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IN BRIEF. Great employer demand for graduates of this course. Access to excellent facilities including over 20 wind tunnels and a DC10 jet engine. Read more

IN BRIEF:

  • Great employer demand for graduates of this course
  • Access to excellent facilities including over 20 wind tunnels and a DC10 jet engine
  • Accredited course by the Institute of Mechanical Engineers, giving you the opportunity to achieve chartered engineer status
  • International students can apply

COURSE SUMMARY

The aerospace industry is at the forefront of modern engineering and manufacturing technology and there is an expanding need for highly skilled chartered Aerospace Engineers.

If you are looking to pursue a career in aerospace engineering this course will enable you to apply your skills and knowledge of engineering devices and associated components used in the production of civil and military aircraft, spacecraft and weapons systems.

This module has been accredited by the Institution of Mechanical Engineers. On graduation you be able to work towards Chartered Aerospace Engineer status which is an independent verification of your skills and demonstrates to your colleagues and employers your commitment and credentials as an engineering professional.

TEACHING

The course will be taught by a series of lectures, tutorials, computer workshops and laboratory activities.

Some modules will include a structured factory visit to illustrate the processes and techniques and to enable investigations to be conducted.

Engineers from the industry will contribute to the specialist areas of the syllabus as guest lecturers.

ASSESSMENT

The coursework consists of one assignment, and two laboratory exercises.

  • Assignment 1: Control design skills. (30%)
  • Laboratory 1: Feedback control design skills and system modelling skills. (10%)
  • Laboratory 2: Flight dynamics (10%)
  • The first 5 assignments are of equal weighting of 10%, assignment 6 has a weighting of 20%
  • Assignment1: Matlab programming skills assessed.
  • Assignment2: Simulink/ Matlab for control programming skills assessed.
  • Assignment3: Matlab simulation skills assessed.
  • Assignment4: Matlab integration skills assessed.
  • Assignment5: Matlab matrix manipulation knowledge assessed.
  • Assignment 6: Aerospace assembly techniques.

FACILITIES

Mechanical Lab – This lab is used to understand material behaviour under different loading conditions and contains a tensile test machine and static loading experiments – typical laboratory sessions would include tensile testing of materials and investigation into the bending and buckling behaviour of beams.

Aerodynamics Lab – Contains low speed and supersonic wind tunnels – typical laboratory experiments would include determining the aerodynamic properties of an aerofoil section and influence of wing sweep on the lift and drag characteristics of a tapered wing section.

Composite Material Lab – This lab contains wet lay-up and pre-preg facilities for fabrication of composite material test sections. The facility is particularly utilised for final year project work.

Control Dynamics Lab – Contains flight simulators (see details below) and programmable control experiments – typical laboratory sessions would include studying the effects of damping and short period oscillation analysis, forced vibration due to rotating imbalance, and understanding the design and performance of proportional and integral controllers.

Flight Simulators

Merlin MP520-T Engineering Simulator    

  • This simulator is used to support engineering design modules, such as those involving aerodynamics and control systems by giving a more practical experience of aircraft design than a traditional theory and laboratory approach. As a student, you'll design and input your own aircraft parameters into the simulator before then assessing the flight characteristics.
  • The simulator is a fully-enclosed single seat capsule mounted on a moving 2-degree of freedom platform which incorporates cockpit controls, integrated main head-up display and two secondary instrumentation display panels.
  • An external instructor console also accompanies the simulator and is equipped with a comprehensive set of displays, override facilities and a two-way voice link to the pilot.

Elite Flight Training System    

  • The Elite is a fixed base Piper PA-34 Seneca III aircraft simulator used for flight operations training and is certified by the CAA as a FNPT II-MCC Multi-Crew Cockpit training environment. It has two seats, each with a full set of instrumentation and controls, and European Visuals, so you see a projection of the terrain that you're flying through, based on real geographic models of general terrain and specific airports in Europe.

EMPLOYABILITY

This is a highly valued qualification and as a graduate you can expect to pursue careers in a range of organizations around the world such as in aerospace companies and their suppliers, governments and research institutions.

FURTHER STUDY

You may consider going on to further study in our Engineering 2050 Research Centre which brings together a wealth of expertise and international reputation in three focussed subject areas.

