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Programme summary

1. Programme Aims

The Engineering Doctorate in Systems Engineering aims to develop a thorough knowledge of the principles and techniques required for the application of the systems approach to multi-disciplinary and complex engineering problems.

The programme aims to develop:

• Expert knowledge of engineering/science areas relevant to the research project(s).
• An appreciation of industrial engineering and development culture including: The role of research, product development, marketing awareness, minimisation of environmental impact.
• Project and programme management skills - financial planning and control.
• Teamwork, leadership and communication skills - oral, written, technical, non-technical.
• The ability to apply skills/knowledge to new and unusual situations.
• The ability to seek optimal solutions to complex or multifaceted problems.
• Research capability and the ability to undertake research in association with an industrial partner.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, the Quality Assurance Agency for Higher Education, April 2012.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Master's degree characteristics, The Quality Assurance Agency for Higher Education, March 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• Mathematical methods appropriate
• Principles of engineering science appropriate
• Principles of Information Technology and Communications
• Relevant codes of practice and regulatory frameworks
• Relevant operational practices and requirements for safe working

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme, students should be able to:

• Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
• Model and analyse engineering systems, processes, components and products
• Develop engineering solutions to practical problems
• Integrate, evaluate and use information, data and ideas from a wide range of sources
• Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme, students should be able to:

• Use appropriate mathematical methods for modelling and analysing relevant engineering problems relevant to complex systems
• Use relevant test and measurement equipment
• Plan and execute safely experimental laboratory work
• Use computational tools and packages (including programming languages where appropriate)
• Design systems, components or processes
• Undertake testing of design ideas and analyse and critically evaluate the results
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme, students should be able to:

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Work effectively as part of a team
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

The curriculum-based component of the programme will follow the taught modules drawn from the School’s MSc Programme in Systems Engineering. Research Engineers should refer to these regulations for an up-to-date module listing.

5. Criteria for Progression and Degree Award

As well as being read in conjunction with  Regulation XXI and the relevant module specifications, this programme specification should also be read in conjunction with Regulation XXVI Higher Degrees by Research. 

5.1 All Research Engineers who are registered on the Systems Engineering Doctorate (EngD) programme are required to register for and satisfy the regulations for the curriculum-based component of the programme. 

5.2 In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

5.3 Each module in the curriculum-based component of the programme will be assessed and credit awarded in accordance with the levels of achievement specified in Regulation XXI.

5.4 Candidates will be eligible to progress on the EngD programme when they have accumulated 180 credits from the curriculum-based component within the period of time specified under 'Programme Length and Type' in this specification, except where exemption has been granted in accordance with 'Exemptions' under 'Admissions Criteria' in this specification. 

5.5 Candidates who have completed part or the entire curriculum based element of their programme, but who subsequently do not complete the requirements for the award of EngD, may be eligible for the award of the Degree of Master, the Postgraduate Diploma or the Postgraduate Certificate. In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

5.6 Candidates who have, because of their previous study or experience, been allowed to reduce the curriculum-based component of the programme may not qualify for an award

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Networked Communications is designed to provide a fundamental background and knowledge of practical solutions relevant to both wired and wireless communication networks. 

The programme:

• Provides an understanding of the principles and practices related to communication networks, including their protocols and the vulnerabilities to attack.
• Allow students to understand the characteristics of communication networks through practical measurement and analytical approaches.
• Students will have an opportunity to conduct project work in well equipped research facilities and work alongside experienced networks researchers.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, The Quality Assurance Agency for Higher Education, April 2012.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Master's degree characteristics, The Quality Assurance Agency for Higher Education. March 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• Mathematical methods appropriate to the programme
• Principles of engineering science appropriate to the programme
• Principles of Information Technology and Communications appropriate to the programme
• Design principles and techniques appropriate to electronic and electrical components, equipment and associated software
• Operational practices and requirements for safe operation relevant to the programme

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme, students should be able to:

• Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
• Model and analyse engineering systems, processes, components and products
• Develop engineering solutions to practical problems
• Integrate, evaluate and use information, data and ideas from a wide range of sources
• Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme, students should be able to:

• Use appropriate mathematical methods for modelling and analysing engineering problems relevant to the programme
• Use relevant test and measurement equipment
• Use computational tools and packages (including programming languages where appropriate)
• Design systems, components or processes
• Undertake testing of design ideas in the laboratory or by simulation, and analyse and critically evaluate the results
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme, students should be able to:

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

4.1 All modules for the Networked Communications programme are compulsory.

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Digital Communication Systems aims to develop a thorough knowledge of the principles and techniques required for the design and development of the next generation of digital communication systems.

