The MSc Artificial Intelligence for Healthcare at the University of Hull is a full-time 1 Year Postgraduate program in the field of Medical & Life Sciences. Delivered at the University's Cottingham Road campus in Hull, United Kingdom, the course offers a balanced mix of academic study and practical experience.
Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a full-time competitive international tuition fee of £ 15,000 Starting each January, September, it is designed to equip students with essential skills for advanced study and professional growth.
The University of Hull offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the United Kingdom through this program.
Course Highlights
A revolution is underway in the healthcare sector. Increasingly data science and artificial intelligence are automating tasks that used to take a long time to implement by hand. This degree will teach you how to optimise processes within the sector and you will learn from experts who have careers in the same. Data is one of the 21st century’s most valuable commodities. Understanding how to analyse, validate and interpret it to inform decision-making are key skills in just about every walk of life.
As a conversion degree, you do not need a science background. And the knowledge you gain will help you build a portfolio that will launch you into the field of data science, acquiring highly sought after skills that will greatly enhance your career pathway. The programme will cover topics such as, programming, statistics, machine learning, data visualisation and computer vision and the ethical and legal responsibilities of using data. This health variant will include bespoke modules covering medical imaging, how artificial intelligence can work hand-in-hand with humans in a healthcare and clinical setting and with real-world healthcare challenges.
In the third semester, you will have the opportunity to choose or design your own research project in a disciplinary area which can relate to your background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner such as our connections to the local NHS providers in Castle Hill Teaching Hospital. Join the AI revolution in improving modern-day medical treatments!
Course Modules
- Programming for AI and Data Science
- Core - 20 Credits
- Understanding Artificial Intelligence
- Core - 20 Credits
- Fundamentals of Data Science
- Core - 20 Credits
- Artificial Intelligence as a Medical Device
- Core - 20 Credits
- Research and Application in Artificial Intelligence and Data Science
- Core - 20 Credits
- Medical Imaging and Artificial Intelligence
- Core - 20 Credits
- Artificial Intelligence and Data Science Research Project
- Core - 60 Credits
Learning Structure
You will study 180 credits over the duration of your course and be taught in DAIM, a centre of excellence created for this course, drawing on expertise from across the whole University.
This course is taught by experts in Artificial Intelligence and data science with backgrounds in the NHS or the Hull York Medical School, as well as highly-cited researchers and brilliant teachers with fellowships of Advanced HE.
Entry Requirements
- A 4-year Honours degree (or equivalent) in any subject that includes a numerical component (i.e. statistical analysis, or formal mathematics, or programming in any given language) with CGPA 2.75 or 55% of marks (or above) from recognised institution.
- Or, should have equivalent industrial experience.
English Language Requirements
Documentary Evidence List
- Academic transcripts (Bachelor degree)
- Degree certificate
- English test (IELTS/ TOEFL/ PTE/ Duolingo - UKVI accepted)
- Statement of Purpose (SOP)
- 2 Recommendation Letters (LORs)
- Updated CV/ Resume
- Research Proposal (for Research/ PhD)
- Work experience certificate(s) (if study gap)
- Passport copy
Study Gaps
For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.
To strengthen your profile, it is important to:
- Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
- Emphasize the skills and experiences you developed during this time that are relevant to the program.
- Demonstrate that your academic qualifications continue to meet the course entry requirements.
Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, fees, entry requirements and any other related information at any time without prior notice. We recommend verifying the latest updates directly with the university.
Last reviewed on 10 September 2025.