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Masters Degrees (Autonomous Vehicles)

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Designed for. SCAV is designed for engineering or STEM subject graduates. Read more

Designed for

SCAV is designed for engineering or STEM subject graduates. It is particularly suitable for those with a background in electronics, electrical engineering, control systems, or communications who want to play a role in the development of connected and autonomous vehicles, and the Intelligent Transportation Systems Network.

With the advent of smart, connected and autonomous vehicles on the horizon of technical advancements, the automotive industry is facing a developmental challenge. How do we develop a robust technical infrastructure to support the anticipated explosive growth in smart vehicular functions, communications systems and driverless cars? This demands a comprehensive understanding of the technology and a bottom-up approach ensuring robustness and dependability of Electronics, Communications (e.g. V-2-V, V-2-I) and Control Systems.

The strategic success of any industrial player in this area would depend on a ready availability of a skilled work-force within high level technical competencies, specifically catered for the automotive environment.

What will the course provide?

Through this MSc we aim to address the knowledge-gap in the areas of machine learning, automated control strategies, connectivity, and communication infrastructure, cyber-security protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles.

WMG at the University of Warwick has an established legacy of leading automotive research in collaboration with industry. Our unique experimental facilities enable academics and industry practitioners to work together and include:

  • 3xD (Drive-in Driver-in-the-loop Driving) simulator facility
  • Fully-functional complete vehicle electrical/electronic system (labcar)
  • Hardware-in-the-Loop (HIL) facilities
  • National Automotive Innovation Centre (NAIC)

This MSc programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR), RDM and other industrial stakeholders.

Course modules

  • Sensor and Sensor Fusion
  • Networks and Communications for the Connected Car
  • Human-Technology Interaction
  • Machine Intelligence and Data Science
  • Robust Automotive Embedded Systems 

Elective modules

You will need to choose four elective modules from the module list*, which should be chosen to supplement your core modules above (subject to availability). *Important, please note: the list relates to modules available in 2017/18 academic year, and should be regarded as an illustrative guide to modules available in future years.

You are required to pass nine modules in total as part of this Master's course.

Project

Leveraging the close partnerships that WMG has with key organisations within the automotive sector, it is envisaged that your project will have an industrial sponsor, enabling you to work in close collaboration with an industry partner. This valuable experience will further your transferrable skills development, and expand your networking opportunities and understanding in a professional research and development environment.

The project is worth 50% of the final grade, and supports you in developing research and analytical skills.

Work on your project runs concurrently with your module study.

Learning style

The taught component of the course consists of lectures, workshops, practicals, demonstrations, syndicate exercises, extended surgery time and reviews. Module leaders are experts in their fields and are supported by external speakers working in organisations at the forefront of their fields.

Assessment is through post module assignment (PMA) rather than exam and is based on the learning objectives of each module. Your PMA should take around 60 hours of work and consolidate the knowledge you have gained from the module.

Each module usually lasts one week. There is more information here about the course structure.

After you graduate

Graduates of this MSc will understand a myriad of factors contributing towards the performance and dependability of connected and autonomous vehicles and will be well placed to continue professional work within R&D.



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Your programme of study. If you want to get involved in our next industry revolution - Industry 4.0 this degree will go a long way to providing you with many skills needed in this high growth industry area which has continued from where the mass communications revolution. Read more

Your programme of study

If you want to get involved in our next industry revolution - Industry 4.0 this degree will go a long way to providing you with many skills needed in this high growth industry area which has continued from where the mass communications revolution. You must have covered either computer science or electrical and electronic engineering as your first degree or a suitable combination to study this Master's degree. The digital age is changing the way we live, communicate, interact and our quality of life rapidly. Cloud based networks are now normal, autonomous vehicles are being explored, visual recognition, GIS aligning to our search interests, data mining to inform us automatically at any point in time what is happening around us and new methods to inform us of danger, awareness, alerts and so on.

Artificial Intelligence provides in depth knowledge of data mining, natural language, information visualisation and communication used in Industry 4.0 innovation industries such as autonomous vehicles, sensor data collection and computation, visual computer recognition software and machine to machine technologies. It is also said that artificial intelligence has the potential to change how we research and act to provide immediate solutions to energy, travel, and gridlock before it happens by setting up more alerts and warnings to us. We now already have the capabilities in smart technology to alert us on maps, apps, weather stations, lighting, sensors and other electronic and wired machine to machine devices to provide instant relevant information.

