Advert
Advert
  • DeadlineStudy Details:

Course Description

This Masters programme is aimed at graduates with interests in artificial intelligence, health data and advanced computational approaches in the clinical and biomedical space.

It will equip future health data scientists with the knowledge and skills 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 health data science and its applications, and they will be taught how to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions. Students will also benefit from 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.

Entry 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. 

Find out more

Fees

For fees and funding options, please visit website to find out more

Programme Funding

The University of Birmingham is offering AI and Data Science Masters Scholarships in 2024-2025 for nine Masters programmes to upskill students from under-represented backgrounds to progress into the AI and Data Science workforce.

This will include over 100 students from under-represented groups, particularly women, Black and disabled students and those from low-socioeconomic backgrounds, who will each be supported by a £10,000 scholarship.

Scholarship funding will be prioritised for women, Black students, disabled students and those from lower socioeconomic backgrounds, to ensure that AI reflects the makeup of our society. Funding is intended only for those under-represented students who meet the eligibility criteria.

Student Destinations

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 career pathways.

Module Details

  • Foundations of Computing Practices in Health Data Science (20 credits)
  • Essentials of Mathematics and Statistics (20 credits)
  • Data Analytics & Statistical Machine Learning (20 credits)
  • Health Data Fundamentals (20 credits)
  • Epidemiology and Health Information (20 credits)
  • Integrative Multimodal Data Analytics (20 credits)
  • Interdisciplinary Health Data Research Project (60 credits)

Find out more and apply

Add to comparison

Learn more about University of Birmingham

Where is University of Birmingham?