Research at the centre is well funded, with support from EPSRC, TSB, DoH, MoD, Royal Society, European Commission, as well as excellent links with and direct funding from industry. Our research excellence means that we have not only the highest calibre academics but also the first class facilities to support the leading edge research projects for both post-graduate studies and post-doctoral research.

Visit http://www.cse.salford.ac.uk/research/engineering-2050/ for further details.




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A higher degree by research involves training in research methods and systematic, high level study of a research project. The nature of the work and the time it takes to finish the research means a research degree is demanding and needs great commitment. Read more

A higher degree by research involves training in research methods and systematic, high level study of a research project. The nature of the work and the time it takes to finish the research means a research degree is demanding and needs great commitment.

You must present your results in a thesis, explain the methods used in your research and defend them in an oral examination.

To get an MPhil you must critically investigate and evaluate an approved topic and display an understanding of suitable research methods.

Materials and Engineering Research Institute (MERI)

MERI is a multi-disciplinary research institute encompassing four research centres each with their own specialist groups operating within them. We undertake high quality academic research across a range of disciplines and apply this research knowledge in a commercial and industrial context. Research areas include • polymers and composites • solar energy • structural integrity and corrosion • functional coatings • simulation and modelling • robotics.

In the 2008 Research Assessment Exercise we were the leading post–92 university in metallurgy and materials (UoA29). 75 per cent of our staff were judged to be internationally leading and we obtained a Times Higher Education average score of 2.15 reflecting the quality of our work and world class staff.

Our staff include • chemists • materials scientists • physicists • computer scientists • mechanical, electronic and electrical engineers, all working on individual or collaborative projects shared between research centres. Supported by a £6m equipment base, which will shortly undergo a £4m refurbishment, this inter-disciplinary approach enables us to solve complex problems ranging from fracture of artificial implants through to designing surfaces that can withstand frictional temperatures in excess of 1,000 degrees centigrade. Solutions to these kinds of problems put MERI at the top in terms of industrial collaboration.

The Materials Research and Analysis Service (MARS) is also a key strength in the research institute, established to provide regional business with access to research facilities and analysis, which enhances the capability of companies in terms of new and improved products.

Evidence of MERI’s research strength is reflected in the patent portfolio that currently consists of 22 granted patents with another 17 applications in progress.

MERI is made up of five centres of excellence

  1. The Thin Films Research Centre
  2. The Centre for Automation and Robotics Research
  3. The Polymers Nanocomposites and Modelling Research Centre
  4. The Structural Materials and Integrity Research Centre
  5. Materials Analysis and Research Services, Centre for Industrial Collaboration (MARS) (CIC)

Course structure

Training and development

An extensive range of training and development opportunities are available to doctoral researchers through the doctoral skills training series and MERI-based training.

MERI training:

Skills training for postgraduate research

This course will comprise 4 main sessions:

  • getting the most out of supervision
  • development needs analysis and personal development plans
  • research integrity and intellectual property
  • getting the most out of conferences

All of the sessions are mandatory for all MERI research students.

Weekly seminar programme

Speakers are invited weekly to discuss their latest research with our staff and students.

Research ethics

This session introduces you to the principle of research ethics and the Sheffield Hallam procedures for ethical clearance. It will also involve you doing an initial ethic checklist for your research project and introduce the online EPIGIUM module ethics 1, which all Sheffield Hallam research students must complete.

RefWorks

RefWorks is a web-based bibliographic system with which you can build up a database of all of your reference material. It is flexible and very powerful, particularly when it comes to outputting reference lists for papers and thesis.

Introduction to bibliographic databases

As a researcher it is vital to be able to access relevant high level information. Here you learn more sophisticated information retrieval skills and see how to use subject specific databases relevant to your research area.

Health and safety for postgraduate research

The session aims to provide clear health and safety guidelines for new postgraduate researchers around personal safety and safety of others within the university environment, including and laboratories & workshops.

Advanced measurement techniques

This module aims to equip you with the skills and knowledge to make informed decisions on experimental materials analysis techniques. A number of techniques are demonstrated, the emphasis being on what each can achieve and the potentials for synergy from combining results obtained using from different techniques. This promotes effective decision making in research planning and operation, as well as a broad understanding of what different approaches can be used for.