You are also advised to visit the organisation websites via the link below to find out about the innovations which may be influenced by AI:

Scottish Innovation Centres -

Courses listed for the programme

SEMESTER 1

Compulsory Courses

  • Foundations in AI
  • Machine Learning
  • Evaluation Systems of AI Systems
  • Engineering of AI Systems

SEMESTER 2

Compulsory Courses

  • Data Mining and Visualisation
  • Natural Language Generation
  • Software Agents and Multi-Agent Systems
  • Knowledge Representation and Reasoning

SEMESTER 3

You can broaden and deepen your skills with industry client opportunities where possible

Find out more detail by visiting the programme web page

Why study at Aberdeen?

  • AI or Artificial Intelligence is part of a major industrial revolution globally, linking to the Internet of Things
  • Aberdeen gives you a strong worldwide reputation for teaching in computing science, data science and natural language generation
  • You can be involved in cutting edge innovations which will shape our world in the future

Where you study

  • University of Aberdeen
  • 12 Months Full Time
  • September start

International Student Fees 2017/2018

Find out about fees:

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page and the latest postgraduate opportunities

Living in Aberdeen

Find out more about:

  • Your Accommodation
  • Campus Facilities
  • Aberdeen City
  • Student Support
  • Clubs and Societies

Find out more about living in Aberdeen and living costs 

You may also be interested in:

Information Technology MSc - Campus or Online



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The School of Engineering and Digital Arts offers research-led degrees in a wide range of research disciplines, related to Electronic, Control and Information Engineering, in a highly stimulating academic environment. Read more
The School of Engineering and Digital Arts offers research-led degrees in a wide range of research disciplines, related to Electronic, Control and Information Engineering, in a highly stimulating academic environment. The School enjoys an international reputation for its work and prides itself in allowing students the freedom to realise their maximum potential.

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

We undertake high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Visit the website https://www.kent.ac.uk/courses/postgraduate/262/electronic-engineering

Project opportunities

Some projects available for postgraduate research degrees (http://www.eda.kent.ac.uk/postgraduate/projects_funding/pgr_projects.aspx).

Research areas

- Communications

The Group’s activities cover system and component technologies from microwave to terahertz frequencies. These include photonics, antennae and wireless components for a broad range of communication systems. The Group has extensive software research tools together with antenna anechoic chambers, network and spectrum analysers to millimetre wave frequencies and optical signal generation, processing and measurement facilities. Current research themes include:

- photonic components
- networks/wireless systems
- microwave and millimetre-wave systems
- antenna systems
- radio-over-fibre systems
- electromagnetic bandgaps and metamaterials
- frequency selective surfaces.

- Intelligent Interactions:

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

- Instrumentation, Control and Embedded Systems:

The Instrumentation, Control and Embedded Systems Research Group comprises a mixture of highly experienced, young and vibrant academics working in three complementary research themes – embedded systems, instrumentation and control. The Group has established a major reputation in recent years for solving challenging scientific and technical problems across a range of industrial sectors, and has strong links with many European countries through EU-funded research programmes. The Group also has a history of industrial collaboration in the UK through Knowledge Transfer Partnerships.

The Group’s main expertise lies primarily in image processing, signal processing, embedded systems, optical sensors, neural networks, and systems on chip and advanced control. It is currently working in the following areas:

- monitoring and characterisation of combustion flames
- flow measurement of particulate solids
- medical instrumentation
- control of autonomous vehicles
- control of time-delay systems
- high-speed architectures for real-time image processing
- novel signal processing architectures based on logarithmic arithmetic.

Careers

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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MA Intelligent Mobility is a new 15-month, 240 credit programme that will succeed the existing MA Vehicle Design. It will be launched in 2017/18 alongside the Intelligent Mobility Lab, a new multidisciplinary research centre dedicated to the future of transportation design, systems and urban mobility,. Read more

MA Intelligent Mobility is a new 15-month, 240 credit programme that will succeed the existing MA Vehicle Design. It will be launched in 2017/18 alongside the Intelligent Mobility Lab, a new multidisciplinary research centre dedicated to the future of transportation design, systems and urban mobility, led by Director and inaugural Chair in Intelligent Mobility Professor Dale Harrow. MA Intelligent Mobility aims to place the RCA in the vanguard of the ‘third age’ of automotive design.

