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Queen Mary, University of London
Comments about Graduate Diploma in Science and Engineering - At the institution - London - Greater London
Entry requirements
For entry onto our Graduate Diploma in Science and Engineering, you should possess a first degree in Computer Science, with sufficient evidence of programming skills, the equivalent of Maths GCSE grade B and related numeracy skills, as well as having conducted a project or equivalent experience as evidence of your ability to study independently.
Academic title
Graduate Diploma in Science and Engineering
Course description
GDip
One year full-time
Programme description
This one-year program is designed to act as a foundation year for overseas students who have completed their first degree in Computer Science, but do not have sufficient qualifications to permit direct entry onto the specialist Masters programmes. The programme is offered jointly between Computer Science and the Language and Learning Unit of the College. All students on the programme will take one compulsory module each semester in English Language and Study Skills as part of their total load of eight course units. All students also take six course units in Computer Science. These units provide a coherent programme of study that, subject to your performance, provide an effective pathway to study Computer Science at Masters level.
Candidates will be able to progress to the linked Computer Science MSc programmes if they have achieved an overall PASS award with an average mark of at least 60 per cent over their academic units (a minimum of four units) and 55 per cent in the two language units (equivalent to IELTS 6.5). This level is consistent with the criteria for entry to the Specialist Masters programs in Computer Science for graduate applicants from outside the College.
Programme outline
Core modules:
* Advanced Program Design (Java)
* Algorithms and Complexity
* Computer Graphics
* Further Networks and Operating Systems
Study options: Students must choose two modules from:
* Interaction Design
* Artificial Intelligence
* Machine Learning and Data Mining
* Computability
Please note module availability is subject to change.