University of Leeds Background Image
Image of University of Leeds
Engineering and Technology
Data Science and Analytics for Health MRes
Data Science and Analytics for Health MRes

Data Science and Analytics for Health MRes

  • ID:UOL440363
  • Level:Master's Degree
  • Duration:
  • Intake:

Fees (GBP)

Estimated Total/program:
Apply
60
Accept letter
100
Visa
20
Fly
1

Admission Requirements

Entry Requirement

English Requirement

IELTS 6.5 overall, with no less than 6.0 in any component

Course Information

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.

More information:click here

 

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.

See moreSee less

Pre Courses

No Course!
See moreSee less

Pathway Courses

International Foundation Year

International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses.

No Course!
See moreSee less

Career Opportunity

Career Opportunity

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

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.

Ability to settle

Overseas Student Health Cover

300 GBP/year

Same Courses

Close search