Health Data Science MSc/Diploma/Certificate

Duration
Full-time (1 year), Part-time (2 years)
Course Type
Postgraduate, Taught
Introducing Birmingham Life Sciences Park

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

*Programme subject to final approval

This 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.

This bespoke health data science programme is designed around four different, complementary themes:

  • Health Data & Skills - ‘How?’ (3 modules)
  • Health Data & the Expert - ‘What?’ (2 modules)
  • Health Data & the Patient - ‘Why?’ (1 module)
  • Health Data & Research - ‘Now!’ (1 module)

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
  • learn the value different types and values of health information, of health information systems and their integration, and the role of information-related technologies in delivering health care
  • gain practical experience of working within diverse, multi-disciplinary environments across the healthcare sector and associated industries, and develop effective communication and delivery skills within the wider healthcare landscape

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Modules

Module 1: Foundations of Computing Practices in Health Data Science (20 credits)

Module 2: Essentials of Mathematics and Statistics (20 credits)

Module 3: Data Analytics & Statistical Machine Learning (20 credits)

Module 4: Genomics & Next Generation Sequencing (20 credits)

Module 5: Epidemiology and Health Informatics (20 credits)

Module 6: Patient- focused, Real-World Data (20 credits)

Module 7: Interdisciplinary Health Data Research Project (60 credits)

Our Standard Requirements

2:1 or equivalent undergraduate degree in Biology, Mathematics, Computer Science or other relevant subject.

International Requirements


Assessment Methods

Module 1: Foundations of Computing Practices in Health Data Science (20 credits) 

-          short written essay, oral presentation, computer-based problem solving exercises

Module 2: Essentials of Mathematics and Statistics (20 credits)

-          written exam, computer-based problem solving exercises

Module 3: Data Analytics & Statistical Machine Learning (20 credits)

-          short written essay, oral group presentation, computer-based problem solving exercises

Module 4: Genomics & Next Generation Sequencing (20 credits)

-          multiple choice and written exams, short written essay, oral group presentation, computer-based exercises

Module 5: Epidemiology and Health Informatics (20 credits)

-          written exam, written essay

Module 6: Patient- focused, Real-World Data (20 credits)

-          written essay, oral presentation

Module 7: Interdisciplinary Health Data Research Project (60 credits)

-          written thesis, oral presentation

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.

 

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