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De Montfort University, Full Time Masters Degrees in Engineering

We have 8 De Montfort University, Full Time Masters Degrees in Engineering

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Our MSc in Electronic Engineering offers content that is different to many other similarly-titled courses. It equips you with a skill set that is in demand by industry worldwide, allowing you to maximise your employability by taking a course that is broad in scope but challenging in detail. Read more

About the course

Our MSc in Electronic Engineering offers content that is different to many other similarly-titled courses. It equips you with a skill set that is in demand by industry worldwide, allowing you to maximise your employability by taking a course that is broad in scope but challenging in detail.

Electronic Engineering provides a broad master’s-level study of some of the most important aspects of electronic engineering today. It builds on your undergraduate knowledge of core aspects of electronics, supported by a module in Engineering Business Environment and Energy Policies, which provides you with an understanding of the context of engineering in the early 21st Century.

The course embraces a number of themes in areas identified as being generally under-represented in many other courses, such as power electronics and electromagnetic compatibility, providing you with as wide a range of employment opportunities as possible – whether this is in industry or continuing in research at university.

The course has achieved accreditation by the Institution of Engineering and Technology (IET) to CEng level for the full five year period.

Reasons to study

• Accredited by the Institution of Engineering and Technology (IET) to CEng level
offering a streamlined route to professional registration

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience to enhance your practical and professional skills further

• Graduate employability
Our graduates have gone on to work in a variety of specialist roles in diverse industries, including; embedded systems, electronic design and biomedical monitoring

• Access to superb professional facilities
such as general electronics and assembly, digital electronics and microprocessor engineering, power electronics, control systems and communications engineering

• Study a wide range of specialist modules
course content is regularly reviewed and modules have been specifically developed to address skills gaps in the industry

• Academic and research expertise
benefit from teaching by experienced academic and research-based staff, including those from DMU’s dedicated Centre for Electronic and Communications Engineering, who are actively involved in international leadership roles in the sector.Programme

Course Structure

First semester (September to January)

• Digital Signal Processing
• Physics of Semiconductor Devices
• Engineering Business Environment and Energy Policies
• Control and Instrumentation

Second semester (February to May)

• Embedded Systems
• Research Methods
• Electromagnetic Compatibility and Signal Integrity
• Power Electronics

Third semester (June to September)

This is a major research-based individual project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and Assessment

Modules are delivered through a mixture of lectures, tutorials and laboratories. The methodology ensures a good balance between theory and practice so that real engineering problems are better understood, using strong theoretical and analytical knowledge translated into practical skills.

Contact and learning hours

You will normally attend 4 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 16 hours per week during term time. You are expected to undertake around 212 further hours of independent study per 30 credit modules. Alternate study modes and entry points may change the timetabled session available, please contact us for details.

Industry Accreditation

he course is fully accredited by the Institution of Engineering and Technology (IET) which is one of the world’s leading professional societies for the engineering and technology community, with more than 150,000 members in 127 countries.

IET accreditation recognises the high standard of the course and confirms the relevance of its content. In order to achieve IET accreditation the course has had to reach a certain standard in areas such as the course structure, staffing, resourcing, quality assurance, student support and technical depth.

The benefits of an IET accredited course include increased opportunities, being looked on favourably by employers and completing the first step in your journey to achieving professional Chartered Engineer (CEng) status which can be applied for following a period of suitable industrial experience after graduation.

