Healthcare Technologies and AI MSc

Healthcare technologies are the tools and innovations that power modern medicine.<br/><br/>They bring together engineering, digital devices, sensors, software, and clinical expertise. By bringing these together we can improve how we detect, manage, and treat illness.<br/><br/>Healthcare technologies can be anything from smart diagnostics and wearable monitoring systems to personalised treatments. These are reshaping healthcare and driving more efficient, patient-centred care.<br/><br/>Artificial Intelligence (AI) in healthcare goes far beyond image and signal analysis.<br/><br/>AI combines data science, automation, robotics, and intelligent software systems. It can enhance how care is delivered.<br/><br/>It powers clinical decision support, optimises hospital workflows, and enables personalised treatments. It also drives technologies such as wearable devices, smart sensors, and surgical robotics.<br/><br/>When healthcare technologies are combined with AI, they become even more powerful.<br/><br/>AI-enhanced devices can:<br/><br/><br/>- monitor patients in real time<br/><br/><br/>- personalise treatments<br/><br/><br/>- automate workflows<br/><br/><br/>- support clinical decision-making with unprecedented accuracy<br/><br/><br/>On this course, you will learn how sensors, devices, digital health systems, and AI algorithms come together to solve real clinical problems.<br/><br/>Instead of studying these areas in isolation, you will be trained to think across engineering, computing, and clinical practice. This mirrors how innovation happens in modern healthcare.<br/><br/>You will build a number of practical skills. This will be done through hands-on project work, problem-based learning, and exposure to real healthcare challenges. You will learn to:<br/><br/><br/>- design and evaluate medical and digital health technologies<br/><br/><br/>- apply AI to complex healthcare data, images, and physiological signals<br/><br/><br/>- understand clinical needs. This will allow you to translate them into technological solutions<br/><br/><br/>- navigate regulatory, ethical, and safety frameworks in health innovation<br/><br/><br/>- work effectively with clinicians, engineers, data scientists, and industry partners<br/><br/><br/>Graduates from this course will be equipped for roles across a number of areas. These include:<br/><br/><br/>- medical device companies<br/><br/><br/>- digital health organisations<br/><br/><br/>• AI innovation hubs<br/><br/><br/><br/>- the NHS<br/><br/><br/>- global healthcare technology sectors<br/><br/><br/>Whether your ambition is to develop smarter diagnostic tools, design patient-monitoring systems, or lead AI-driven healthcare projects, this MSc provides the interdisciplinary foundation needed to thrive in a rapidly evolving field.<br/><br/>Throughout this MSc, you will learn through a blend of engineering, computing, and healthcare-focused teaching.<br/><br/>The course will take you from essential foundations to advanced applied skills used in modern health innovation.<br/><br/>In the first part of the course, you will build core knowledge in digital health systems, medical device technologies, AI fundamentals, and data interpretation.<br/><br/>You will explore how sensors, wearables, electronic health records, and intelligent algorithms work in real healthcare environments.<br/><br/>As you progress, the focus shifts towards applied learning.<br/><br/>You will study clinical workflows, human-technology interaction, usability, safety, and regulatory considerations.<br/><br/>Through problem-based activities, you will learn to evaluate existing technologies. This will allow you to develop solutions for real clinical needs.