Data Science and Analytics for Health MRes

at University of Leeds

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.
   

Modules

Year 1

Compulsory modules

• Data Science & Analytics for Causal Inference and Prediction   
• Principles of Data Science & Analytics  
• Machine Learning    
• Artificial Intelligence    

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.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in any component. For other English qualifications, read English language equivalent qualifications.

 

Fees

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

• 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.