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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. Read more
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.

Key benefits:

• accredited by the Institution of Mechanical Engineers.
• Access to excellent facilities including over 20 wind tunnels and a DC10 jet engine

Visit the website: http://www.salford.ac.uk/pgt-courses/aerospace-engineering2

Suitable for

Suitable for graduates from an engineering or numerate science discipline such as aeronautical, mechanical or electrical/ electronic engineering or physics.

Programme details

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.

Format

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.

Semester 1

• Aerodynamics
• Finite Element Analysis

Semester 2

• Aerospace Assembly
• Flight Dynamics and Control
• Flight Simulation
• MSc Project and Dissertation

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.

Career potential

This highly valued qualification will open doors to careers in global organisations, including aerospace companies and their suppliers, governmental bodies and research institutions.
The aerospace industry is at the forefront of modern engineering and manufacturing technology, and there’s a growing demand for highly skilled chartered aerospace engineers.

How to apply: http://www.salford.ac.uk/study/postgraduate/applying

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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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Engineers with a good knowledge of mobile communications systems are much sought after and careers in this industry offer both high rewards and opportunities to work on the latest technical advances. Read more
Engineers with a good knowledge of mobile communications systems are much sought after and careers in this industry offer both high rewards and opportunities to work on the latest technical advances.

We work closely with industry and understand the skills and knowledge required to operate successfully in this field.

Our specialised curriculum comprehensively covers the principles and techniques involved. It will equip you with the toolset needed to design and develop next generation mobile communication and wireless systems. As fresh technologies emerge in this ever-expanding field, you will have the essential formal theory and confidence in your practical skills to support your long-term career development.

Core study areas include MATLAB, communication networks, personal radio communications, and channel coding for networks and a research project.

Optional study areas include research project, communication network security, mobile network technologies, advanced networks and advanced individual project.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/networked-communications/

Programme modules

All modules are compulsory
Semester 1:
- MATLAB as a Scientific Programming Language
- Communication Networks
- Personal Radio Communications
- Channel Coding for Networks

Semester 2:
- Research Project
- Communication Network Security
- Mobile Network Technologies
- Advanced Networks
- Advanced Individual Project

How you will learn

Practical skills in networked systems and businesses are developed to industry standard through laboratory work, including the use of Network Analyser to analyse Wi-Fi traffic, monitor Wi-Fi signals and traffic and to learn network behaviours and user characteristics. The course is regularly updated to accommodate scale, data-rate and security changes.

- Assessment
Examinations are held in January and May, with coursework, practical laboratory assessments, and group work throughout the programme. The individual research project is assessed by written report and viva voce in September.

Facilities

You will use professional network performance measurement equipment during the course.

Project work may also benefit from an extensive Network Testbed which was established by the donation of 8 IP routers, 4 switches and associated interconnections from CISCO.

Other nodes and approximately 30 end stations have been added to the Testbed, along with 4 Monitor Stations with synchronised timing. This provides an instrumented Internet Testbed with considerable complexity and flexibility.

Experimental work on network performance measurement and network abuse detection is undertaken with this Testbed which may be used in appropriate projects.

Careers and further study

Graduates of this course will have the practical skills and theoretical knowledge for employment in a variety of communications engineering roles for example: network managers; designers and analysts; Cisco engineers; and router design engineers.
Your graduate skill set will be particularly attractive to companies with a global or distributed workforce and operation. Many graduates stay on to study for a PhD.

Scholarships and bursaries

Scholarships and bursaries are available each year for UK/EU and international students who meet the criteria for award.

Why choose electronic, electrical and systems engineering at Loughborough?

We develop and nurture the world’s top engineering talent to meet the challenges of an increasingly complex world. All of our Masters programmes are accredited by one or more of the following professional bodies: the IET, IMechE, InstMC, Royal Aeronautical Society and the Energy Institute.

We carefully integrate our research and education programmes in order to support the technical and commercial needs of society and to extend the boundaries of current knowledge.

Consequently, our graduates are highly sought after by industry and commerce worldwide, and our programmes are consistently ranked as excellent in student surveys, including the National Student Survey, and independent assessments.