MATLAB

MATLAB is a powerful programming language for numerical computations. It is employed in a range of industrial and academic environments. MATLAB has numerous built-in functions for engineering, physical, graphical, mathematical and computing applications. Besides this it has a variety of specialised toolboxes for specific applications, such as control systems, machine vision, signal processing and many others. MATLAB also has the symbolic toolbox that allows operating on symbolic expressions. In the first sessions we will cover MATLAB fundamentals, and the following sessions will be tailored to the specific research needs of attendees.

MERI research symposium event

The MERI Research Symposium is an excellent opportunity for both staff and students who are either active researchers, or who are interested in engaging in research, to meet with colleagues from across the faculty, to raise awareness of current research projects. The event will incorporate talks from academic staff and second year MERI PhD students, with poster presentations from final year undergraduate engineering students and first year MERI students.

Poster preparation

This course is aimed at first year students to give tips and techniques on how to prepare for the MERI Research Symposium Event, at which they will present a poster.

Talk preparation

All second year students are required to give a talk at the MERI Research Symposium Event.

Assessment

Thesis followed by oral examination

Employability

Research degrees are a vital qualification for most academic careers, and for professional specialisation and development in an existing or planned career. The rigorous analytical thinking they involve also demonstrates ability to potential employers in all areas of work.



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Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. Read more
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:
-Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
-Applications of calculus and statistical methods
-Computational intelligence in finance and economics
-Financial markets

You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-CCFEA MSc Dissertation
-Financial Engineering and Risk Management
-Introduction to Financial Market Analysis
-Learning and Computational Intelligence in Economics and Finance
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Big-Data for Computational Finance (optional)
-Industry Expert Lectures in Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Artificial Neural Networks (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-Machine Learning and Data Mining (optional)
-Trading Global Financial Markets (optional)
-Creating and Growing a New Business Venture (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Constraint Satisfaction for Decision Making (optional)

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This programme provides the skills and knowledge required for a career in water and environmental management. You will acquire academic and practical skills, as well as developing a detailed knowledge of fundamental environmental processes and the ways in which these need to be managed sustainably. Read more
This programme provides the skills and knowledge required for a career in water and environmental management. You will acquire academic and practical skills, as well as developing a detailed knowledge of fundamental environmental processes and the ways in which these need to be managed sustainably. The programme is taught by leading practitioners, including personnel from the Environment Agency and the Department of Environment, Food and Rural Affairs.

Programme structure

Core units
Core units provide a common platform of underpinning skills and knowledge at Master's level in the basics of water and environmental management. The units aim to provide you with mathematics, computing and research skills, together with a firm understanding of fundamental processes that govern water movement through the atmosphere, atmosphere-biosphere interactions and water flows through river catchments. These units also explore how this fundamental understanding leads to environmental management, policy and legislation at local, national and international levels. Core units include:
-Research Skills
-Environmental Management, Policy and Regulation
-Terrestrial Hydrometeorology
-Surface and Groundwater Hydrology
-Introduction to Environmental Statistics using MATLAB
-Numerical Analysis using MATLAB

Optional units
Optional units provide specialist knowledge in a range of carefully chosen options. You choose two units from the following list:
-Environmental Systems and Ecosystems Services
-Integrated Catchment Management
-Water Resources Engineering

Please note that the availability of elective modules is subject to sufficient demand.

Dissertation
-The programme is completed by submitting a research-based dissertation.

Careers

Students who have completed this programme have gone on to work for government agencies both in the UK and overseas, for water companies and for environmental consultancies.

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How can we prevent another financial crisis? Is it by better understanding risk in financial securities? Can improving the way we measure and manage risk create stability in the financial world?. Read more
How can we prevent another financial crisis? Is it by better understanding risk in financial securities? Can improving the way we measure and manage risk create stability in the financial world?

The after effects of the 2008 financial meltdown are still being felt across the globe. We need knowledgeable financial professionals who can evaluate risk, act rationally and understand the economic impact of their actions in order to find solutions. If you can rise to the challenge of making ethical, sound financial decisions in pressurised environments, MSc Financial Engineering and Risk Management is for you.

You follow advanced, contemporary study in financial engineering and risk management and develop a deeper understanding of the risks within modern financial securities. You also become skilled in the design of robust management systems to measure risk. Upon graduation, you should possess the skills and knowledge for a successful career in commercial, investment and central banks, hedge funds, regulatory authorities and rating agencies.

