MSc Artificial Intelligence in the Biosciences in London United Kingdom | Queen Mary University of London

The use of Artificial Intelligence (AI) technologies in biosciences is growing exponentially, creating high demand for professionals with AI expertise. This program equips bioscience graduates with the skills to lead AI implementation in research and development settings. Specifically tailored for biology and biomedical students without computational experience, it introduces AI concepts, machine learning, and big data analysis through practical learning approaches. No prior coding knowledge required – Master programming, advanced statistics, big data management, and biological AI applicationsAcquire sought-after technical competencies in this fast-evolving fieldExtensive hands-on training using Queen Mary's high-performance computing system, ApocritaLearn from leading researchers actively shaping this innovative discipline - Program Director Dr. Mohamed Elbadawi specializes in healthcare technology innovation, including machine learning and 3D printingAs a member of the Alan Turing Institute and home to the Digital Environment Research Institute (DERI), Queen Mary stands at the forefront of UK AI developmentOur central London location positions you perfectly for career opportunities in the UK's thriving AI sectorThis program opens doors to numerous career prospects in the expanding AI fieldStudents will enjoy extensive networking opportunities with like-minded peersProgram OverviewThis comprehensive curriculum prepares you for careers in bioscience research, consulting, and development. Instruction combines expertise from Biological and Behavioural Sciences and Mathematical Sciences, covering AI applications in biology, ecology, and biomedicine, along with essential skills in big data analysis, programming, and statistics.Semester A focuses on foundational skills: command line operations, HPC usage, programming for statistical analysis, and introductory AI concepts with bioinformatics applications.Semester B explores diverse AI applications in biosciences, examining both established techniques and emerging innovations, alongside advanced statistical methods.Semester C features two collaborative projects applying AI to bioscience challenges. The first project provides clear parameters to develop teamwork skills, while the second presents open-ended problems mirroring real-world R&D scenarios.