There is an urgent need for leaders of AI implementation across the healthcare workforce of the UK and worldwide. The MSc AI Implementation (Healthcare) programme is designed to address this critical need, equipping you with the expertise to advance responsible and impactful AI innovations at scale across healthcare systems globally.
Whether you come from a clinical, technical, or operational background, this programme will prepare you to lead multidisciplinary teams to deliver AI-enabled benefits to patients and services. The modular design of the programme accommodates varied career stages and learning goals through diploma and part-time options.
The course provided a comprehensive and accessible introduction to AI in healthcare, starting from foundational concepts ideal for beginners. I particularly appreciated the well-balanced integration of theory, hands-on practical exercises, and expert-led fireside discussions, which bridged academic learning with real-world applications. The opportunity to engage and network with a multidisciplinary cohort of teaching staff and participants significantly enhanced the overall learning experience.
Course Structure This course will run over 12 months if taken full-time. There's also scope to undertake the programme on a part-time basis.
While the exact content may change, here’s what you can expect to study each semester. This is based on a full time Masters course.
The first semester covers methods to identify and characterise clinical needs that present impactful opportunities for innovation. Pragmatic insights into the risks and benefits of a contemporary range of AI technologies for different innovation targets are gained, without any need for coding skills.
The second semester introduces the regulatory framework for healthcare technologies, focusing on the implications for AI products. The curriculum covers methods for local governance and evaluation within healthcare organisations, along with legal and ethical responsibilities.
A practice-oriented capstone project prepares graduates for roles in AI implementation within healthcare. Drawing on insights from the entire programme, participants will create a dissertation centred on an AI healthcare application of their choice, offering the opportunity to apply knowledge and skills to a real-world problem that aligns with their personal interests.
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To gain a place at Birmingham you will need to meet our general entry requirements, as well as those specific to your course. Your application will be reviewed by the course’s Admissions Tutor, who will decide whether your application should receive an offer.
English language requirements If you are an international student, you will need to demonstrate you have a suitable level of English proficiency, usually through the form of an IELTS or equivalent qualification or a Presessional English course.
For this course we require IELTS 6.5 with no less than 6.0 in any band, which is equivalent to:
If you have a conditional offer for Birmingham where English is a requirement, you can take a Presessional English course as an alternative to retaking IELTS or a similar qualification. We offer on-campus courses all year round starting from September including additional online courses in the summer term. Teaching takes place in small classes with no more than 18 students to maximise class participation.