MSc in Computational Medicine at Sheffield University

University of Sheffield has recently released a new cutting edge programme of study to form a new generation of scientists, using computerised techniques to improve disease diagnosis and treatment in the healthcare sector.

There is a growing need for computer-aided medicine and personalised treatment within the health care service. It's becoming crucial in the testing of new drugs and treatments. The course has been developed in response to this new and emerging trend.

This specialised Masters course is one of a kind and can only be offered to the most outstanding of candidates. The small cohort of students allows for more comprehensive teaching by our collaboration of world-class experts and ensures the quality of the programme.

Where the course will lead

The course will prepare you as the first generation of subject-specific modelling specialists for this emerging industrial sector. You'll receive hands-on training in modelling of the human body using the most advance technologies available to date. You'll have the skills to continue on to one of our own PhD's or move towards employment in biomedical industries, regulatory agencies, research hospitals or new companies offering in silico medical services.

Core Modules

The integrated discipline of computational medicine represents the application of modern computer science, statistics and mathmatics to exploring biological and biomedical problems.

  • Cardiovascular Modelling Skills
  • Musculoskeletal Modelling Skills
  • Experimental Skills for Tissue Modelling
  • Mechanobiology for Medicine
  • Regulatory Affairs for Medical Devices
  • Biomechanics of the Musculoskeletal System
  • Anatomy and Physiology for Engineers
  • Biomechanics of the Cardiovascular System
  • Research Project


Applications are encouraged from undergraduates in the areas of engineering, maths, physics, chemistry, computer science or a related discipline. Applications are subject to a competitive selection processes as there are a limited number of places available on the course.

Further information can be found here

Date: 15/01/2018 | Tag: | News: 722 of 1581
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