address and telephone number of your contact

• two references (one academic, one professional)

• contact details in order for us to organise the online interview.

Skills

Applicants must be able to demonstrate an ability to programme through their degree, work experience or supporting statement.

Motivation

For applicants meeting all of the above, motivation will be verified by programme team based on the supporting statement, emails or interview as required.

Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Admissions policy

University of Leeds Taught Admissions Policy 2022

Fees

• UK: £11,500 (total)
• International: £26,500 (total)

Read more about paying fees and charges.

For fees information for international taught postgraduate students, read Masters fees.

Part-time fees
Fees for part-time courses are normally calculated based on the number of credits you study in a year compared to the equivalent full-time course. For example, if you study half the course credits in a year, you will pay half the full-time course fees for that year.

Additional cost information

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs.

Scholarships and financial support

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There may be help for students in the form of loans and non-repayable grants from the University and from the government.  Find out more at Masters funding overview.

HDRUK studentships

Following funding from Health Data Research UK (HDRUK) we are able to offer up to 5 fully-funded places commencing September 2022 to students who have applied to study on the programme. The funding is open to UK and international students and will cover the cost of UK fees as well as offering a stipend of around £15,285 to cover living expenses.

This funding is awarded based on academic merit.

To apply for this studentship, download and complete an application form then submit this via email to pgcomp@leeds.ac.uk.

Deadline for applications: Friday 27 May 2022.

A degree from Leeds and the experience you'll gain here will give you the edge to find the career you want. Your course will give you the experience and knowledge that employers are looking for to help you secure a job.

The University of Leeds is in the top five most targeted universities in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2022 report.

On completion of this course, you will be strongly positioned to enter an exciting and rewarding career path in one of at least three main areas:

• as skilled data science researchers in research‐intensive settings (including academia) – with good research funding prospects and substantial potential for societal and economic impacts arising out of the outputs from your applied, workplace‐based health data science projects;

• as health and healthcare data science entrepreneurs – developing business ideas based on the application of your advanced data science skills in extended workplace‐based research projects within the health domain; and

• as key research and development staff within public, private/commercial or voluntary sector organisations – generating and capitalising upon the novel insights and discoveries accessed through the application of advanced data science techniques to rapidly expanding clinical, behavioural and operational data sets.

Careers support

At Leeds we help you to prepare for your future from day one. Our Leeds for Life initiative is designed to help you develop and demonstrate the skills and experience you need for when you graduate. We will help you to access opportunities across the University and record your key achievements so you are able to articulate them clearly and confidently.

You’ll have access to the wide range of careers resources and support from your Careers Service. You’ll have the chance to attend industry presentations, book appointments with qualified careers consultants and take part in employability workshops and webinars. Our careers fairs provide further opportunities to explore your career options with some of the UKs leading employers.

You will also have full access to the University’s Careers Centre, which is one of the largest in the country.

There are also plenty of exciting ways you can volunteer during your time at Leeds. Find out more at the Leeds University Union website.

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.