The MA Intelligent Mobility programme will comprise two distinct specialisms: Automotive Transitions and Urban Mobility. Automotive Transitions students will focus on using design thinking to develop innovative forms of transportation, such as autonomous vehicles. Urban Mobility students will focus on designing the systems and frameworks that enable people to move through hyper-connected cities. The programme will also acknowledge and explore solutions for the 80 per cent of people in developing or emerging economies who do not have access to transport.

The programme offers:

  • a strong tutor team with diverse and high-level practitioner experience
  • varied creative and cultural backgrounds within the MA specialisms
  • close ties to the Intelligent Mobility Lab, a new multidisciplinary research centre
  • extensive industrial relationships through sponsored projects, internships, portfolio reviews, trips and bursaries/awards. Recent collaborations have been with organisations including: Audi, Bentley, Citroen, Hitachi Rail Europe, Jaguar, Kia, EXA (aerodynamic software), Sabic and TATA
  • close relationships with other RCA programmes, including Fashion, Textiles, Sculpture and Innovation Design Engineering
  • a west-London location at the heart of a uniquely diverse vehicle, design and cultural environment
  • alumni in numerous top design positions globally.


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This course is delivered in Detroit, MI, US. Although open to non-US students it is the responsibility of the student to arrange suitable visas and cover travel costs. Read more

Course Description

This course is delivered in Detroit, MI, US. Although open to non-US students it is the responsibility of the student to arrange suitable visas and cover travel costs. The course provides education and training at postgraduate level for those who expect to fill technically demanding appointments concerned with the design, development, procurement and operation of vehicles.

It will provide students with the technical knowledge and understanding of weapon systems and military vehicles to make them effective in their specification, design, development and assessment. Special attention will be given to recent advances in defence technology; and to educating students in the analysis and evaluation of systems against changes and developments in the threat.

Course overview

The taught element consists of 14 modules covering major aspects of defence technology, providing a balanced and broad coverage of key aspects, issues and constraints associated with the design, development, performance and integration of weapon and vehicle systems.

In addition to the taught part of the course, students can opt either to undertake an individual project or participate in a group design project. The aim of the project phase is to enable students to develop expertise in engineering research, design or development. The project phase requires a thesis to be submitted and is worth 80 credit points.

Earning the appropriate credits can lead to the following academic awards:

- Postgraduate Certificate (PgCert) – any combination of modules (building a total of 60 credits).
- Postgraduate Diploma (PgDip) – all modules (120 credits).
- Master of Science (MSc) – all modules (120 credits) plus project (80 credits).

The programme is delivered in Detroit by delivering one or two modules per visit. There are three visits in a year (April, June and Nov/Dec). Each standard module consists of a one-week course of lectures, tutorials and practical sessions. Students are required to pass an assessment which includes a written exam (50%) on the last day of the course and course work (50%) to be submitted within eight weeks from the last day of the course.

Modules are taught three times a year in Detroit, USA. This allows 60 credits to be attained in two years and 120 credits over three years.

Core modules (10 Credits)

- Fighting Vehicle Design or Finite Element in Engineering
- Modelling, Simulation and Control in Defence Engineering or Systems Engineering and Assured Performance

Compulsory Module (10 Credits) for MSc and Elective for PGCert

- Armoured Fighting Vehicle and Weapon Systems Study

Elective Modules (100 Credits)

- Fundamentals of Ballistics
- Weapon System Technology
- Vehicle Systems Integration
- Electric Drive Technologies
- Military Autonomous Vehicles
- Light Weapon Design
- Gun Systems Design (Gun Systems Stream)
- Military Vehicle Dynamics (Vehicle Stream)
- Military Vehicle Propulsion and Dynamics (Gun Systems Stream)
- Military Vehicle Propulsion (Vehicle Stream)
- Military Vehicle Propulsion
- Solid Modelling CAD (optional)

Individual Project

In addition to the taught part of the course, students can opt either to undertake an individual project or participate in a group design project. The aim of the project phase is to enable students to develop expertise in engineering research, design or development. The project phase requires a thesis to be submitted and is worth 80 credit points.