This degree has been accredited by IET under licence from the UK regulator, the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

Facilities

You will have flexible access to our laboratories and workshops which include: electrical and electronic experimental facilities in general electronics and assembly, digital electronics and microprocessor engineering, power electronics, control systems and communications engineering. Each area is equipped with the latest experimental equipment appropriate to the corresponding areas of study and research. An additional CAD design suite provides access to computing facilities with specialist electronics CAD tools including OrCAD and PSpice. A specialised area incorporating a spacious radio frequency reverberation chamber and Faraday cage allows for experimentation in radio frequency engineering and electromagnetics, while our digital design suite is equipped with the latest 8 and 32-bit embedded microprocessor platforms together with high-speed programmable logic development environments. Power generation and conversion, industrial process control and embedded drives are provided while our communications laboratory is additionally equipped for RF engineering.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Engineering Management is aimed at ambitious engineers who aspire to a senior role involving technical and strategic management responsibilities. Read more

About the course

Engineering Management is aimed at ambitious engineers who aspire to a senior role involving technical and strategic management responsibilities. It is ideal for recent graduates hoping to make their first move into engineering management, or for established professional engineers who wish to make a switch into a management role and must extend their knowledge beyond their specific technical field into management and business.

The course places an emphasis on those key areas of modern management required by engineers entering their first management role, and also offers opportunities for technical advancement through a choice of elective modules in specialist areas of engineering.

Reasons to Study

• Learn best practice from professionals
students have the opportunity to study alongside industry managers and engineers to solve real engineering management problems

• Study a wide range of specialist modules from different faculties at DMU
linking business knowledge with engineering and sustainable development issues

• Course content developed in consultation with industry professionals
benefit from guest lectures delivered by practitioners from industry providing real-life examples and case studies throughout the course

• Academic and research Expertise
benefit from teaching by experienced academic and research-based staff, including those from DMU’s dedicated Institute of Energy and Sustainable development, who have more than 30-years’ experience as a leading research group

• Enjoy access to state-of-the-art facilities
including a new dedicated Energy laboratory, Electrical and Electronic experimental facilities, Mechanical Engineering laboratories and a CAD design suite

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience to enhance your practical and professional skills further

• Excellent graduate career prospects
graduates of the programme are well-suited to either a management position within an engineering company or a more technically intensive role in a business setting

Course Modules

First semester (September to January)

• Critical Management in a Global Context
• Management of Information Systems
• Project Management
• Optional Module 1
You will choose an elective module from a range of subject areas most aligned to your area of interest. Current options include modules in:
◦Electrical Engineering/Electronics
◦Mechanical Engineering
◦Sustainability in the Business Context
◦Computer Networks and E-commerce Systems

Second semester (February to May)

• Low Impact Manufacturing
• People Management and Organisation
• Research Methods
• Optional Module 2
You will choose an elective module from a range of subject areas most aligned to your area of interest. Current options include modules in:
◦Electrical Engineering/Electronics
◦Mechanical Engineering
◦Sustainability in the Business Context
◦Computer Networks and E-commerce Systems

Third semester (June to September)

Individual Project – You will undertake an individual project that will link your technical specialism with a core aspect of the course.

Optional placement
You will have the opportunity to undertake your individual project in industry, working alongside managers and engineers to solve real engineering management problems.

Teaching and Assessment

Each module of the course is taught via lectures, tutorials, practical sessions and seminars. Teaching takes place in semesters of 15 weeks – the normal pattern will be 12 weeks of lectures and three weeks of revision examinations.

Taught modules are assessed either by coursework or by examination, or both. Assessment of the individual project will consider the management of the project, the written report and the formal presentation.

Contact and learning hours

You will normally attend two - four hours of timetabled taught sessions for each module per week during term time. You can also expect to typically undertake a further 10 hours of independent study and assignments for each module per week.

Academic expertise

Modules are taught by expert research and teaching staff from across the university, including the Institute of Energy and Sustainable Development (IESD), The School of Engineering and Sustainable Development and the Leicester Business School, reflecting the multidisciplinary nature of the course. This provides you with an unique opportunity to learn from scientists actively involved in associated subject areas.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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The Mechanical Engineering MSc builds on your undergraduate knowledge base through a number of advanced modules in core subject areas. Read more

About the course

The Mechanical Engineering MSc builds on your undergraduate knowledge base through a number of advanced modules in core subject areas. These are supported by modules in business and electromechanics, providing you with an insight of the engineering business environment and broadening your understanding of other engineering disciplines.