You master areas including:
-Asset pricing
-Derivative securities
-Financial modelling
-Mathematical research techniques using Matlab

MSc Financial Engineering and Risk Management is taught at Essex Business School, home to one of the largest, and most respected, finance groups in the UK. Our teaching is grounded in contemporary issues and professional practice, supported by industry-standard facilities, such as our Bloomberg virtual trading floor.

We’re ranked in the top 25 in the UK for research excellence (REF 2014) and are home to an international community of scholars, practitioners and academics; our current Masters students join us from more than 40 countries.

This course is also available to study part-time and you may be able to apply for scholarships and discounts offered by the University of Essex. Essex Business School also offers a limited number of scholarships for the CFA level one exam and IMC level one and two exams to exceptional Masters students.

Essex Business School is an IMC Advantage Partner and a Recognised Partner of the CFA.

Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Our expert staff

We’re home to Essex Finance Centre, which produces research at the cutting-edge of financial debate.

Work by our expert staff has been discussed in the Bank of England, the European Central Bank and the Federal Reserve, so you join a business school that seeks to make a real difference to solving financial challenges around the world.

We combine academic experience with industry expertise and are renowned for research into:
-Business ethics and corporate social responsibility
-Organisation studies
-Leadership and strategy
-Finance and banking
-Risk management
-International management

Specialist facilities

You’re based at our Colchester Campus, in our landmark zero carbon building.

Our Colchester home is an example of our dedication to sustainable and ethical business practices. Its design is both environmentally friendly and architecturally stunning, with a winter garden and sun terrace contributing to the building’s own micro-climate and providing a tranquil environment for group working and socialising. Our Bonds café is located on site, making a great space for reviewing course notes before lectures.

Our virtual trading floor, complete with Bloomberg Financial Market Labs, enables you to practice dealing stocks and securities using industry-standard equipment. You can also benefit from our study skills workshops, designed to help you excel in your academic work.

Our building is also located on the University’s Knowledge Gateway, providing potential opportunities to network with inspiring SMEs who locate their businesses on our Colchester Campus.

Your future

An Essex Business School education is founded on creativity, innovation and ethical awareness to prepare you for the challenges of the global marketplace. In 2015, 78% of our postgraduate taught students were in work or further study (DLHE).

Our course provides you with the opportunity to develop a career in financial analysis, management, public administration and accountancy, as well as fostering your entrepreneurial spirit.

We provide plenty of support along the way to help you secure your dream job. Our dedicated employability team work closely with the University’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Finance and Investment: Dissertation
-Finance Research Techniques Using Matlab
-Research Methods in Finance: Empirical Methods in Finance
-Postgraduate Mathematics Preparation
-Risk Management
-Financial Modelling
-Asset Pricing
-Derivative Securities
-Trading Global Financial Markets (optional)

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On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling. Read more
On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling.

We enable you to attain an understanding of financial markets at the level of individual trades occurring over sub-millisecond timescales, and apply this to the development of real-time approaches to trading and risk-management.

The course includes hands-on projects on topics such as order book analysis, VWAP & TWAP, pairs trading, statistical arbitrage, and market impact functions. You have the opportunity to study the use of financial market simulators for stress testing trading strategies, and designing electronic trading platforms.

In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on areas:
-Statistical and computational methods
-Modelling trading strategies and predictive services that are deployed by hedge funds
-Algorithmic trading groups
-Derivatives desks
-Risk management departments

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. We are supported by Essex’s highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

More broadly, our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-CCFEA MSc Dissertation
-Big-Data for Computational Finance
-High Frequency Finance and Empirical Market Microstructure
-Introduction to Financial Market Analysis
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Trading Global Financial Markets
-Cloud Technologies and Systems (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Financial Engineering and Risk Management (optional)
-High Performance Computing (optional)
-Industry Expert Lectures in Finance (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Text Analytics (optional)

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Our MSc Electronic Engineering enables you to acquire the essential knowledge, skills, competency, and critical awareness necessary for a rewarding career in the electronics industry. Read more
Our MSc Electronic Engineering enables you to acquire the essential knowledge, skills, competency, and critical awareness necessary for a rewarding career in the electronics industry. We prepare you for a career in analogue and digital circuit design, an area with a major skills shortage worldwide and particularly in the UK.

