UCL Division of Infection & Immunity

Athena SWAN Silver Award

External Seminar
12pm | 16 Apr | Pearson G22 LT
Internal Seminar
1pm | 17 Apr | Cruciform LT2

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iBSc Mathematics, Computers & Medicine

Extraordinary developments in computers and processing power are affecting almost every field of medicine: vast new “big data” sets link an individual’s genetic makeup to behavioural and social data and medical history; miniaturisation is boosting point-of-care diagnostics and real-time physiological monitoring; new imaging modalities are driving the emergence of computational anatomy; robotics are transforming surgery; genomics, proteomics and metabolomics are creating precision medicine.

A new approach is needed to prepare the next generation of doctors to take advantage of this revolution. It is necessary to go beyond generation and classification of data to extract the underlying biology and pathology which they describe. This requires mathematical modelling to formulate rules and relationships to make sense of the data, to use it to predict the future based on the past, and, ultimately, to guide the clinician and establish best medical practice.

The new iBSc Mathematics, Computers and Medicine will capitalise on the wealth of interdisciplinary research at UCL to offer students training and research projects at the frontier between biomedicine, computer science and mathematics.  

The programme, which launches in the academic year 2018/2019, will be run jointly by the Division of Infection and Immunity and the Department of Computer Science. It will provide teaching in advanced mathematics, computer programing, mathematical modelling and analysis of big data.

Aims of the programme:

  • To foster increased awareness, confidence and competence in quantitative approaches to medicine and biomedical sciences.
  • To allow medical students to bridge the interdisciplinary gap between medicine, mathematics and computer science.
  • To train a cohort of doctors who will be at the vanguard of exploiting the data and computational revolutions which will transform medical care in the 21st century.

For more information please contact:

Professor Benny Chain

Email: b.chain@ucl.ac.uk

Page last modified on 09 jan 18 16:02