iBSc Mathematics, Computers and Medicine
Our iBSc Mathematics, Computers and Medicine capitalises on the wealth of interdisciplinary research at UCL.
About the programme
A revolution in data acquisition, storage and computational analysis is transforming both biomedical research and medical care in the 21st century. This interdisciplinary iBSc, which has been running since 2018/2019, aims to train a cohort of doctors who will be at the vanguard of implementing and exploiting these exciting changes.
The iBSc is delivered by a partnership between the Division of Infection and Immunity (Faculty of Medical Sciences) and the Department of Computer Sciences (Faculty of Engineering). Both departments run world-class research and teaching programmes.
Our scientists, many with international reputations for research excellence, are committed to research–led teaching and you will have the opportunity to meet many of them during the course.
Learning outcomes
- An appreciation that quantitative approaches can be applied to ANY branch of medicine.
- An opportunity to carry out research at an interdisciplinary frontier of medicine.
- The confidence to exploit mathematics and computers to advance biomedical research and improve patient care.
Apply now through Moodle
Second-year medical students apply via Moodle. Decisions are based on personal statements. External students may apply if spaces are available.
Apply nowKey information and entry
Duration
1 year integrated BSc [Year 3: Medicine MBBS BSc]
Entry requirements
Available to Year 3 students studying the Medicine MBBS BSc. An “A” in A level mathematics or equivalent is required.
Structure
The degree consists of four compulsory core modules, one optional module, and a research project. The research project (INIM0038) will provide first-hand experience at the research interface between biomedical laboratory-based research and mathematical and computational analysis.
Projects may be supervised by appropriate individuals from across the range of UCL faculties; the choice of project will be carried out in discussion with the module lead at the beginning of term 1.
Alternative optional modules can be selected, but these should be discussed and agreed with the programme director.
- Introductory Programming (COMP0066, Term 1)
- Mathematical Methods in Medical Physics (MPHY0017, Term 1)
- Mathematical Modelling in Biomedicine (INIM0004, Term 2)
- Machine Learning for Domain Specialists (COMP0142, Term 2)
- Research Project in Computational Biomedical Sciences (INIM0038)
- Cellular Pathology (INIM0010, Term 1)
- Cellular and Developmental Neurobiology (CELL0003, Term 1)
- Evolution and Infectious Diseases (INIM0015, Term 2)
- Frontiers in Tuberculosis (INIM0046, Term 2)
- Global Eradication of Viruses (INIM0014, Term 2)
- The Immune System, Cancer, and its Treatment (INIM0031, Term 2)
- Immunodeficiency and Therapeutics (INIM0030, Term 2)
- Microbial Pathogenesis (INIM0013, Term 2)
- Viruses and Disease (INIM0012, Term 2)
- Regulatory Genomics and Evolution (BIOL0025, Term 2)
- Cancer Biology (BIOC0017, Term 2)
- Functional Genetics of Model Systems (CELL0013, Term 2)
- Introduction to Biophysics (MPHY0006, Term 2)
- Visual Neuroscience (NEUR0017, Term 2)
- The impact of germline copy-number variation on somatic tumour evolution in non-small cell lung cancer
- Development of the robot maze system for the study of spatial memory in rodents
- Evaluating an automated machine learning model that predicts visual outcomes in patients receiving treatment for neovascular age-related macular degeneration
- Computational modelling of COVID-19: A study of compliance and superspreaders
- Characterising brain microstructure with combined diffusion-relaxometry MRI and machine learning
- Improved prediction of postoperative paediatric cerebellar mutism syndrome using an artificial neural network
Alternative optional modules can be selected, but these should be discussed and agreed with the programme director.
Fees and funding
For information about current tuition fees and funding support, visit the UCL Undergraduate Degrees website.
Medical career
The iBSc Mathematics, Computers and Medicine offers students an invaluable opportunity to bridge the interdisciplinary gap between medicine, mathematics and computer science.
Got questions? Get in touch.
Contact us for further information about the programme.
Teaching admin team
Click to email. ii.infection-immunityadmin@ucl.ac.uk
The Mathematics, Computers and Medicine iBSc was a very refreshing break from pre-clinical medicine. Whilst it’s perhaps not the most relaxing iBSc, you definitely develop skills that I think are going to be genuinely invaluable in the future.
From getting to grips with coding to engaging with conceptually challenging problems, it’s a stimulating departure from the intense memorisation of pre-clinical medicine. The breadth of projects on offer was also really nice!"
What our students say
Hear from some of our students about their experience of studying on our iBSc Mathematics, Computers and Medicine programme.