The programme: 

• provides opportunities, through group and individual learning, for the study of key engineering topics required in modern digital communications.
• enables students to access specialist material related to networked and mobile systems, and the signal processing they require for secure comunication.
• enables students to study advanced material that is the result of recent research, often involving design techniques and basic theories that have been developed in the School.
• provides the opportunity to undertake an advanced project in association with the research groups in the School: in the Centre for Mobile Communications Research or in one of the research groups in wireless communications, high speed networks and advanced signal processing. Occasionally such projects can be taken in industry or in a number of European institutions participating in EU exchange programmes.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, the Quality Assurance Agency for Higher Education, April 2012.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Master's degree characteristics, The Quality Assurance Agency for Higher Education, March 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• Mathematical methods appropriate to the programme
• Principles of engineering science appropriate to the programme
• Principles of Information Technology and Communications appropriate to the programme
• Design principles and techniques appropriate to electronic and electrical components, equipment and associated software
• Operational practices and requirements for safe operation relevant to the programme

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme, students should be able to

• Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
• Model and analyse engineering systems, processes, components and products
• Develop engineering solutions to practical problems
• Integrate, evaluate and use information, data and ideas from a wide range of sources
• Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme, students should be able to

• Use appropriate mathematical methods for modelling and analysing engineering problems relevant to the programme
• Use relevant test and measurement equipment
• Use computational tools and packages (including programming languages where appropriate)
• Design systems, components or processes
• Undertake testing of design ideas in the laboratory or by simulation, and analyse and critically evaluate the results
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme, students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

In the following table ‘c’ indicates a compulsory module and ‘o’ indicates an optional module.

Students on the Digital Communication Systems programme should select two optional modules indicated in semester 1 and three optional modules indicated in semester 2.

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The European Masters in Renewable Energy aims to develop a thorough knowledge of the viable renewable energy technologies, with special reference to the generation of electricity in developed and developing countries.

The programme:

• Provides a firm technical background in the key renewable energy fields and creates a context for energy production and use.
• Enables students to specialise in a particular technology or implementation aspect.
• Enables students to undertake a project related to the specialisation in industry, a research laboratory or at the university and during which the student can gain practical or research experience.
• Enables students to gain experience in at least two European countries.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, The Quality Assurance Agency for Higher Education, April 2012.

Master's degree characteristics, The Quality Assurance Agency for Higher Education, March 2010.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• The principles of a range of renewable energy systems for optimal energy conversion
• The characteristics of the various types of technologies and the associated processes of manufacturing such systems
• Codes of practice and regulatory frameworks relevant to renewable energy systems
• The socio-economic effects of the introduction and use of the relevant technologies

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme, students should be able to

• Statistically assess renewable energy resources at a specified location given appropriate data
• Make general performance predictions about various renewable energy system output
• Integrate, evaluate and use information, data and ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme, students should be able to

• Design a range of renewable energy systems for optimal energy conversion at a given location and for particular applications
• Analyse economic and planning aspects of renewable energy systems as well as technological considerations
• Use appropriate mathematical methods for modelling and analysing engineering problems relevant to renewable energy systems
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme, students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Work effectively as part of a team
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

4.1 Content

4.2 The first semester is studied at ÌìÌÃÊÓƵ. The second semester is undertaken away from ÌìÌÃÊÓƵ and comprises a 60 credit (30 ECTS) specific technology specialisation taken from:

•Wind energy National Technical University of Athens
•Grid Integration University of Zaragoza
•Photovoltaics University of Northumbria
•Hybrid Systems University of Kassel
•Solar Thermal University of Perpignan
•Ocean Energy IST Lisbon

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Mobile Communications is designed to provide a fundamental background and thorough knowledge of practical solutions relevant to mobile communication systems.

Our Masters in Mobile Communications is designed to help students hit the ground running in employment. It is taught by leaders in the field of communications research at a leading UK University known to be expert in engagement with Industry. Our State-of-the-Art labs provide hands-on experience of the practical problems encountered in the design and measurement of communications systems as well as the theoretical solutions to the problems of 2, 3 and 4G.  The course is taught in English with training in technical writing and presentation skills. Take this course for routes to employment if you wish be part of the mobile communications community and share in the prosperity being generated by the most popular technology in the world.

