University of Sheffield Launches MSc in Artificial Intelligence for Life Sciences

The University of Sheffield, UK, has launched a new MSc in Artificial Intelligence for Life Sciences for 2027 entry, equipping students with the AI and computational skills to explore how artificial intelligence can be applied to research challenges across the life sciences. Applications are now open. Students will master the knowledge and computational skills behind artificial intelligence models and their application to biological datasets, preparing them to play their part in accelerating research and discovery in the life sciences.

The one-year, full-time MSc Artificial Intelligence for Life Sciences combines theoretical teaching with hands-on computational practice. Students will explore the links between biological brains and artificial agents, develop fundamental computational skills, and learn how AI is being applied to challenges across the life sciences. The interdisciplinary course brings together perspectives from biosciences, psychology, health, engineering and beyond. Students will develop skills in R and Python programming, machine learning, statistics and mathematics, before exploring applications of AI including natural language processing for text analysis and reviewing medical images.

Dr Nemanja Vaci, Director of Postgraduate Taught Studies, School of Psychology, said: "AI is becoming central to the future of life sciences research. This masters course brings together expertise in neuroscience, advanced research methods, computational approaches, and biosciences to offer a distinctive interdisciplinary programme. Students will graduate with the computational, scientific, and analytical skills that open opportunities across research, healthcare, biotechnology, data science, and the wider AI sector." A major part of the course is the research project in artificial intelligence for life sciences, where students apply their knowledge and computational skills to a wider research challenge, either independently or as part of a small team under academic supervision.

Example projects could include automated segmentation and 3D volume reconstruction of skin tissues imaged using optical coherence tomography and using natural language processing to predict readiness to engage in psychotherapy from clinical documents. Students will learn through lectures, seminars, hands-on workshops, practical computational sessions and individual research. Assessment is primarily courseworkbased, including written exercises, oral presentations and a written research report. The MSc is open to holders of a three-year bachelor's degree with a minimum of 60% from a recognised university in a relevant subject, with relevant modules. Applicants should also have studied at least one module covering Probability, Statistics or Quantitative Analysis. The University accepts degrees in biosciences, chemistry, cognitive science, computer science, engineering, mathematics, neuroscience, physics and psychology.

Applicants must have a minimum IELTS score of 6.0, with no component below 5.5. The annual overseas tuition fee for the 2027-28 academic year is £32,155. The University of Sheffield is also offering the International Postgraduate Scholarship 2027, worth £7,000, to international students from selected regions, including India. The scholarship will be awarded automatically as a tuition fee reduction to eligible students who accept their admission offer from the University of Sheffield before 4.00pm (UK time) on Tuesday 6 July 2027. No additional application is required. Graduates of the MSc in Artificial Intelligence for Life Sciences will be well-prepared for careers using AI and computational skills to address research challenges across the life sciences, with opportunities in academia and industry. For those looking to continue their research training, the MSc provides a strong foundation for pursuing a PhD using AI techniques to tackle challenging problems in the biosciences, psychology, health, engineering and beyond.