StudyQA — Master: Computer Science — Queen Mary University of London

Description Contents Requirements Funding

The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

You will be able to shape your programme to match your interests and career ambitions, choosing modules from a range of areas, including the development of human– computer communications (dialogue systems), ubiquitous computing, applying interactive digital multimedia techniques, security and surveillance, and building decision-support tools for uncertain problems in various contexts (eg legal, medical, safety). This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

This programme will:

Allow you to personalise your programme through a wide range of employment-relevant module choices.
Build your links with industry and potential employers, we have excellent links with industry, working together on commercial and research projects.

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Core module

MSc Project

Option modules

Advanced Database Systems and Technology
Advanced Program Design
Big Data Processing
Business Technology Strategy
Design for Human Interaction
Foundations of Intellectual Property Law and Management
Functional Programming
Information Retrieval
Interactive System Design
Introduction to Computer Vision
Introduction to Law for Science and Engineering
Machine Learning
Mobile Services
Program Specifications
Real-Time and Critical Systems
Security and Authentication
Software Analysis and Verification
Bayesian Decision and Risk Analysis
Techniques for Computer Vision
The Semantic Web
XML and Structured Documents

Requirements

An upper second class degree is normally required, usually in electronic engineering, computer science, maths or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.
For international students we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).
Degree transcripts. Please provide a transcript of your degree(s). If you have not yet completed your degree please provide a transcript of your results achieved to date.
If your degree was from an overseas institution, you should supply a transcript of your marks for each year of your studies and a copy of your degree certificate together with a certified translation if the document is not in English. Please note that original documentation will be required before you enrol. International applicants are also advised to include high school transcripts
Please provide the contact details of two referees, at least one reference must be from an academic referee who is in a position to comment on the standard of your academic work and suitability for postgraduate level study. Where appropriate, a second referee can provide comment on your professional experience.
Curriculum Vitae (CV)/ Resume
Statement of purpose. Your statement of purpose should explain why you want to study your chosen programme and how it will help your life and career. This should typically be one side of A4 paper.