The course provides you with an understanding of the methodology used in research and an awareness of the numerical techniques underpinning the tools employed in mechanical and thermal analysis.

Topicality and direct application to the needs of society are also catered for, providing you with an understanding of the environmental impact of human activities and energy consumption and the role of the mechanical engineer in seeking appropriate solutions.

Course Structure

Modules

First semester (September to January)

• Electromechanics
• Engineering Business Environment and Energy Studies
• Numerical Techniques in Engineering
• Advanced Thermodynamics and Heat Transfer

Second semester (February to May)

• Advanced Solid Mechanics
• Research Methods
• Engineering Systems Dynamics and Control
• Advanced Materials and Design

Third semester (June to September)

• This is a major research-based individual project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and assessment

The modules are delivered through a mixture of lectures, tutorials and laboratories. This ensures a good balance between theory and practice so that real engineering problems are better understood through an underpinning of strong theoretical and analytical knowledge translated into practical skills.

Contact and learning hours

You will normally attend four hours of timetabled taught sessions each week for each module undertaken during term time; for full-time study this would be 16 hours per week during term time. You can expect to also undertake around 24 further hours of independent study and assignments as required per week.

Academic expertise

Mechanical Engineering teaching staff are active in several important research areas, including: Combustion modelling and energy conversion research using both experimental and CFD methods to analyse efficiencies and emissions of energy systems Computational rheology, non- Newtonian biofluid simulations, viscoelastic effects on lubrication thin film flows Surface engineering via surface modification of materials for enhancement of mechanical, tribological and chemical properties.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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This advanced course focuses on enabling you to become proficient in communicating across a range of different disciplines and delivering optimised engineering solutions using an integrated multidisciplinary mechatronics approach. Read more

About the course

This advanced course focuses on enabling you to become proficient in communicating across a range of different disciplines and delivering optimised engineering solutions using an integrated multidisciplinary mechatronics approach. You will be exposed to a broad range of engineering disciplines, be able to solve multidisciplinary mechatronics problems and develop the skills to apply a mechatronic approach to the solution of technical problems.

Reasons to Study

• Accredited by the Institution of Engineering and Technology (IET)
ensuring you will benefit from the highest quality teaching, and graduate with a recognised qualification

• Graduate employability
Mechatronic engineers are in high demand as more industries seek to apply advances across a range of engineering disciplines

• Enjoy access to state-of-the-art facilities
including dedicated mechanical, electrical and electronic laboratories especially suited for mechatronics, as well as an for the manufacture of student designs

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience to enhance your practical and professional skills further

• Work with leading research groups
you will be offered opportunities to work on projects with research groups within the faculty, including the Centre for Advanced Manufacturing Processes and Mechatronics, that are engaged in high-class, research and industrial collaboration and consultancy

• Course content relevant to modern day practice
our research informs our teaching, ensuring the course content covers current industry topics and issues

• Excellent graduate prospects
graduates enjoy exciting career opportunities in a range of fields such as robotics and automation, manufacturing, aerospace, material processing, energy and power.

Modules

First semester (September to January)

• Electromechanics
• Mechatronic Systems - Engineering and Design
• Engineering Business Environment and Energy Studies
• Programming and Software Engineering

Second semester (February to May)

• Machine Vision, Robotics and Flexible Automation
• Engineering Systems: Dynamics and Control
• Microprocessor Applications and Digital Signal Processing
• Research Methods

Individual Project (Stage three)

This research can be industrially-based or linked to an industrial partner, attached to one of the mechatronic-related research teams within the faculty or in other collaborating institutions. The research project should be in an area relevant to Mechatronics, where clear evidence of the ability to solve a real multidisciplinary problem is demonstrated. The project assessment involves a formal presentation, production of a technical paper and a thesis.

