Advanced Computer Science with Placement

Computer Science is one of the fastest moving academic disciplines and the outcomes of research and innovation in this field have a massive social impact. The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.

Core to this programme is the opportunity to further develop the scope of your problem solving skills by studying advanced programming languages and new programming paradigms. A module in e-commerce and innovation will enhance your transferable skills and employment prospects. You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. In 2012-13 optional topics will include Web and Social Computing and Forensics, Trust and Identity (which includes the opportunity to gain external accreditation for use of forensic tools including the market-leading Micro Systemation XRY forensic software).

During the summer months you will undertake an individual research project and complete a dissertation under the supervision of a member of academic research staff. The topic for this will be driven by your own interests.

Successful graduates will be able to demonstrate to employers both a deep understanding and broad knowledge concerning state-of-the-art computer science from a research and development perspective. 60 credits of the 180 credit programme concern the dissertation and individual supervision.

Full time students may choose to apply for a paid 12-month work placement to be undertaken on completion of Spring semester and before completing the MSc programme with a 60 credit dissertation. Subject to satisfactory progress we will support you with our professional and experienced work placement consultants who aim to satisfy your individual preferences. You will gain professional recognition of your placement through our accredited internship programme.

Special Features
Full time students may choose to apply for a paid 12-month work placement.

Available Modules

* Computational Operational Research
* Dissertation
* Distributed and Cloud Computing
* E-Commerce and Innovation
* Forensics, Trust and Identity
* High Performance Computing
* Human Centric Computing
* Informatics
* Information, Network and Cyber Security
* Pattern Recognition & Data Mining
* Programming Paradigms
* Visual Computing
* Web and Social Computing

Applicants will normally possess a good (2.1 or above) honours degree in computer science, computing or a cognate subject.Applicants whose first language is not English are normally expected to meet the minimum University requirements (e.g. 6.5 IELTS, with at least 6.0 in each area). English Language Requirements IELTS band: 6.5 CAE score: (read more) Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IETLS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever. 75 (Grade B) TOEFL paper-based test score : 600 IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa. The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.