menu icon
Coronavirus (COVID-19) Latest news
Health Data Science MSc/Diploma/Certificate

Health Data Science MSc/Diploma/Certificate

Different course options

Full time | University of Birmingham | 1 year | SEP

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Health Informatics Health Studies

Course type


Course Summary

This programme will provide students with a diversity of skills with hands-on expertise in harmonizing, integrating and analysing multimodal heathcare data.

is programme is ideally suited to the needs of future health data scientists, enabling them to perform analyses and develop novel tools and methods for this rapidly growing field. It is aimed at students with diverse backgrounds from biomedical/medical domains, including clinical trainees, as well as Computer Science, Mathematics and Statistics to conduct their own analyses, and also to create the next generation of cutting-edge health data scientists who will be able to develop new tools and methods matching the latest technological advancements.

Students will learn about the breadth of the fields of health data science, from medicine and biology, over ethics and health care systems and clinical practice, to mathematical modelling and computer science. They will be able to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions.

The MSc in Health Data Science leverages University teaching staff diversity – including biomedical, clinical, social, engineering, computer science, informatics, computational, mathematical and applied health sciences – alongside that of our external partners. This will deliver training across the breadth of health data science and research from clinical bioinformatics, health informatics, epidemiology, clinical systems, patient-focused systems, bioinformatics and omics analytics. This environment caters for a diverse and rich, real-world, real- time environment within which our student cohort will be embedded to receive practical delivery of essential skills that will develop their abilities to conduct 21st century health data science.

Why study this course?

Students on the Health Data Science programme will:-

  • be embedded within a unique, diverse, collaborative, interdisciplinary ecosystem integrating academic, NHS and industry and exposed to a rich training ground for the next generation of health data scientists.
  • acquire principles/skills governing health data science, their foundations, and experience/training in their effective application within real-world healthcare settings
  • gain an in depth understanding of healthcare systems, their underlying ethics and governance structures as well as of the role current/potential future applications of health data science in delivery of patient-centred care alongside patient-provider interactions and wider aspects of healthcare delivery
  • understand how health data science skills can revolutionise utilisation of the relatively-untapped resource of healthcare data and patient-specific genome information for research, clinical care and innovation in the 21st century


This programme will give students clear and compelling experience of working across academic, NHS and industry sectors, with extensive supervisory and mentoring arrangements to maximise their exposure to these environments. Not only will this prepare them mentally/practically, but also help identify specific opportunities/contacts for progress into relevant careers pathways.

We will also offer a range of timetabled/ad-hoc sessions and services throughout the year to support career planning. This includes bespoke cohort induction sessions, dedicated LinkedIn sessions and ‘Searching for Jobs’ events with our award-winning Careers Network team (Best University Careers/Employability Service 2019), and job application and interview preparation training. We also provide a PGT Skills series, including an 8-week ‘Mastering Your Career’ peer-support programme and online courses.


Module 3: Data Analytics & Statistical Machine Learning (20 Credits) - Core
Module 1: Foundations of Computing Practices in Health Data Science (20 Credits) - Core
Module 7: Interdisciplinary Health Data Research Project (60 Credits) - Core
Module 4: Genomics & Next Generation Sequencing (20 Credits) - Core
Module 5: Epidemiology and Health Informatics (20 Credits) - Core
Module 2: Essentials of Mathematics and Statistics (20 Credits) - Core
Module 6: Integrative Multimodal Data Analytics (20 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK/ international students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students need to have an 2:1 or equivalent undergraduate degree in Biology, Mathematics, Computer Science or other relevant subject.

University information

Part of the Russell Group of UK universities, the University of Birmingham has been developing great minds, encouraging challenging debates and pushing the boundaries of innovation and excellence for over 100 years. Over 14,000 students from over 150 countries choose to study at Birmingham, meaning you will be part of a diverse and vibrant community. 40% of this student population are postgraduates. Birmingham understands that you want to...more