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and assessment

Teaching is delivered through a variety of methods including lectures, tutorials and laboratories. You will be expected to undertake self-directed study.

Contact and learning hours

For taught sessions you will attend eight modules with a total of 48 hours (four hours per week for 12 weeks each), with eight hours per module per week of average additional self-directed study. For the individual project you normally will spend 13 weeks working five days (eight hours per day) a week to complete it, and have one hour per week contact time with your supervisor.

Academic expertise

Research is carried out by the Mechatronics Research Centre, which holds a considerable number of UK and EU research project grants and has collaborative research links with more than 100 national and international organisations. The group is internationally regarded and specialises in machine design, control and simulation, fluid power systems and motion control.

As part of your studies, you will be offered opportunities to work on projects with research groups within the faculty that are engaged in high-class, leading-edge research and industrial collaboration and consultancy.

During the project element of the course, the Intelligent Machines and Automation Systems (IMAS) Research Laboratory provides access to dedicated research facilities

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Intelligent Mobile Robots
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Data Mining
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

Academic expertise

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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This innovative course is for people who wish to understand the ways new and renewable energy can be harnessed in buildings, who wish to gain the ability to undertake the simulation and modelling tasks which are essential for credible building performance analysis, and acquire the ability to work creatively within a multidisciplinary design team. Read more

About the course

This innovative course is for people who wish to understand the ways new and renewable energy can be harnessed in buildings, who wish to gain the ability to undertake the simulation and modelling tasks which are essential for credible building performance analysis, and acquire the ability to work creatively within a multidisciplinary design team.

The need for sustainable approaches to building design is universally acknowledged. As the effects of climate change are felt, the drive towards more energy efficient buildings is intensifying. Sustainable buildings need not be technologically complex but a high level of sophistication in design procedures and performance analysis is required.

The course has an interdisciplinary approach that gives a broad insight into energy and sustainability issues, and in-depth knowledge of the computer modelling techniques that are used in the design of modern sustainable buildings.

The course has been approved by both the Chartered Institute of Building Services Engineers (CIBSE) and the Energy Institute for completing the educational requirements for chartered engineer registration.

Reasons to Study;

• Flexible study options
the course is designed to be flexible and fit around you with on campus, part-time or full-time or distance learning options, and multiple exit awards from a full master’s to a single module

• Accredited by CIBSE and the Energy Institute
ensuring you will benefit from the highest quality teaching, and graduate with a recognised qualification

• Interdisciplinary teaching
develop a broad insight in to energy and sustainability issues, with in-depth knowledge of computer modelling techniques for the design of modern sustainable buildings

• Excellent graduate career prospects
graduates of the programme have gone on to work for the European Commission, Mott MacDonald, WSP Group, WYG, and Arup; as well as a variety of other energy and environmental consultancies, central and local government and multinational organisations

• Academic and research expertise
With more than 30-year’s research experience, our Institute of Energy and Sustainable Development (IESD) research and teaching staff provide students with a unique opportunity to learn from scientists actively involved in furthering knowledge and sharing expertise

Course Structure

Modules

The MSc has been designed to offer flexibility, with attended or distance learning study available and a range of possible awards from a full MSc to a single module. Modules studied:

• Sustainable Development
• Energy in Buildings
• Sustainable Energy
• Resource-Efficient Design
• Energy and Thermal Performance
• Ventilation and Daylight Modelling
• Energy Analysis Techniques
• Research Methods
• Design Project

Teaching and Assessment

Full-time students attend for two days each week and receive formal lectures from experienced researchers and teaching staff, complemented by informal seminars and group discussions. Part-time students attend one day per week. You will also be expected to undertake self-directed study. All teaching material is fully documented and available on the web-based virtual learning environment (VLE) before timetabled events take place.

Distance learning students follow a structured study plan provided on the VLE, supported by discussion forums with other students, and email and telephone conversations with the module leader. Our course has been commended in an academic quality review for its “innovative and sophisticated forms of e-based learning and teaching”.