Examples of current titles are given below:

- Use of Vibration Absorber to help in Vibration
- Validated Model of UGV Power Usage
- Power and Mobility Enhanced Robotic Platform (PMERP)
- Conceptual Design of a Behind Armour Battery Pack
- Effect of Ceramic Tile Spacing in Lightweight Armour systems
- Investigation of Suspension System for Main Battle Tank
- An Experimental and Theoretical Investigation into a Pivot Adjustable Suspension System as a Low Cost Method of Adjusting for Payload
- Investigation of New Compact Suspension Concepts for the Light Armoured Vehicle III
- Analysis of Amphibious Operation and Waterjet Propulsions for Infantry Combat Vehicle.

Assessment

Continuous assessment, examinations and thesis (MSc only).

Funding

For more information on funding please contact the Programme Director, Dr Amer Hameed, email

Career opportunities

Takes you on to employment within the armed forces or defence research establishments.

Further Information

For further information on this course, please visit our course webpage - http://www.cranfield.ac.uk/courses/masters/vehicle-and-weapon-engineering.html

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Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets. Read more

Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets.

The robotics and autonomous systems area has been highlighted by the UK Government in 2013 as one of the eight Great Technologies that underpin the UK's Industrial Strategy for jobs and growth. Key application areas include manufacturing, assistive and medical robots, offshore energy, environmental monitoring, search and rescue, defence, and support for the ageing population.

The University of Edinburgh and Heriot-Watt University are jointly offering this innovative four-year PhD training programme, which combines a strong general grounding in current theory, methods and applications with flexibility for individualised study and a specialised PhD project.

Robotics and autonomous systems are increasingly studied beyond the range of classical engineering. Today robots represent one of the main areas of application of computer science and provide challenges for mathematics and natural science.

It is impossible to imagine transportation, warehousing, safety systems, space and marine exploration, prosthetics, and many other areas of industry, technology and science without robots. Robots are used in theoretical biology and the neurosciences as a model of behaviour.

Areas of interest specific to the center include: movement control, planning, decision making, bio- and neurorobotics, human-robot interaction, healthcare applications, robot soccer, neuroprosthetics, underwater robotics, bipedal walking, service robots, robotic co-workers, computer vision, speech processing, computer animation realistic simulations, and machine learning.

Many more topics can be found be exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:

Training and support

Our four-year PhD programme combines Masters level coursework and project work with independent PhD-level research.

In the first year, you will undertake four or five masters level courses, spread throughout robotics, machine learning, computational neuroscience, computer architectures, statistics, optimization, sensorics, dynamics, mechanics, image processing, signal processing, modelling, animation, artificial intelligence, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take less courses and a larger project.)

At the end of the first year, successful students will be awarded an MSc by Research by the University of Edinburgh. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors. The PhD will be awarded jointly by the University of Edinburgh and the Heriot-Watt University.

You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.

Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.

Our user partners in industry include companies working in offshore energy, environmental monitoring, defence, assisted living, transport, advanced manufacturing and education. They will provide the real world context for research, as well as opportunities for reciprocal secondments, internships and involvement in our industrial engagement programme.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

You will have access to the outstanding facilities in the Edinburgh Robotarium, a national facility for research into robot interaction, supporting the research of more than 50 world-leading investigators from 17 cross-disciplinary research groups.

Research groups at the Edinburgh Robotarium include humanoid movement control, underwater, land and airborne autonomous vehicles, human robot interaction, bio- and neuro-robotics, and planning and decision making in multirobot scenarios.

In addition, our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.

Career opportunities

Our aim is to produce innovation-ready graduates who are skilled in the principles of technical and commercial disruption and who understand how finance and organisation realise new products in start-up, SME and corporate situations.

We intend for our graduates to become leaders in the globally emerging market for autonomous and robotic systems that reduce risk, reduce cost, increase profit and protect the environment. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.

Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.



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The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc with an industrial placement year, making it a two-year course, or with a Masters industrial placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term you take taught modules.

Across the spring and summer terms you’ll work on your Masters Individual Project, either at the University or at a company.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc without a placement or with a Masters industrial placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term, you take taught modules.

Across the spring and summer terms, you’ll work on your Masters Individual Project, either at the University or at a company.

For your placement, you work in an industrial setting for at least 40 weeks, making your MSc a two-year course (full time). We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc with an industrial placement year, making it a two-year course, or without a placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term you take taught modules.

Across the spring and summer terms you’ll work on your Masters Individual Project, either at the University or at a company.

