Course summary
Applications of Artificial Intelligence (AI) tools in the biosciences are rapidly expanding and bioscientists skilled in the methods and thinking in AI are in short supply. This program aims to prepare bioscience graduates to become leaders in the application of AI methods in professional bioscience R&D workplace environments. It 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.
- No background in computational methods needed – Learn coding, advanced statistical methods, the handling of large data sets, and applications of AI tools across biology
- Develop in demand technical skills for a field that is rapidly growing in importance
- Strong emphasis of hands-on experience in computer labs and projects using Queen Mary’s high performance computing cluster, Apocrita
- Be taught by experts in the field, actively engaged in research in this exciting new area - Programme Director Dr Axel Rossberg is co-organiser of the “Biodiversity, monitoring and forecasting” Special Interest Group at Turing
- Queen Mary is a member of the Alan Turing Institute and host of the Digital Environment Research Institute (DERI), which is amongst the UK's leaders in the development and application of Artificial Intelligence
- Our London location, the hub of the UK AI industry, will place you in prime position for getting a job in the sector when you graduate
Entry requirements
An upper second class degree is normally required, usually in electronic engineering, computer science, mathematics or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student.
You can find tuition fees for each course on the course finder pages on our website: https://www.qmul.ac.uk/postgraduate/
Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS