This programme provides a broad overview of the drug discovery and development process and is designed for graduates in science-based subjects as preparation for either PhD-level research or a career in the pharmaceutical, biotechnology and CRO industries or with a government regulatory body.

Develop your knowledge and understanding of how drugs and medicines are made and used safely with this MSc programme delivered by Scotland's leading pharmacology researchers and bio-entrepreneurs.

The MS program in Artificial Intelligence Engineering in Biomedical Engineering offers students the opportunity to gain mastery of AI and Biomedical Engineering domain expertise while learning how to integrate AI/machine learning approaches with engineering design and system analysis to develop effective solutions in biomedical engineering. This is a three-semester program designed for students with undergraduate degrees in engineering or related disciplines and interests in advanced education in artificial intelligence, machine learning, and their applications in the domain of biomedical engineering. There are four main background areas that are required for this degree program: mathematics, computer programming, scientific and quantitative reasoning, and engineering. The mathematics background should include some exposure to probability and statistics and linear algebra. The computer programming background should include exposure to algorithms and, ideally, some level of application development.

The MPhil in Biotechnology is a unique programme that draws on world-leading academics and industry champions to deliver an in-depth multidisciplinary curriculum at the interface of biology with physical sciences and technology. Providing state-of-the-art education and research training in cutting-edge areas, the programme was designed to respond to major talent needs and skills gaps in the biotech sector.

The 21st Century will be the century of transformational discoveries in the life sciences. To bring these discoveries to patients, the world needs business leaders working at the intersection of science and society, with deep understanding of biotechnology, life sciences, and management. To meet this need, the MS/MBA Biotechnology: Life Sciences Program at Harvard University builds upon students’ existing biotech and life sciences knowledge and equips them with the latest business and scientific insights. This empowers them to lead transformative organizations that will advance new drug discoveries and therapeutics.

This cutting-edge Centre for Doctoral Training (CDT) in Automated Chemical Synthesis Enabled by Digital Molecular Technologies (SynTech) aims to develop a new generation of leaders in synthetic chemistry research with a focus on Machine Learning & Artificial Intelligence-driven techniques.

The UKRI Centre for Doctoral Training in Biomedical Artificial Intelligence grows from the realisation that AI technologies will play a central role leveraging data to transform our understanding and practice of biomedicine. Delivering such a step change will require training a new cadre of scientists operating at the intersection of computer science and biomedicine, building AI systems which are effective, ethical and empowering to scientists and users alike. The CDT offers an interdisciplinary training programme covering technical AI skills, biomedical foundations and individually tailored training on understanding the societal aspects of Biomedical AI. It builds on a collaboration between several centres of excellence within the University with a long history of collaboration: the School of Informatics, the School of Biological Sciences, the MRC Institute of Genetics and Cancer, the Usher Institute of Population Health Science and Informatics, and the School of Social and Political Sciences. Together, these institutes provide a unique breadth and depth of expertise, as well as state-of-the-art computational and experimental facilities, to support the CDT cohorts. Additionally, leading clinical, industrial and international academic partners will provide students with opportunities for hands-on application in a broad variety of contexts.