Computational Health Data Science MSc
Role details
Job location
Tech stack
Job description
This course is for you if you want to solve real-world healthcare challenges using data-driven approaches, with effective communication and user-centric approaches to designing solutions. Advanced mathematics or computing skills are not prerequisites, although individuals with backgrounds in mathematical sciences or computing will find opportunities to deepen and further develop their expertise.
Computational Health Data Science focusses on designing healthcare apps, creating digital services and developing analytics pipelines. You'll gain insights into the unique challenges of the healthcare industry, including the integration of human-computer interaction (HCI) principles and ethical considerations in health technology design.
The curriculum equips you with cutting-edge data science tools and methodologies to address critical healthcare problems on both local and global scales. From improving patient care pathways to supporting healthcare decision-making with advanced analytics, this degree prepares you to tackle some of the most impactful challenges in the health sector. We also integrate AI tools into the curriculum, teaching you to use them professionally to streamline workflows and implement robust, ethical and human-centred data science solutions.
You'll learn to design and validate healthcare models that are fit for purpose, ensuring the outputs are both accurate and responsible. This course prioritises the creative and ethical problem-solving skills sought by employers. Whether it's analysing healthcare disparities, optimising hospital operations or creating user-friendly health apps, the focus is on applying your skills to real-world health scenarios.
While the healthcare domain is data-rich and offers the potential for machine learning applications, many impactful solutions rely on managing, cleaning and visualising existing datasets and presenting them in ways that drive change. These skills are in high demand across healthcare systems worldwide.
Employers are increasingly looking for data scientists with interdisciplinary backgrounds. This degree will open opportunities in the growing global health data science field, with roles in public health organisations, pharmaceuticals, health tech start-ups and AI-driven medical research. This qualification will position you at the forefront of the rapidly evolving health tech sector, with global demand for data scientists expected to grow exponentially in the coming years.
NB. The PGDip has the same core and option modules as the MSc but does not include the Data Science Research Project and does not offer the 'with industry' option., Studying a 'with industry' Masters degree is the perfect way for you to enhance your career prospects and deepen your understanding of your specific area of expertise. By experiencing real-world scenarios and applying your skills and knowledge to business challenges, you will gain a unique insight into how your studies can be utilised in industry. This will not only showcase your abilities to future employers, but will also enhance your studies when you return to University to complete your programme.
NB. The 'with industry' option is not available on the PGDip.
- Find out more about industrial placements.
The modules listed reflect those currently available to students. Every year, we review our modules and their content to ensure that our courses maintain the best academic and student experience possible. Whilst this does mean elements of your course may change in future academic years, it ensures your course is giving you a research-inspired education and preparing you for your future.
Why Leicester
This MSc is accessible for students from a wide range of academic disciplines - without the requirement for a strong mathematical background.
Teaching and learning
Teaching will be a mixture of lectures, tutorials and computer-based practical classes. The emphasis will be on problem-based learning with a significant amount of activity being group work (including the final dissertation).
Assessment is a mixture of examinations and project-based coursework (both individual and group).
Requirements
Computational Health Data Science MSc
Computational Health Data Science MSc, PGDip
Computational Health Data Science MSc, PGDip, 12-36 months, full-time
In this conversion course, you will learn how to interrogate existing health-related data sets to solve complex challenges in healthcare and design digital solutions that improve patient outcomes. You'll gain the skills to communicate your findings with maximum visual impact to diverse audiences. Start date, 2:1 Honours degree or international equivalent in any subject.
English Language Requirements
IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
Students from India will satisfy the University English requirement if they have achieved 70% in the National Board XII English (80% from a state board)., Course Computational Health Data Science Qualification MSc Duration 1 year, full-time Start Dates September each year Availability Apply Now Course Computational Health Data Science Qualification PGDip Duration 1 year, full-time Start Dates September each year Availability Apply Now Course Computational Health Data Science with Industry Qualification MSc Duration 2 years, full-time Start Dates September each year Availability Apply Now
Benefits & conditions
Starting in September 2026
- MSc: £12,400
- PGDip: £8,260
- MSc with Industry: £12,400
An additional fee will be charged if a placement is secured. If you are resident outside the UK and the Republic of Ireland, you will need to pay a deposit to secure your place. This will be subtracted from your total tuition fee.
Find out more about tuition fees, scholarships and funding.
International Students
Starting in September 2026
- MSc: £24,250
- PGDip: £16,150
- MSc with Industry: £24,250
An additional fee will be charged if a placement is secured. You will need to pay a deposit to secure your place. This will be subtracted from your total tuition fee.