The content of our course is far-reaching and includes theory, practice, simulation and realisation underpinned by our 40 years of expertise in electronics and telecommunications.

Our course brings together our teaching, research and industrial contacts to form a vocational offering with enhanced postgraduate employability. You will be equipped with skills in the areas of:
-Analogue and digital design
-CAD and IC design
-Time and frequency domain analysis
-Fault analysis
-Embedded processing
-DSPs and fast prototyping

All of your acquired knowledge culminates in a project which sees the design, simulation, construction, testing and manufacture of a complex electronic system aimed at the industrial or consumer markets.

Our School is a community of scholars leading the way in technological research and development. Today’s electronic engineers are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top engineers, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

We have been one of the leading electronics departments in the country throughout our history, and in recent years, our prolific research staff have contributed to some major breakthroughs.

We invented the world's first telephone-based system for deaf people to communicate with each other in 1981, with cameras and display devices that were able to work within the limited telephone bandwidth. Our academics have also invented a streamlined protocol system for worldwide high speed optical communications.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

There are career opportunities for well-qualified electronics design engineers in the avionics, automotive, entertainment and consumer product markets, and within companies such as Siemens, Fujitsu, Sony, Toshiba, Nokia, Samsung, LG, Apple, Microsoft, Intel, Dell, Sharp, Canon, Acer, Levono, Hitachi, Epson, Philips, Nikon, Pioneer, TCL, and JVC, all of whom are searching for competent designers.

A number of careers are also available through local SMEs, geographically close to Essex, who account for a significant proportion of the workforce, both in the UK and on the continent.

Our recent graduates have gone on to work for a wide range of high-profile companies including:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Electronic System Design & Integration
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Programming in Python
-Theory of Signals and Systems
-Advanced Embedded Systems Design (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-High Level Logic Design (optional)
-Intelligent Systems and Robotics (optional)
-IP Networking and Applications (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Mobile Communications (optional)
-Networking Principles (optional)

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Our graduates work in major telecommunications companies around the world. We have run this course for over 25 years and, in that time, educated over a thousand communications specialists. Read more
Our graduates work in major telecommunications companies around the world. We have run this course for over 25 years and, in that time, educated over a thousand communications specialists.

Starting from the concept of a signal, we cover the fundamentals of how signals are acquired, processed and transmitted over a wide range of media — electronic, optical and radio. Our laboratory work shows how these principles are put into practice and your software development skills are improved through a series of lectures, exercises and assignments.

Building on this, we explore a number of state-of-the-art topics in detail, including:
-Modern digital transmission systems
-Wireless communication systems
-Computer security and cryptography
-Complex electronic circuits
-Networked systems

Our School is a community of scholars leading the way in technological research and development. Today’s telecommunications engineers are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top engineers, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

We have been one of the leading electronics departments in the country throughout our history, and in recent years, our prolific research staff have contributed to some major breakthroughs.

We invented the world's first telephone-based system for deaf people to communicate with each other in 1981, with cameras and display devices that were able to work within the limited telephone bandwidth. Our academics have also invented a streamlined protocol system for worldwide high speed optical communications.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Elitecore Technologies Ltd
-Juniper Networks
-Cisco Systems
-Incendio Technologies

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

MSc Advanced Communications Systems
-Theory of Signals and Systems
-Digital Communications
-Networking Principles
-Mobile Communications
-Communications Laboratory
-Mathematical Research Techniques Using Matlab
-MSc Project and Dissertation
-Professional Practice and Research Methodology
-Converged Networks and Services (optional)
-Creating and Growing a New Business Venture (optional)
-Data Science and Decision Making (optional)
-Electronic System Design & Integration
-Network Security and Cryptographic Principles
-Computer Security

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The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models. Read more
The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models. This, alongside work on software design in a number of real-world financial systems, will enable you to become a leader in this field.

This course should interest you if you have a good first degree in computer science or engineering, or a BSc degree that provided a high level of programming expertise such as C++ and/or .NET. You receive training on the structure, instruments and institutional aspects of financial markets, banking, payment and settlement systems.