For your Masters placement, you work in an industrial setting for at least 12 weeks. We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
Aerospace systems are the future of the aerospace industry and constitute the major component of all modern aircraft. They are the essential onboard systems that ensure the safe and accurate operation of all aerospace vehicles, from civil passenger planes to sophisticated unmanned aerial vehicles. Read more
Aerospace systems are the future of the aerospace industry and constitute the major component of all modern aircraft. They are the essential onboard systems that ensure the safe and accurate operation of all aerospace vehicles, from civil passenger planes to sophisticated unmanned aerial vehicles.

Why this programme

◾The University of Glasgow has been the home of Aerospace Research for over 60 years. This long-standing activity has culminated in the Division of Aerospace Sciences having internationally recognised expertise in all areas of Aeronautics and Aerospace Systems.
◾The University of Glasgow is one of the few institutions in the UK, and the only University in Scotland, to offer an Aerospace Systems MSc.
◾Aeronautical engineering at the University of Glasgow is consistently highly ranked recently achieving 10th in the UK and 1st in Scotland (Complete University Guide 2017).
◾If you are an aeronautical engineering or avionics graduate wanting to improve your skills and knowledge; a graduate of another engineering discipline, mathematics or physics and you want to change field; looking for a well-rounded postgraduate qualification in electronics & electrical engineering to enhance your career prospects; this programme is designed for you.
◾Students in this programme can benefit from access to our outstanding facilities: including several wind tunnels, a flight simulation lab, an autonomous unmanned vehicle (UAV) laboratory, helicopter test rig laboratories and computer labs for modelling and simulation.

Programme structure

Modes of delivery of the MSc in Aerospace Systems include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

The summer period is dedicated to project work, with either academic or industrial placements providing the context for your project.

Semester 1 core courses
◾Aircraft flight dynamics
◾Control M
◾Navigation systems
◾Simulation of aerospace systems
◾Space flight dynamics 1.

Semester 2 core courses
◾Autonomous vehicle guidance systems
◾Fault detection, isolation and reconfiguration
◾Radar and electro-optic systems
◾Robust control 5.
◾Aerospace systems team design project.

Projects

◾To complete the MSc degree you must undertake a project worth 60 credits.
◾The project will integrate subject knowledge and skills that you acquire during the MSc programme
◾The project is an important part of your MSc where you can apply your newly learned skills and show to future employers that you have been working on cutting edge projects relevant to the industry.
◾You can choose a topic from a list of MSc projects in Aerospace Systems. Alternatively, should you have your own idea for a project, department members are always open to discussion of topics

Example projects

Examples of projects can be found online

*Posters shown are for illustrative purposes

Accreditation

MSc Aerospace Systems is accredited by the Royal Aeronautical Society (RAeS)

Industry links and employability

◾You will be introduced to this exciting multi-disciplinary area of technology, gaining expertise in autonomous guidance and navigation, advanced aerospace control, simulation and simulators, fault detection and isolation, electro-optic and radar systems, and space systems.
◾The School of Engineering has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, advising on projects, curriculum development, and panel discussion.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in the aerospace industry.

Career prospects

Career opportunities include aerospace, defence, laser targeting systems, radar development, electro-optics, autonomous systems and systems modelling.

Graduates of this programme have gone on to positions such as:
Software Engineer at Hewlett-Packard
Avionic and Mission System Engineer at Qinetiq
Engineering Corporal & Driver at Hellenic Army.

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Do you want to be able to help design the next generation of renewable energy systems, clean cars and aircraft? Do you want to be able to invent the electrical systems for future factories and robots?. Read more
Do you want to be able to help design the next generation of renewable energy systems, clean cars and aircraft? Do you want to be able to invent the electrical systems for future factories and robots?

The Power Electronics, Machines and Drives (PEMD) is a 1 year degree course that provides its students with the knowledge to design, construct and analyse integrated networks of power electronic converters, electrical machines, actuators, energy storage devices, and control systems. As a result of recent technical advances, PEMD technology is becoming commonplace and can be found for example in more-electric aircraft and ships, electric vehicles, railway systems, renewable power generation, active management of power distribution systems, automation systems for factories and industrial processes. The adoption of PEMD technology is being driven by the need to increase energy efficiency, and controllability, whilst reducing system weight and maintenance costs.

