Biological sciences is more data driven than ever before and bioinformatics is now central to modern biological research. Our degrees in Artificial Intelligence in the Biosciences will prepare you with in-demand skills for this growing area. You will build a strong foundation for PhD training or a rewarding career in the rapidly growing field of Artificial Intelligence, biotechnology, life sciences, environmental and pharmaceutical sectors doing roles such as consultancy, management, research, software development, data analytics or finance.
You will be taught by world-leading academics who are actively engaged in AI centred research, and who have specialist expertise in genome sequencing, proteomics, evolution, ecology, psychology, cancer, diabetes and other diseases. The majority of our lecturers on our programmes are also Fellows of the Alan Turing Institute, the UK's national institute for data science and artificial intelligence.
This programme has been specifically designed to make AI and related computational techniques (machine learning, analysis of large data sets) accessible to biology and biomedical graduate students without any prior experience in computational methods.
The taught modules of our courses provide rigorous training in the computational skills needed to deal with genomes, in statistics and in industry-standard programming languages such as Python and R. These are highly useful genomic skills that will allow you to write software which analyses and visualises data for you. There is a strong emphasis of hands-on experience in computer labs and projects using Queen Mary’s high performance computing cluster, Apocrita
Another advantage of our courses is the close-knit community of our students. We have small cohort of students on the programme, and you'll share some modules with some of the school's other PGT programmes.. During the first semester with the teaching modules, there is a lot of opportunity to interact with the other students. This course has been developed and is taught by experts in their fields. You’ll attend a series of lectures, seminars, tutorials and workshops in the PC laboratory. There will be a mixture of both individual and group-based exercises and discussions.