The Programme:

• provides a foundation for a career in modern information engineering through study of advanced modules in digital and mobile communication.
• equips students with state-of-the-art knowledge and skills in areas covering personal and mobile systems. 
• exposes students to a variety of group and individual learning experiences.
• gives opportunity to be part of the research community within the School of Electronic, Electrical and Systems Engineering and attend seminars and interact with world-leading visiting researchers.
• delivers graduates with the skills necessary to work in areas of mobile communication systems, which includes smart phones and new multimedia, interactive services, as well as provision of anywhere-anytime communications.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, The Quality Assurance Agency for Higher Education, April 2012.

Master's degree characteristics, the Quality Assurance Agency for Higher Education, March 2010.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• Mathematical methods appropriate to the programme
• Principles of engineering science appropriate to the programme
• Principles of Information Technology and Communications appropriate to the programme
• Design principles and techniques appropriate to electronic and electrical components, equipment and associated software
• Operational practices and requirements for safe operation relevant to the programme

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme students should be able to

• Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
• Model and analyse engineering systems, processes, components and products
• Develop engineering solutions to practical problems
• Integrate, evaluate and use information, data and ideas from a wide range of sources
• Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme students should be able to

• Use appropriate mathematical methods for modelling and analysing engineering problems relevant to the programme
• Use relevant test and measurement equipment
• Use computational tools and packages (including programming languages where appropriate)
• Design systems, components or processes
• Undertake testing of design ideas in the laboratory or by simulation, and analyse and critically evaluate the results
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

All modules for the Mobile Communication Systems programmes are compulsory.

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Renewable Energy Systems Technology aims to develop a thorough knowledge of the viable renewable energy technologies, with special reference to the generation of electricity in developed and developing countries.

The programme:

• Provides a firm technical background in the key renewable energy fields and creates a context for energy production and use.
• Enables students to specialise in a particular technology or implementation aspect.
• Enables students to undertake a project related to the specialisation in industry, a research laboratory or at the university and during which the student can gain practical or research experience.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education. The Quality Assurance Agency for Higher Education, April 2012.

Master's degree characteristics,  The Quality Assurance Agency for Higher Education. March 2010.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of…

• The principles of a range of renewable energy systems for optimal energy conversion
• The characteristics of the various types of technologies and the associated processes of manufacturing such systems
• Codes of practice and regulatory frameworks relevant to renewable energy systems
• The socio-economic effects of the introduction and use of the relevant technologies

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme students should be able to

• Statistically assess renewable energy resources at a specified location given appropriate data
• Make general performance predictions about various renewable energy system output
• Integrate, evaluate and use information, data and ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme students should be able to

• Design a range of renewable energy systems for optimal energy conversion at a given location and for particular applications
• Analyse economic and planning aspects of renewable energy systems as well as technological considerations
• Use appropriate mathematical methods for modelling and analysing        engineering problems relevant to renewable energy systems
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Work effectively as part of a team
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

4.1 Content

Modules marked 'c' are compulsory. 30 credits of optional modules (indicated as 'o') should also be chosen.

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Renewable Energy Systems Technology aims to develop a thorough knowledge of the viable renewable energy technologies, with special reference to the generation of electricity in developed and developing countries.

The programme:

• Provides a firm technical background in the key renewable energy fields and creates a context for energy production and use.
• Enables students to specialise in a particular technology or implementation aspect.
• Enables students to undertake a project related to the specialisation in industry, a research laboratory or at the university and during which the student can gain practical or research experience.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education. The Quality Assurance Agency for Higher Education, April 2012.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Master's degree characteristics, the Quality Assurance Agency for Higher Education, March 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of…

• The principles of a range of renewable energy systems for optimal energy conversion
• The characteristics of the various types of technologies and the associated processes of manufacturing such systems
• Codes of practice and regulatory frameworks relevant to renewable energy systems
• The socio-economic effects of the introduction and use of the relevant technologies

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme students should be able to

• Statistically assess renewable energy resources at a specified location given appropriate data
• Make general performance predictions about various renewable energy system output
• Integrate, evaluate and use information, data and ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme students should be able to

• Design a range of renewable energy systems for optimal energy conversion at a given location and for particular applications
• Analyse economic and planning aspects of renewable energy systems as well as technological considerations
• Use appropriate mathematical methods for modelling and analysing        engineering problems relevant to renewable energy systems
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Work effectively as part of a team
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

4.1 Content 

Modules marked 'c' are compulsory.