This MSc course has been designed to equip electrical engineers with the knowledge and skills that are required to design modern PEMD systems, it includes the fundamentals of electrical machine and power electronics design, system integration, control, energy management and protection. The teaching team of eight academic staff belong to the Power Conversion Group and are all actively involved in researching new aspects of machines, drives, power electronics and electrical systems, particularly for applications in transport and sustainable electricity supply. The Group's research activities and industrial links inform the course content and enrich the student experience.

Aims

-To enable you to gain experience in the design and analysis of systems in electrical engineering, for example renewable energy, more-electric aircraft, vehicles, and next-generation electric power transmission
-To enable you to critically evaluate electrical machine and converter technology applied in manufacturing, power systems and transport industries
-To employ recent developments in these research areas and to prepare students who wish to continue on to research studies
-To develop your ability to integrate strands of machines, power electronics, drives and their control

The MSc course begins with an introduction to the fundamentals of converters, machines, actuators and relevant control systems. The course will give you a high level of exposure to system integration and is illustrated by a broad range of high-technology activities related to industrial and other systems.

The next five course units give specialist tuition on advanced topics including machine design, systems analysis, converter circuits and applications. In addition to lectures, tutorials, design exercises and enquiry-based learning, you will attend industrial seminars and practical laboratories which employ mainly industrial equipment. The course will include a `mechatronic' emphasis in examining how system blocks interact and ensuring that electrical and mechanical systems work together.

The summer is spent on this individual dissertation project, which is strongly supported by the Power Conversion Research Group's research base (including the Rolls-Royce University Technology Centre) and extensive industrial contacts. Cutting-edge research areas include versatile power and conversion systems for a variety of applications, including more-electric aircraft and ships, electric and hybrid vehicles, automation systems and autonomous/micro-grid power systems.

Career opportunities

Graduates of the course will have acquired in-depth education in modern design, broad exposure to the expanding range of applications, hands-on experience and integration into state-of-the-art systems. These comprise the special knowledge and skills needed for a professional career in energy conversion systems, an area in which engineers are in demand for key power electronic/drives/automation industries.

Industry's competitive edge relies on high-technology drives and in the integration of systems to provide superior overall performance. Applications include the `more electric aircraft', electric transport and high-reliability systems.

Our students have been employed by companies such as:
-ABB
-BAE Systems
-Cummings Turbo Technologies
-GE Energy
-National Instruments
-Rolls-Royce
-Siemens

Opportunities also exist for further study to doctoral level (PhD) in the Power Conversion Group's recently re-equipped and expanding research laboratories.

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Study a master’s that focuses on your employability by giving you the practical design skills to take a lead role in the electronics industry. Read more

Study a master’s that focuses on your employability by giving you the practical design skills to take a lead role in the electronics industry.

If you want a career working with electronic devices and systems, our master’s will develop your expertise to prepare you for industry. We’ll give you the training to help you become a talented engineer who can adapt and innovate in a swiftly-changing sector.

Our course covers a range of electronics technology including integrated circuits and printed circuit boards. You'll develop in-depth understanding in the intricacies of embedded hardware and software structures. Using modern control, design automation, digital and mixed signal design and computer engineering techniques, you'll explore how to improve the performance of electronic equipment and devices. This gives you a starting point from which to research and develop your own electronic systems, sub-systems, technologies, processes and products.

You’ll learn from academics with expertise in electronic and electrical engineering. Their international collaborations and research activities feed into your teaching and learning experience.

Group and individual projects challenge you to apply your theoretical knowledge in practical design work. They also give you the chance to develop skills in planning, teamwork, leadership and communication. Your individual project could be closely aligned with one of our research groups. You could focus on a variety of electronics applications such as sensors, robotics, electric vehicles or autonomous systems.

You’ll get hands-on lab experience with the latest electronics hardware, tools and systems. Our facilities include:

  • electronic systems laboratory
  • printed circuit fabrication and assembly laboratories
  • real-time digital simulation facility
  • microgrid laboratory
  • autonomous systems and robotics laboratory
  • electric vehicles laboratory
  • power electronics and drives laboratory

Your technical design skills and expertise in managing electronics design processes will equip you for industry. You will graduate with the competency in electronic systems design to pursue a career in electronic companies worldwide.Our top performing MSc students may also choose to further their studies with us through our PhD programme.

Placement

As part of our course, you’ll have the opportunity to apply for a three-month industrial placement after semester 2. This gives you the chance to apply your knowledge in industry. You could go on placement with one of our partner companies or businesses such as Intel. Your individual project will follow on and could be carried out with the same industry partner.