- Facilities
Our facilities are flexible and serve to enable our research and teaching as well as modest preproduction testing for industry.
Our extensive laboratories allow you the opportunity to gain crucial practical skills and experience in some of the latest electrical and electronic experimental facilities and using industry standard software.

- Research
We are passionate about our research and continually strive to strengthen and stimulate our portfolio. We have traditionally built our expertise around the themes of communications, energy and systems, critical areas where technology and engineering impact on modern life.

- Career prospects
90% of our graduates were in employment and/or further study six months after graduating. They go on to work with companies such as Accenture, BAE Systems, E.ON, ESB International, Hewlett Packard, Mitsubishi, Renewable Energy Systems Ltd, Rolls Royce and Siemens AG.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/networked-communications/

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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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This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications. Read more
This Postgraduate Certificate course in Data Visualisation and Modelling provides graduates with a comprehensive understanding of the mathematical, statistical and data visualisation techniques needed to investigate problems in a wide range of applications.

With recent developments in digital technology, society has entered the era of ‘Big Data’. However, the explosion and wealth of available data gives rise to new challenges and opportunities in all disciplines – from science and engineering to biology and business.

A major focus is on the need to take advantage of an unprecedented volume of data in order to acquire further insights and knowledge.

The flexibility of this course makes it particularly suitable for students in employment.

See the website http://www.brookes.ac.uk/courses/postgraduate/data-visualisation-and-modelling/

Why choose this course?

- A flexible approach to study enables participants to complete the Postgraduate Certificate course in between 1 and 5 years (part-time).

- Use of SPSS.

- A course designed to increase employability in a high-demand field of work.

- Develop your critical skills in the application of visualisation techniques for understanding and presenting the results of analysis.

- Join a supportive and close-knit community of teachers, support staff and learners.

This course in detail

Advanced Statistical Modelling - This module introduces a broad class of linear and non-linear statistical models and the principles of statistical inference to a variety of commonly encountered data analysis problems. The software package SPSS will be used as a tool for statistical analysis with the goal of enabling students to develop their critical thinking and analytical skills. The emphasis, however, is very much on the practical aspect of the methodology and techniques with the theoretical basis kept at a minimum level.

Modelling and Data Analysis using MATLAB - This module gives depth of knowledge in advanced modelling techniques and breadth of analysis by virtue of its general application to any field of engineering and data analysis. In this module students learn to build computer models, present and analyse data using the facilities of MATLAB. Some mathematics is taught as relevant to data interpolation, optimisation and/or choosing solvers for models featuring differential equations.

Data Visualisation and Applications - This module provides a general but broad grounding in the principles of data visualisation and its applications. It covers an introduction to perception and the human visual system, design and evaluation of visualisation techniques, analysing, organising and presenting information visually, using appropriate techniques and visualisation systems.

Teaching and learning

The programme follows a supportive teaching and learning strategy based on active student engagement.

Modules offer a variety of teaching methods, and feature a selection of critical appraisal reports, the use of software applications for data analysis, presentations and case studies.

Learning methods include blended learning, formal lectures and problem solving practicals, but also guided independent learning, use of the virtual learning environment Moodle, independent research, software data analyses, and experiments.

Approach to assessment

Due to the data analysis and the interpretive nature of the course content, the high level industrial participation, and the authentic nature of the assessment, all modules are assed entirely by coursework which includes in-class tests. The assessment regime is selected according to what is appropriate for the material covered.

Attendance pattern

Students will study one twelve-week module per semester, attending campus one day per week for six weeks for each module. A typical module delivery structure is as follows.
- Face to face lectures will take place in weeks 2-5. Each face to face session is three hours, and there will be two face-to-face sessions per day.

- A two-hour class test and individual discussion of mini-projects will take place in week 6.

- An online surgery is available to support guided self-study in weeks 7-11.

- E-learning materials will be available throughout the semester as required on Moodle.

- Weekly exercises for formative feedback will be submitted into a drop box for each module.

- Mini-projects will be due at the end of week 12.

Careers

Currently, global demand for combined statistical, mathematics and computing expertise outstrips supply, with evidence-based predictions suggesting a major shortage in this area for at least the next 10 years.

For graduates in data visualisation and modelling this shortage presents opportunities to enhance career progression in one of the most crucial areas of modern science.

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.

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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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