All assessment is by coursework. Each taught module has two items of coursework. The first is a smaller assignment for which feedback is given while the module is being studied. A second, major assignment is due at a later date after the material has been assimilated.

As well as the eight taught modules, students complete either an individual dissertation or a team-based design project, and all students get to attend the annual MSc conference, where final year students present.

Contact and learning hours

You will normally attend two - four hours of timetabled taught sessions each week for each module undertaken during term time; for full time study this would be 12 hours per week during term time. You can also expect to typically undertake a further hours of six hours independent study and assignments as required per week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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This course is uniquely broad in its coverage, reflecting the range of knowledge and skills required to address the challenges of energy, climate change and sustainable development. Read more

About the course

This course is uniquely broad in its coverage, reflecting the range of knowledge and skills required to address the challenges of energy, climate change and sustainable development. Business, society and policy makers are recognising that change is required at all levels of society if we are to address the challenge of sustainable energy and development that meets the needs of future generations.

This course will allow you to understand how sustainable development can be achieved and how we can deal with global climate change through sustainable energy, more efficient design and manufacturing, better management of buildings, organisations and behaviour change. You are able to choose from a range of modules to focus either on more general sustainable development, policy and behaviour change or consider strategies for business and industrial sustainability. If you want to be equipped, challenged or re-trained to lead communities, organisations and governments in responding to this challenge then this course is for you.

The course is suitable for graduates from a variety of disciplines with either a social science or physical science background. It is also suitable for mid-career professionals with relevant experience. The course has been accredited by both the Chartered Institute of Building Services Engineers (CIBSE) and the Energy Institute for completing the educational requirements for chartered engineer registration.

Reasons to Study:

• Academic and research expertise
With more than 30-year’s research experience, our Institute of Energy and Sustainable Development (IESD) research and teaching staff provide students with a unique opportunity to learn from scientists actively involved in furthering knowledge and sharing expertise

• Flexible study options
the course is designed to be flexible and fit around you with on campus, part-time or full-time or distance learning options, and multiple exit awards from a full master’s to a single module

• Course content relevant to modern day practice
This course has evolved from input from established courses delivered by the IESD, relevant research projects and industry-related issues are covered to ensure you gain the relevant knowledge and expertise required for when you graduate

• Study a wide range of specialist modules
course content is regularly reviewed and modules have been specifically developed to address skills gaps in the industry

• Excellent graduate prospects
graduates have gone on to work for global companies including the Carbon trust, BMW, National Grid and the European Commission; as well as a variety of other energy and environmental consultancies, central and local government and multinational organisations

Course Structure

Modules

• Sustainable Development
• Sustainable Energy
• Energy in Buildings
• Resource-Efficient Design
• Energy Analysis Techniques
• Research Methods

Optional Modules:
• Integrated Environmental Strategies
• Leading Change for Sustainability
• Low-Impact Manufacturing
• Green Business

You will complete the MSc by undertaking a research project on a topic of your choice, supervised by an experienced member of research staff.

Teaching and assessment

Full-time students attend for two days each week and receive formal lectures from experienced researchers and teaching staff, complemented by informal seminars and group discussions. Part-time students attend one day per week. You will also be expected to undertake self-directed study.

Distance learning students follow a structured study plan provided on the VLE, supported by discussion forums with other students, and email and telephone conversations with the module leader.

All assessment is by coursework. Each taught module has two items of coursework. The first is a smaller assignment, on which prompt feedback is given while the module is being studied. A second, major assignment is submitted after the material has been assimilated.

As well as the eight taught modules, students complete either an individual dissertation or a team-based design project, and all students get to attend the annual MSc conference, where final year students present.

Contact and learning hours

You will normally attend two-four hours of timetabled taught sessions each week for each module undertaken during term time; for full time study this would be 12 hours per week during term time. You can also expect to typically undertake a further hours of six hours independent study and assignments as required per week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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