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Intelligent Web Technologies (specialist) – (M.Sc.)
Queen Mary, University of London
Masters Programmes
| Location: | London / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
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| Languages: | English | ||
Location of Queen Mary, University of London
This MSc focuses on advanced study in the development of intelligent technologies on the web, covering web services, software agents, and technologies associated with the semantic web.
This programme provides you with an understanding of the relevant standards and technologies such as XML, XSLT, RDF, RDFS, DAML+OIL, OWL, and the database technologies appropriate for the storage and retrieval of both XML and RDF. You will learn about the tools needed for working with web ontology languages, such as OWL, for analysing intelligent web technologies and supporting the semantic web. You will also gain practical experience with the relevant programming frameworks and APIs (XSLT, DOM, SAX, and Jena). You will be able to apply this knowledge in your project work, developing your own intelligent web system.
The programme is aimed at preparing you both for research study and for specialist employment in a wide range of public and private sectors in web technologies. Typical jobs after graduation include web developer, web master, web architect, e-commerce programmer, portal developer, or mobile services developer.
Contents
Core modules:
* Foundations of Information Retrieval
* The Semantic Web
* XML and Structured Information
* Research Methods (double module)
* MSc Project
Module options include:
* Advanced Database Systems and Technologies
* Advanced Program Design (in Java)
* Algorithms and Complexity
* Computability
* Computational Genomics
* Computer Vision and Neural Networks
* C++ for Image Processing
* Design for Human Interaction
* Distributed Systems and Security
* Entrepreneurship in Information Technology
* Multimedia Systems
* Software Risk Assessment
* Special Topics in Information Retrieval
* Specification and Verification
* Techniques in Computer Vision
Please note that module availability is subject to change.
Assessment The Research Methods modules are assessed through coursework alone. All other modules are examined through a combination of coursework and written examinations taken in May/June. To obtain an MSc, students must gain passes in six of the eight modules taken with an overall average of 50 per cent. In addition to the above, the MSc requires that a satisfactory individual project be completed. MSc students who do not pass the written examinations are only allowed to attempt the project after passing resit examinations the following May
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Requirements
You should possess a good Honours degree (minimum 2.1) with a substantial computer science component (at least half) or equivalent industrial experience. You should also have good programming skills for undertaking the practical elements of the programme.
For international students we require English language qualifications IELTS 6.5, TOEFL (CBT) 237 or TOEFL (written test) 575.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| Cambridge English: Advanced (CAE): | Grade B (Score: 75) |
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