Artificial Intelligence and Digital Health MSc

Course summary

AI is everywhere. If you want to future-proof your career, a solid understanding of AI is required, including in healthcare. Our MSc in Artificial Intelligence and Digital Health offers a comprehensive and interdisciplinary approach which will equip you with this knowledge and prepare you for the dynamic field of digital health.

Whether your background is in life sciences or computing, we’ll provide you with the necessary tools, methods, and experiences in using AI to analyse complex datasets. These datasets will be drawn from various aspects of healthcare, including diagnosis, disease prevention and wellness promotion. While you complete your bespoke data-intensive dissertation project in health, you’ll have the opportunity to use advanced computational tools and machine learning algorithms to identify novel personalised healthcare interventions.

Benefitting from the UK’s influential role in healthcare data, and our location in London, a hub of global AI development, you’ll learn about datasets, integrating genomic and clinical data from initiatives such as the UK Biobank, Genomics England and Pharm GKB, exploring patterns and hidden associations to inform diagnosis and treatment decisions. With leading companies like Google Deep Mind and the Alan Turing Institute based in London, you’ll be immersed in innovation.

You’ll develop a critical understanding of digital health knowledge bases, algorithms, and emerging trends in AI, whilst acquiring essential skills in data management, visualisation, analysis, and programming languages such as Python and R.

You’ll also consider ethical, social, legal implications (ELSI) and equity, diversity, and inclusion (EDI) related to data generation, handling, mining, and results development. You’ll learn to identify biases, such as those derived from ancestry or sex, in biobanking datasets, and how these biases condition our understanding of the world.

This course will provide you with a robust foundation for a career in this rapidly evolving field. You’ll graduate ready to make meaningful contributions to personalised medicine and address the complex challenges of digital health with ethical considerations and an inclusive global perspective.

Top reasons to study with us

• Be at the forefront – the UK is pioneering advancements in AI and Healthcare, with schemes such as the UK Biobank and Genomics England leading the way, making London the perfect place to study this subject, as it’s a hub for global AI companies and institutions such as Google DeepMind and The Alan Turing Institute.

• Interdisciplinary focus – this course provides a unique opportunity to study at the intersection between healthcare, AI and big data and is suitable for students from either a bioscience or computing background

• Industry relevant skills – our connections to external advisors and organisations including AstraZeneca, GSK and BenevolentAI allow you to gain the practical skills that are in demand in industry

• Exciting research opportunities – our academic team are engaged in cutting-edge research, giving you the opportunity to collaborate in projects including those led by our Health Data Science research group

• Aligned with UN Sustainable Development Goals – we focus on global healthcare challenges that impact the entire world, including underrepresented populations, preparing you to improve global healthcare access

Whether your background is in biosciences or computing, this course will equip you with the specialist knowledge and skills to succeed in the field of digital health and leverage AI to improve patient care. Not only will you gain the technical skills to do this, but you’ll also learn how to apply these skills in a commercial setting, opening up a range of career possibilities in a city like London, which is a hub for healthcare innovation, technology, and research. There’s no better time to specialise in AI and Digital Health as the demand in this field rises, meaning you’ll graduate ready to meet this ever-growing skills gap.

This course will prepare you for a number of roles, including:

• AI researcher
• Data scientist
• Healthcare IT specialist
• Precision medicine consultant
• Researcher/PhD student
• Digital Health Strategist
• Clinical Informatics Specialist
• Bioinformatics Analyst
• AI Policy Analyst
• Genomic Data Scientist
• Digital Health Project Manager
• User Experience (UX) Designer for Digital Health
• Health Data Analyst
• Machine Learning Engineer in Healthcare