You will attain a high level of competence in software development, in the area of financial computing, for implementation in an electronic market environment, as we introduce you to information and communication technology and automation that underpins financial systems, including:
-Design issues relating to parallel and distributed networks
-Encryption, security and real-time constraints
-Straight Through Processing (STP)
-Quantitative finance
-Financial software architecture

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-CCFEA MSc Dissertation
-Big-Data for Computational Finance
-Cloud Technologies and Systems
-High Performance Computing
-Introduction to Financial Market Analysis
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Computer Security (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-E-Commerce Programming (optional)
-Financial Engineering and Risk Management (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-IP Networking and Applications (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Mobile & Social Application Programming (optional)
-Programming in Python (optional)
-Industry Expert Lectures in Finance (optional)

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The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Read more
The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data.

If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, MSc Data Science at Essex is for you. You study a balance of solid theory and practical application including:
-Computer science
-Programming
-Statistics
-Data analysis
-Probability

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

You also benefit from being taught in our School of Computer Science and Electronic Engineering, who are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of their research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014).

The collaborative work between our departments has resulted in well-known research in areas including artificial intelligence, data analysis, data analytics, data mining, data science, machine learning and operations research.

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

The academic staff in our School of Computer Science and Electronic Engineering are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist staff working on data analytics include Dr Paul Scott, who researches data mining, models of memory and attention, and artificial intelligence, and Professor Maria Fasli, who researches data exploration, analysis and modelling of complex, structured and unstructured data, big data, cognitive agents, and web search assistants.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We have six laboratories that are exclusively for computer science and electronic engineering students
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-You have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors
-We host regular events and seminars throughout the year
-Collaborate with the Essex Institute of Data Analytics and Data Science (IADS) and the ESRC Business and Local Government (BLoG) Data Research Centre of the University of Essex
-The UK Data Archive and the Institute for Social and Economic Research (ISER) at Essex contribute to our internationally outstanding data science environment

Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing.

Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation (optional)
-MSc Project and Dissertation (optional)
-Applied Statistics
-Machine Learning and Data Mining
-Modelling Experimental Data
-Text Analytics
-Artificial Neural Networks (optional)
-Bayesian Computational Statistics (optional)
-Big-Data for Computational Finance (optional)
-Combinatorial Optimisation (optional)
-High Performance Computing (optional)
-Natural Language Engineering (optional)
-Nonlinear Programming (optional)
-Professional Practice and Research Methodology (optional)
-Programming in Python (optional)
-Information Retrieval (optional)
-Data Science and Decision Making (optional)
-Research Methods (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)

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Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Read more
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.

Our MSc Statistics and Operational Research will appeal if your first degree included mathematics as its major subject, and we expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.

You specialise in areas including:
-Continuous and discrete optimisation
-Time series econometrics
-Heuristic computation
-Experimental design
-Machine learning
-Linear models

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

This course can also be studied to a PGDip level - for more information, please view this web-page: http://www.essex.ac.uk/courses/details.aspx?mastercourse=PG00808&subgroup=2

Our expert staff

Our Department of Mathematical is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

Our MSc Statistics and Operational Research will equip you with employability skills like problem solving, analytical reasoning, data analysis, and mathematical modelling, as well as training you in independent work, presentation and writing skills.

Your exposure to current active research areas, such as decomposition algorithms on our module, Combinatorial Optimisation, prepares you for further study at doctoral level. Graduates of this course now hold key positions in government, business and academia.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Nonlinear Programming
-Combinatorial Optimisation
-Modelling Experimental Data (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)
-Applied Statistics (optional)
-Bayesian Computational Statistics
-Research Methods
-Dissertation
-Ordinary Differential Equations (optional)
-Graph Theory (optional)
-Partial Differential Equations (optional)
-Portfolio Management (optional)
-Machine Learning and Data Mining (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Time Series Econometrics (optional)
-Panel Data Methods (optional)
-Applications of Data Analysis (optional)
-Mathematical Research Techniques Using Matlab (optional)

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This course is for you if you need to improve your English language skills and subject knowledge of electronic engineering before going on to a Masters course. Read more
This course is for you if you need to improve your English language skills and subject knowledge of electronic engineering before going on to a Masters course. You improve your language fluency and academic vocabulary, develop your academic skills, and gain experience of western methods of teaching and learning so that you can progress onto a relevant Masters course in our School of Computer Science and Electronic Engineering.

