Digital Communications Networks at University of North London United Kingdom
The course develops specialist knowledge and skills in modern communications systems, including networking, modern signal processing and advanced topics in communications. The blend of taught subjects and industrially oriented projects provides you with the necessary, up-to-date knowledge you need to join the fast-moving area of global communications. Networking with commercial and industrial applications is a rapidly expanding area with major skills shortages. The course aims to develop expertise in these areas and to prepare you to adapt to future changes.
The University has a long and strong history of communications technology courses and is recognised as a CISCO Regional Academy and these links have benefited the MSc course. Communication networks expansion is continuing not only in technologically advanced countries but also in emerging countries and the developing countries.
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The MRes prepares you for higher level research and is of interest to those who want to develop academic research skills; to work as a researcher; to commission research or progress to PhD. The MRes also enables you to show your research skills and capacity within professional or specialist employment.
Recent years have seen a rapid growth in the communications industry with the development of optical fibre communications systems, mobile telephone networks and high-speed data highways. The aims of the course are to familiarise you with the engineering fundamentals that underlie all modern communications systems, and to enable you to specialise in your chosen industry sector. This course is less mathematical than a Bachelor of Engineering (BEng) degree.
Course structure
Three levels, each of 120 credits. If you take a Joint you study each subject for 60 credits at each level. See page 40.
Level 1 modules include
Electrical Principles 1
Introduction to Communications
Introduction to
The growth of mass communications is inextricably linked with the development of the modern world. Developments in media technology have had a major impact, and an understanding of these powerful forces is vital to our understanding of the political and cultural world today. This course examines the political, technological and economic dynamics of the contemporary multicultural international communications sector.
Course structure
Three levels, each of 120 credits. For this Joint you study each subject for 60 credits at each level. See page 40.
Level 1 modules include
History of the Mass Media
Information and Social Exclusion
Introduction to Digital Media
Trends in Contemporary Society 1
Level 2
Mass communications is an influential and expanding area of learning and research within the social sciences. New technologies in broadcasting, telecommunications, print and other industries have revolutionised the way we exchange information, do business, talk to, entertain and understand each other.
This postgraduate course provides a critical consideration of the economics, culture, politics and sociology of mass communications on a global, national and local scale. It examines fundamental issues in mass communications theory and assesses ongoing developments in the area of global communications, media regulation, media policy and communications technologies.
An advisory board, consisting of leading industry professionals from television, radio,
BSc in Communication Technologies in the Business Environment Programme outline at Queen Mary and Westfield College University of London United Kingdom
Year 1
Telecoms and Internet Fundamentals
Programming Fundamentals
Fundamentals of Management
Discrete Techniques for Computing
Introductory Java Programming
Professional Applications
Internet Programming
Economics for Business
Year 2
Design and Build Project
Telecoms Systems
Software Engineering
Financial Accounting
Internet Applications
Network Programming
Internet Protocols
Marketing
Year 3
Individual Project
Information Systems Management
Software Tools for Engineers
Human Resource Management
Strategy
Artificial Intelligence
Coding theory
Communication networks
Digital image processing
Distributed computation and networks
Information theory
Mobile radio communications
Network security
Optical communications
Spectral estimation and adaptive signal processing
Speech processing
Traffic theory and queueing systems
Wavelets and applications
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