AI and Digital Health University of Westminster

Overview

Benefitting from the UK’s influential role in healthcare data, and the 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.

Career opportunities:

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