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MSc/PGDip/PGCert Health Data Science

This Health Data Science programme from University of Birmingham will provide students with training in areas such as clinical bioinformatics, health informatics, epidemiology, clinical systems, integrated multimodal data analysis and omics analytics for health data science careers in academia, industry and national health services.

Quick Facts

  
Duration: 1 year (Full-Time)
2 years (Part-Time)
Starting in: September
Tuition Fee: £26,640 per full (Full-Time)
Location: Birmingham, United Kingdom

This Health Data Science programme from University of Birmingham 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.

Courses included:

  • Computing Practices in Health Data Science
  • Essentials of Mathematics and Statistics
  • Data Analytics & Statistical Machine Learning
  • Epidemiology and Health Informatics
  • Integrative Multimodal Data Analytics
  • Interdisciplinary Health Data Research Project

“The transition from undergrad to postgrad can be a big step up in terms of workload and what is expected of you, but there is so much support available to you as a postgrad student, from academic writing support (if you’ve been out of education for a few years or just want a bit of extra help) to mental health and wellbeing services. The careers support is fantastic – the uni puts on employer fairs throughout the year and you have access to one on one support from the Careers Network team, who can help you develop your skills ready for your next step!”

Emma Sutton // PhD Psychology

Why study this course?

Students on the Health Data Science programme will:-

  • be embedded within a diverse, collaborative, interdisciplinary environment, incorporating academia, industry and healthcare.
  • acquire skills in governing health data science, its foundations and effective application within healthcare settings.
  • develop an in-depth understanding of healthcare systems, their underlying ethics and their governance structures. Students will also explore the role of current and potential future applications of health data science in the delivery of patient-centred care, patient-provider interactions and wider aspects of healthcare delivery.
  • understand how health data science skills can revolutionise healthcare data and patient-specific genome information for research, clinical care and innovation in the 21st century.
  • learn the value of different types of health information, systems and integration, and the role of information related technologies in delivering healthcare.
  • gain practical experience of working within diverse, multi-disciplinary environments across the healthcare sector and its associated industries, and develop effective communication and delivery skills within the wider landscape.
  • enhance their prospects. 80% of MSc Health Data Science students have received an offer for a PhD or job before finishing their thesis (2022).

Requirements

A 2:1 undergraduate honours degree in a medical/life science (medicine, biology, chemistry, etc.) or quantitative science subject (computer science, mathematics, physics, etc.). Equivalent relevant work experience will also be considered for eligibility to enter the programme.

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