At Essex, you can progress onto our MSc Computer Networks and Security, MSc Electronic Engineering, or MSc Telecommunication and Information Systems.

Our International Academy offers some of the best routes for international students to enter higher education in the UK. Our innovative courses and programmes have proved very successful with international students and have also attracted UK students because of the distinctive learning environment we offer.

If you are an international student, you may find that the education system in the UK is slightly different from other countries and, sometimes, that the transition to the British system can be challenging. Our courses help you to settle in and adapt to life in the UK.

Alongside improving your academic English skills, you also gain knowledge and understanding of the technical aspects of electronic engineering systems.

We are home to many of the world’s top engineers, and our work is driven by creativity and imagination as well as technical excellence. We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014).

Our expert staff

We have been one of the leading electronics departments in the country throughout our history, and in recent years, our prolific research staff have contributed to some major breakthroughs.

We invented the world's first telephone-based system for deaf people to communicate with each other in 1981, with cameras and display devices that were able to work within the limited telephone bandwidth. Our academics have also invented a streamlined protocol system for worldwide high speed optical communications.

Specialist facilities

By studying within our International Academy, you will have access to all of the facilities that the University of Essex has to offer:
-We provide computer labs for internet research; classrooms with access to PowerPoint facilities for student presentations; AV facilities for teaching and access to web-based learning materials
-Our new Student Services Hub will support you and provide information for all your needs as a student
-Our social space is stocked with hot magazines and newspapers, and provides an informal setting to meet with your lecturers, tutors and friends

You can also take advantage of our world-class computer science facilities:
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Example structure

-English for Academic Purposes
-Advanced English for Academic Purposes
-Critical Reading and Seminar Skills
-Engineering Mathematics
-Extended English for Academic Purposes Project
-Mathematical Research Techniques Using Matlab
-Advanced Embedded Systems Design (optional)
-C Programming and Embedded Systems (optional)
-Telecommunication Networks and Systems (optional)
-Telecommunication Principles (optional)

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Electrical power systems continue to advance and develop across industrial and domestic applications,with almost half of global electrical energy thought to be consumed by electric motors ad motion devices. Read more
Electrical power systems continue to advance and develop across industrial and domestic applications,with almost half of global electrical energy thought to be consumed by electric motors ad motion devices.

As technology continues to develop in these sectors, the need for engineers with relevant, contemporary skills to work with these systems continues to grow. To reflect this demand,this course focuses on subjects in system modelling and simulation, control engineering,plus electrical power systems design and analysis.

Featured specialisms include modern power electronics and drive systems,combined with their controlling mechanisms and modelling using MATLAB software and state space models.

Key Course Features

-Specialism's within this programme feature modern power electronics and drive systems combined with their controlling mechanisms and modelling using MATLAB and state space models.
-The MSc in Electrical Power Engineering is accredited by Institute of Engineering and Technology (IET) and Energy Institute (EI), and provides you with the required training for registering for Chartered Engineer status.

What Will You Study?

FULL-TIME MODE (SEPTEMBER INTAKE)
The taught element, Part One, of the programmes will be delivered in two 12 week trimesters and each trimester has a loading of 60 credits. The six taught modules will have lectures and tutorials/practical work on a weekly basis. The expected timetable per module will be a total of 200 hours, which includes 40 hours of scheduled learning and teaching hours and 160 independent study hours.

Part Two will then take a further 15 weeks having a notional study time of 600 hours. During this time the student will be responsible for managing his/her time in consultation with an academic supervisor.

FULL-TIME MODE (JANUARY INTAKE)
For the January intake, students will study three specialist modules first during the second trimester from January to May. Other three common modules the students will study in the first trimester of the next academic year from September to January.

On successful completion of the taught element of the programme the students will be progressed to the Part Two, MSc dissertation to be submitted in April/May.

PART-TIME MODE
The taught element, part one, of the programmes will be delivered in two academic teaching years. 80 credits or equivalent worth of modules will be delivered in the first year and 40 credits or equivalent in the second year.

The part time students would join the full time delivery with lectures and tutorials/practical work during one day on a weekly basis. The dissertation element (i.e. Part Two) will start in trimester 2 taking a further 30 weeks having a total notional study time of 600 hours. During this time the student will be responsible for managing his/her time in consultation with an academic supervisor.

