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Artificial Intelligence and Digital Health MSc

Overview

The MSc in Artificial Intelligence and Digital Health offers a comprehensive and interdisciplinary approach to equip students with the knowledge and skills required to succeed in the field of digital health and leverage AI to improve patient care.

Course Structure

• Duration: 1 year
• Attendance: Full-time - September 2025, Part-time day - September 2025
• UK Fees: £10,700 *
• International Fees: £17,500 *
• Alumni Discount: See details
• Campus: Cavendish, Central London

Course Summary

AI is everywhere, and a solid understanding of AI is required, including in healthcare. This course provides a comprehensive and interdisciplinary approach to equip students with the necessary tools, methods, and experiences in using AI to analyze complex datasets. These datasets will be drawn from various aspects of healthcare, including diagnosis, disease prevention, and wellness promotion.

Top Reasons to Study with Us

• Be at the forefront – the UK is pioneering advancements in AI and Healthcare, making London the perfect place to study this subject.
• Interdisciplinary focus – this course provides a unique opportunity to study at the intersection between healthcare, AI, and big data.
• Industry-relevant skills – our connections to external advisors and organizations allow you to gain the practical skills that are in demand in industry.
• Exciting research opportunities – our academic team is engaged in cutting-edge research, giving you the opportunity to collaborate in projects.
• Aligned with UN Sustainable Development Goals – we focus on global healthcare challenges that impact the entire world, including underrepresented populations.

Course Team

• Dr Manuel Corpas - Senior Lecturer
• Dr Dipankar Sengupta - Senior Lecturer
• Dr Mahmoud Aldraimli - Lecturer
• Dr Cathy Moore - Lecturer
• Dr Tom Oliver - Lecturer
• Rolf Banziger - Lecturer
• Professor Mohammed Gulrez Zariwala - Professor
• Professor Lewis DARTNELL - Professor
• Dr Nadege Presneau - Senior lecturer

Entry Requirements

• UK:
  • A minimum of a lower second-class honors degree (2:2) in a relevant discipline including health or allied health-related subject, or in social care-related subjects.
  • If your first language is not English, you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.
• EU and International:
  • A minimum of a lower second-class honors degree (2:2) in a relevant discipline including health or allied health-related subject, or in social care-related subjects.
  • If your first language is not English, you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.

Fees and Funding

• UK tuition fee: £10,700 (Price per academic year)
• International tuition fee: £17,500 (Price per academic year)
• Alumni discount: This course is eligible for an alumni discount.
• Funding: There is a range of funding available that may help you fund your studies, including Student Finance England (SFE).
• Scholarships: The University is dedicated to supporting ambitious and outstanding students and we offer a variety of scholarships to eligible postgraduate students.

Teaching and Assessment

• How you’ll be taught: Teaching methods across all our postgraduate courses focus on active student learning through lectures, seminars, workshops, problem-based and blended learning, and where appropriate practical application.
• How you’ll be assessed: Our postgraduate courses include a variety of assessments, which typically fall into three broad categories: written exams, practical, and coursework.

Research Groups

• Health Data Science
• Computational Vision and Imaging Technology

Supporting You

• Study support – workshops, 1-2-1 support, and online resources to help improve your academic and research skills.
• Personal tutors – support you in fulfilling your academic and personal potential.
• Student advice team – provide specialist advice on a range of issues including funding, benefits, and visas.
• Extra-curricular activities – volunteering opportunities, sports and fitness activities, student events, and more.

Course Location

• Cavendish Campus: With state-of-the-art science and psychology labs and refurbished computer suites, our Cavendish Campus offers our science and technology students a range of learning spaces that are both dynamic and inspiring.
• Location: Located in central London:** Our Cavendish Campus is just a five-minute walk from Oxford Street and Tottenham Court Road.