Health Data Science

Entry requirements

Months of entry

September

Course content

This unique programme provides a blend of theoretical knowledge and practical experience, preparing graduates for impactful careers in the rapidly growing field of health data science. You'll be equipped with skills in AI, health data and advanced computing required to shape the future of the clinical and biomedical worlds.

Learn about the breadth of health data science and AI. This programme explores everything from medicine, biology, and healthcare systems to ethics, clinical practice, machine learning, mathematical modelling, and computer science.

Throughout our course, you’ll also gain hands-on experience tackling real-world data analytics problems and developing practical solutions.

This programme takes you into the fascinating world of cutting-edge technology, health data, and the limitless potential of artificial intelligence. We’ll teach you how to design, perform, and enhance analyses using the latest methods and technologies to address practical medical and clinical questions.

You'll learn about the breadth of health data science and its applications. You'll also learn how to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions.

In addition, you'll receive comprehensive training in clinical bioinformatics, health informatics, epidemiology, clinical systems, integrated multimodal data analysis, and omics analytics. Our approach ensures you gain the skills needed to innovate and excel in the evolving landscape of health data science.

• Develop Computational Expertise: Acquire essential computational techniques for analysing health data, with no prior computing experience required.
• Explore Healthcare Systems: Gain in-depth knowledge of healthcare systems, including their operational structures, ethical considerations, and governance frameworks.
• Harness Transformative Potential: Discover how health data science can revolutionise healthcare by leveraging patient-specific information, such as electronic health records and genomics, to drive advancements in research, clinical care, and innovation.

Fees and funding