AREAS OF STUDY INCLUDE
-Engineering Research Methods
-Sustainable Design & Innovation
-Engineering Systems Modelling & Simulation
-Control Systems Engineering
-Electrical Power Systems Analysis & Design
-Power Electronics & Drive Systems
-Dissertation

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Assessment and Teaching

You will be assessed throughout your course by a variety of methods including practical work, portfolios, presentations and, for certain subjects, examinations.

Career Prospects

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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Discover and develop the contemporary knowledge ad skills required to be a modern electronic engineer on this dedicated course. Electronics play a major part in all aspects of our lives, from the phone we hold in our hands to the cars we drive each day. Read more
Discover and develop the contemporary knowledge ad skills required to be a modern electronic engineer on this dedicated course. Electronics play a major part in all aspects of our lives, from the phone we hold in our hands to the cars we drive each day. With countless applications,electronic engineers design and build components of all shapes and sizes for both industrial and home applications.

To prepare students for these roles, the course covers design, modelling and test algorithms for complex electronic assemblies,circuit design for low and high frequencies,as well as sustainability, compliance with Restriction of Hazardous Substances directives ad obsolescence solutions are also considered.

Software development is an important part of a modern electronic engineer's role, so to support this you'll use software tools such as VEE, MULTISIM and MATLAB during the course.

Key Course Features

-Specialism's within this programme feature modern power electronics and drive systems combined with their controlling mechanisms and modelling using MATLAB and state space models.
-The MSc in Electronic Engineering is accredited by Institute of Engineering and Technology (IET) and Energy Institute (EI), and provides you the required training for registering for Chartered Engineer status.

What Will You Study?

FULL-TIME MODE (SEPTEMBER INTAKE)
The taught element, Part One, of the programmes will be delivered in two 12 week trimesters and each trimester has a loading of 60 credits.

The six taught modules will have lectures and tutorials/practical work on a weekly basis. The expected timetable per module will be a total of 200 hours, which includes 40 hours of scheduled learning and teaching hours and 160 independent study hours.

Part Two will then take a further 15 weeks having a notional study time of 600 hours. During this time the student will be responsible for managing his/her time in consultation with an academic supervisor.

FULL-TIME MODE (JANUARY INTAKE)
For the January intake, students will study three specialist modules first during the second trimester from January to May.

Other three common modules the students will study in the first trimester of the next academic year from September to January.

On successful completion of the taught element of the programme the students will be progressed to the Part Two, MSc dissertation to be submitted in April/May.

PART-TIME MODE
The taught element, part one, of the programmes will be delivered in two academic teaching years. 80 credits or equivalent worth of modules will be delivered in the first year and 40 credits or equivalent in the second year.

The part time students would join the full time delivery with lectures and tutorials/practical work during one day on a weekly basis. The dissertation element (i.e. Part Two) will start in trimester 2 taking a further 30 weeks having a total notional study time of 600 hours. During this time the student will be responsible for managing his/her time in consultation with an academic supervisor.

AREAS OF STUDY INCLUDE
-Engineering Research Methods
-Sustainable Design & Innovation
-Engineering Systems Modelling & Simulation
-Control Systems Engineering
-Design for Electronics Manufacture & Testing
-Electronic Circuit Design
-Dissertation

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Assessment and Teaching

You will be assessed throughout your course by a variety of methods including practical work, portfolios, presentations and, for certain subjects, examinations.

Career Prospects

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning. Read more

This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.

State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.

Students also have the chance to substantially expand their programming skills through projects they undertake.

Read about the experience of a previous student on this course, Gianmarco Addari.

Programme structure

This programme is studied full-time over 12 months and part-time from 24 to 60 months. It consists of eight taught modules and a standard project. 

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Technical characteristics of the pathway

This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.

Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment.

The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.

An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.

Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.

Facilities, equipment and support

To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.

We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.

Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).

Career prospects

Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:

  • Multimedia indexing and retrieval (Google, Microsoft, Apple)
  • Motion capture (Foundry)
  • Media production (BBC, Foundry)
  • Medical Imaging (Siemens)
  • Security and Defence (BAE, EADS, Qinetiq)
  • Robotics (SSTL)

Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.

Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.

Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.

Industrial collaborations

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:

  • Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
  • A number of our academics offer MSc projects in collaboration with our industrial partners

Research perspectives

This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.



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