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Physics and Engineering in Medicine (Medical Image Computing)


UCL (University College London)

Summary

Price
Study method
Classroom
Duration
5 years · Part-time
Qualification
MSc
Awarded by UCL (University College London)
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

Location & dates

Location
Address
WC1E 6BT
United Kingdom

Overview

Medical image computing is an exciting and rapidly growing field concerned with applying advanced computing techniques to obtain and analyse medical images and better understand, diagnose, and treat human diseases. It is a critical aspect of medical imaging - a field that continues to revolutionise modern medicine and healthcare.

Description

Medical image computing is an exciting and rapidly growing field concerned with applying advanced computing techniques to obtain and analyse medical images and better understand, diagnose, and treat human diseases. It is a critical aspect of medical imaging - a field that continues to revolutionise modern medicine and healthcare.

Department: Medical Physics and Bioengineering

Qualification:

MSc

Qualification Level:

RQF Level 7

Requirements:

Normally a minimum of an upper 2nd Class UK Honours degree or an overseas qualification of an equivalent standard in a physical or applied mathematical science subject, such as physics, engineering, computer science, or applied mathematics. Candidates with other backgrounds may apply and are considered on individual merit, but successful candidates must have studied mathematics and physics at least to A-level standard (or equivalent) and be able to demonstrate a good understanding of basic concepts in computing.

Assessment Methods:

The programme is delivered through a combination of lectures, demonstrations, hands-on practical sessions, hospital visits, and an research project. Lecturers are drawn from UCL and from London teaching hospitals including UCL, St. Bartholomew's, and the Royal Free Hospital. Assessment is through examinations, coursework assignments, and the project dissertation.

Modules:

Core modules: medical imaging (ionising); magnetic resonance imaging and biomedical optics; ultrasound in medicine; clinical practice; programming foundations of medical image analysis; information processing for medical imaging; image processing. Options: Students choose one of the following: computer-assisted and therapy; computational modelling for biomedical imaging.

Source: the courses data has been supplied by the Universities and Colleges Admissions Service.

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