* Three modules to be chosen from the 5 (10 credit) modules list. Pre-requisites apply.

Guidelines on full/partial DL provision are available on the intranet at:

(Distance Learning flow chart)

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Signal Processing aims to develop a thorough knowledge and fundamental awareness of both theoretical and practical solutions for processing signals within digital communication systems.

The programme:

• provides a foundation for a career in modern information engineering through study of advanced modules in digital communications and signal processing.
• Equips students with state-of-the-art knowledge and skills in areas such as multi-modal, audio and video, and multi-sensor, distributed cognitive radio, systems through pursuing an advanced individual project working within the advanced signal processing group.
• Exposes students to a variety of group and individual learning experiences such as using the latest industry-standard real-time signal processing tools from Texas Instruments and case studies provided by academic staff and guest lecturers.
• Gives opportunity to be part of the research community within the School of Electronic, Electrical and Systems Engineering and attend seminars and interact with world-leading visting researchers.
• Delivers graduates ready to exploit signal processing in a wide range of emerging application areas such as big data, bioinformatics, information processing in the smart grid, sensing and networks, software defined and cognitive radio, and wireless communications.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, the Quality Assurance Agency for Higher Education, April 2012.

Master's characteristics, The Quality Assurance Agency for Higher Education, March 2010.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• Mathematical methods appropriate to the programme
• Principles of engineering science appropriate to the programme
• Principles of Information Technology and Communications appropriate to the programme
• Design principles and techniques appropriate to electronic and electrical components, equipment and associated software
• Operational practices and requirements for safe operation relevant to the programme

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme students should be able to

• Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
• Model and analyse engineering systems, processes, components and products
• Develop engineering solutions to practical problems
• Integrate, evaluate and use information, data and ideas from a wide range of sources
• Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme students should be able to

• Use appropriate mathematical methods for modelling and analysing engineering problems relevant to the programme
• Use relevant test and measurement equipment
• Use computational tools and packages (including programming languages where appropriate)
• Design systems, components or processes
• Undertake testing of design ideas in the laboratory or by simulation, and analyse and critically evaluate the results
• Search for and retrieve information, ideas and data from a variety of sources 
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

All modules for the Signal Processing in Communication Systems programme are compulsory.

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Systems Engineering aims to develop a thorough knowledge of the principles and techniques required for the application of the systems approach to multi-disciplinary and complex engineering problems.

The programme aims to develop:

• Knowledge and technical expertise in applying systems principles to a selected range of technologies.
• More extensive and deeper knowledge in related areas through the availability of elective modules.
• An integrated systems engineering approach to related technologies, processes, techniques and their effective use.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence: The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, the Quality Assurance Agency for Higher Education, April 2012.

Master's degree characteristics, the Quality Assurance Agency for Higher Education, March 2010.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

• Mathematical methods appropriate to systems engineering
• Principles of engineering science appropriate to systems engineering
• Principles of Information Technology and Communications appropriate to systems engineering
• Relevant codes of practice and regulatory frameworks
• Relevant operational practices and requirements for safe working

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme students should be able to

• Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
• Model and analyse engineering systems, processes, components and products
• Develop engineering solutions to practical problems
• Integrate, evaluate and use information, data and ideas from a wide range of sources
• Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme students should be able to

• Use appropriate mathematical methods for modelling and analysing relevant engineering problems
• Use computational tools and packages (including programming languages where appropriate)
• Design systems, components or processes
• Undertake testing of design ideas and analyse and critically evaluate the results
• Search for and retrieve information, ideas and data from a variety of sources
• Manage a project and apply appropriate processes
• Produce technical reports, papers, diagrams and drawings

c. Key transferable skills:

On successful completion of this programme students should be able to

• Manipulate, sort and present data in a range of forms
• Use evidence based methods in the solution of complex problems
• Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
• Use an engineering approach to the solution of problems in unfamiliar situations
• Be creative and innovative in problem solving
• Work effectively as part of a team
• Use a wide range of information and communications technology
• Manage time and resources
• Communicate effectively orally, visually and in writing at an appropriate level
• Learn effectively, continuously and independently in a variety of environments

4. Programme structure

4.1 In the following table ‘c’ indicates a compulsory module and ‘o’ indicates an optional module. Four optional modules should be chosen, normally one option module from semester 1 and three option modules from semester 2.

