The QS Discover Master's events are designed to provide you with an opportunity to discuss your next career and study moves, with our Recruitment Team giving you personal guidance on which of our courses would be best for you.

Our portfolio of 15 one-year, full-time MSc courses has been designed for the change makers of the future. From taking your first steps into business, to enhancing your financial acumen, or tackling a specialist area of management, we offer a Master's course that can help you to achieve your goals.

Meet with our team in Jakarta and let us help you to make an informed decision about the best route for you.

Come along to one of our 1-2-1 chats, you can talk with either the WBS Recruitment Team or one of our student ambassadors. We're happy to answer all of your question about the application process, our Masters courses, studying at Warwick Business School and life at the University of Warwick!

Members of the Recruitment and Admissions Team along with some of our current students ambassadors.

Come along to one of our 1-2-1 chats, you can talk with either the WBS Recruitment Team or one of our student ambassadors. We're happy to answer all of your question about the application process, our Masters courses, studying at Warwick Business School and life at the University of Warwick!

Members of the Recruitment and Admissions Team along with some of our current students ambassadors.

Prof Gabriele Sosso, from the Department of Chemistry, will be running an interactive talk aimed at A-Level (or equivalent) Chemistry students about Machine Learning for Drug Design.

Machine learning is increasingly shaping modern science, and drug discovery is no exception. With chemical space containing millions of possible compounds, the ability to predict which molecules are worth synthesizing is becoming a crucial tool for researchers. In this talk, we will explore how machine learning can assist in identifying promising drug candidates by leveraging existing datasets and computational models.

The discussion will connect key concepts from A-level Chemistry, Mathematics, and Biology, such as molecular structure, solubility, and statistical models, to the challenges of pharmaceutical research. We will also examine the limitations of machine learning, addressing common misconceptions and highlighting where human expertise remains essential.

By the end of the talk, you will have an understanding of how computational approaches complement experimental drug design and how machine learning is being integrated into the broader landscape of chemical and biomedical research.

Session is a taster session aimed at year 11/12 students who are interested in finding out more about Chemistry at University of Warwick