Electronic Information Engineering (M.Sc. / P.Grad.Dip / P.Grad.Cert.)

Overview

Course Overview

We are in the next Industrial revolution and the challenge faced by graduates is to succeed in an age of automation. There is no aspect of modern life that is now not altered by information processing engines. Examples include teaching (online learning and assessment), automotive (driverless cars and electronic control systems), the economy (high speed automated trading), entertainment and shopping (virtual assistants and recommendation engines), health (automated diagnostics and non-invasive body scanning) and the digital humanities.

The principles enabling the design of this new wave of products are embodied in the discipline of Information Engineering.

This 1-year full-time or 2 to 3-year part-time postgraduate course is designed to provide graduate engineers with skills to design modern computational products and systems. Graduates specialise in fundamental theory and applications relating to the generation, distribution, analysis and use of information in engineering and science.

Is This Course For Me?

The M.Sc. in Electronic and Information Engineering course is designed for individuals who have a strong academic background in electronic and electrical engineering, computer engineering, or related fields, and who wish to specialise and advance their knowledge in electronic and information engineering.

The course is designed for individuals who are interested in pursuing a career in areas such as telecommunications, wireless communications, data communications, computer networks, software engineering, and signal processing. It is also suitable for individuals who are already working in the industry and wish to enhance their skills and knowledge to progress in their career or change their career path.

Career Opportunities

While some of our students choose to pursue PhD degrees from leading international universities, most of our graduates choose to enter the job market. They have gained employment in various industries, including digital assistive technology (speech recognition and synthesis), automotive systems (remote sensing and cyber physical control), economics (quantitative automated trading), entertainment (audio-video streaming and cinema visual effects), health (medical imaging) and computational science and engineering.

Course Structure

This M.Sc. course can be taken as either over one year as a full-time course or across two to three years part time and consists of taught modules worth 60 ECTS and a project worth 30 ECTS. A specialism in Computational Engineering is available for students selecting at least 15 ECTS from the Computational Engineering strand. M.Sc. candidates complete a substantial project and submit a report which accounts for 30 ECTS.

In addition to direct entry to the M.Sc., parallel Postgraduate Certificate (30 ECTS) and Postgraduate Diploma (60 ECTS) entry routes are available for direct separate application. For students who successfully complete the postgraduate certificate and postgraduate diploma, there is an option to rescind these awards and apply to complete an M.Sc. Part-time students may follow the staged award path over three years of study with a possible gap of up to one year in between.

Course Content

All students aiming for an M.Sc. award are required to take the following core modules: Research Project/Dissertation: Research Methods: Computational Methods: Introduction to Deep Learning.
In addition, candidates select elective modules from the following list of options: Digital Signal Processing; Statistical Signal Processing; Speech and Audio Processing; Spatial Audio; Self Organising Systems; Next Generation Networks; Optimisation and Control; Motion Picture Engineering; Image and Video Processing; Algorithms for Quantum Computing; Cyber-Physical Systems and Control; Simulation for Geophysical Modelling; Computation for Transportation Engineering; Microelectronics; Integrated Systems Design.
Students may opt for the strand in Computational Engineering. In this strand, students must select additional elective modules from the following: Algorithms for Quantum Computing; Cyber-Physical Systems and Control; Simulation for Geophysical Modelling; Computation for Transportation Engineering.
 

Click here for further information on modules/subjects.