5. Criteria for Progression and Degree Award

5.1 In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

5.2 Re-assessment of modules for candidates eligible under the relevant sections of Regulation XXI will normally take place when the modules are next routinely assessed. Part time students re-assessment may be deferred for one year but in such cases the re-assessment must be taken ‘with attendance’.

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

Programme summary

1. Programme Aims

The Master of Science programme in Electronic and Electrical Engineering aims to develop a thorough knowledge of principles and techniques in state of the art electronic and electrical engineering including areas of national importance:- renewable energy, networks, mobile communications and modern sensor systems, with a focus on emerging technologies and relevant applications.

• To provide, through group and individual learning, a broad knowledge base within  core material covering the key engineering topic areas of renewable resources, modern sensor systems, communications and very large scale integrated circuits.
• To allow students the flexibility to choose between a broad or deep programme of study, over a very wide range of topics, based on their interests.
• To provide concentrated presentation of material in block taught modules allowing completion of each topic as a complete, individual unit. 

• To allow students time between block taught modules for individual study, scholarship and project work. 

• To provide a structure that allows part time study. 

• provides the opportunity to undertake an advanced project in association with one of the research groups in the School of Electronic, Electrical and Systems Engineering at ÌìÌÃÊÓƵ, in industry, or in a number of European institutions participating in EU exchange programmes.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

• IET Learning Outcomes Handbook Incorporating UK-Spec for Bachelors and MEng Degree Programmes 2009. 
• Subject Benchmark Statement: Engineering, Quality Assurance Agency, 2010.
• Master's degree characteristics, Quality Assurance Agency, March 2010.
• The University’s Learning and Teaching Strategy.
• UK Quality Code for Higher Education (the Quality Code) 2011.
• Master’s degree characteristics, Quality Assurance Agency, March 2010.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of a programme, students should be able to demonstrate a knowledge and understanding of:

(K1) Mathematical methods appropriate to the programme

(K2) Principles of electronics, electrical engineering and applications (nanoelectronic circuit design, simulation and test, advanced control and electrical power integration). In particular

(i)  Distributed Generation, transmission and distribution of electrical power.

(ii) Dynamic behaviour of sensor and actuator systems and the faults that may occur with them.

(iii)The design flow for ASIC circuits.

(iv)  Principles of EEE in other areas as determined by options choice.

(v) Research methods applicable to the field of electronic and electrical engineering

(K3) Principles of ICT appropriate to the programme.

(K4) Operational practices and requirements for safe operation relevant to the programme

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme, students should be able to:

(C1)Select and apply appropriate mathematical and/or software approaches for modelling and analysing engineering problems

(C2)Model and analyse engineering systems, processes, components and products

(C3)Develop engineering solutions to practical problems

(C4)Integrate, evaluate and use information, data and ideas from a wide range of sources

(C5)Develop new systems, processes, components or products by integrating ideas from a wide range of sources

b. Subject-specific practical skills:

On successful completion of this programme, students should be able to:

(P1)     Use appropriate mathematical methods for modelling and analysing engineering problems relevant to the programme

(P2)     Use relevant test and measurement equipment

(P3)     Use computational tools and packages (including the UNIX and Windows OS and a variety of programming languages where appropriate)

(P4)     Design systems, components or processes

(P5)     Undertake testing of design ideas in the laboratory and/or by simulation, and analyse and critically evaluate the results

(P6)     Integrate information, ideas and data from a variety of sources

(P7)     Manage a project and apply appropriate processes

(P8)     Produce technical figure, papers and reports.

c. Key transferable skills:

On successful completion of this programme, students should be able to:

(T1) Represent data in a range of different forms and select the most appropriate.

(T2) Use evidence based methods in the solution of complex problems

(T3) Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems

(T4) Use an engineering approach to the solution of problems in unfamiliar situations

(T5) Be creative and innovative in problem solving

(T6) Use a wide range of information and electronic or electrical engineering technology including industry standard packages for ASIC design

(T7) Manage time and resources appropriately

(T8) Communicate effectively orally, visually and in writing

(T9) Learn effectively, continuously and independently in a variety of environments.

4. Programme structure

Students should choose five optional modules over the two semesters.  It is suggested that three are chosen in semester one and two chosen in semester 2. 

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements covered by the University Regulation XXI (Postgraduate Awards).

6. Relative Weighting of Parts of the Programme for the purposes of Final Degree Classification

n/a