We will do our best to help you find a placement and support and guide you through the process. Our placements team runs workshops in CV writing and interview techniques to prepare you for applying. However, we cannot guarantee you a position. If you are unable to secure a placement, you will transfer onto our 12-month alternative MSc course and carry out your individual project during the summer period instead.



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Computer vision and imaging is the exciting science and technology of machines that see, concerned with building artificial systems that obtain information from images that are derived from a range of sources. Read more
Computer vision and imaging is the exciting science and technology of machines that see, concerned with building artificial systems that obtain information from images that are derived from a range of sources. This MSc in Computing with Vision and Imaging teaches you the skills necessary to undertake work in this ever-evolving field.

Why study at Dundee?

Computer vision and imaging is a rapidly expanding field with plenty of real-life applications and opportunities. Here at Dundee, we encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production.

Application areas include:
controlling processes - e.g. an industrial robot or an autonomous vehicle
detecting events - e.g. for visual surveillance or people counting
organising information - e.g. for indexing databases of images and image sequences
modelling objects or environments - e.g. for industrial inspection
medical image analysis
topographical modelling

You will acquire skills in computer vision, inference, algorithmic underpinnings of computer vision systems, how images and signals are formed, filter, compressed and analysed, and how multiple images can be combined.

Throughout this course, you will also develop the necessary skills to undertake independent research and participate in proposal development and innovation - an excellent grounding for many future careers.

What's Great about studying at Dundee?

Research-led teaching:
Teaching at Dundee is research-led, meaning that the MSc programme benefits from association with cutting-edge research of international standard and its commercial applications.

We also have an active Computer Vision and Image Processing research group. Our Vision and Imaging students are involved in a number of http://www.computing.dundee.ac.uk/projects/vision/projects.php, and have been involved with a number of completed research projects like ACTIVE, a project concerning adaptive interfaces for the operation of secondary controls in motor vehicles using pointing gestures and virtual dashboards.

Links with industry

The School of Computing collaborates with, and has links to, companies such as IBM, NCR and Oracle.

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Postgraduate culture

The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

What you will study

You select seven taught modules, three per semester, during the period September-April. You will make module selections with your advisor.

Semester 1 (Sept-Dec):
Probabilistic Inference and Learning
Signals and Images

Plus two from:
Technology Innovation Management
Computer Graphics
Logical Inference & Symbolic Reasoning
Information Theory

Semester 2 (Jan-Mar):
Vision and Perception
Research Methods

Plus one from:
Computing Research Frontiers
Multi-agent Systems & Grid Computing

Subject to examination performance, you then progress to the MSc project which runs from May to September, or to a Diploma project lasting 9 weeks.

Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.

Computing coursework is often very practical, e.g. writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.

Careers

The knowledge, skills and understanding that you will gain in the areas of computer vision, inference and learning will enable you to work effectively in the application of video and image-based computing - whether you choose industry, commerce or research.

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

Dundee has been described as the largest village in Scotland which gives an indication of how friendly and compact it is. With a population of 150,000 it is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

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The unmanned systems industry is currently undergoing explosive growth; as a result there is an increased demand for unmanned vehicle systems designers. Read more

The unmanned systems industry is currently undergoing explosive growth; as a result there is an increased demand for unmanned vehicle systems designers. Our MSc Unmanned Aircraft Systems Design course has been created to provide graduate engineers with the necessary skills and knowledge to design unmanned airvehicle systems.

Introducing your degree

The future of exploration, transportation and conflict is in unmanned aircraft. Be the future and start a fascinating career on the precipice of national intelligence and technological advancements with a masters in Unmanned Aircraft Systems Design. Sometimes referred to as drones, UAVs, UAS or RPAS, unmanned aircraft are revolutionising our ability to monitor and understand our environment. 

This industry-led course focuses on the cutting-edge design of these sophisticated vehicles and is ideally suited to engineers looking to specialise or to enter into this fast-paced industry.

Overview

Due to the explosive growth of the industry, unmanned aircraft systems designers are in high demand. This course has been created to provide graduate engineers with the skills and knowledge needed to design unmanned aircraft systems.

You will be taught by leaders in the field. The University has a strong reputation in autonomous systems with many world firsts including: SULSA, the first 3D printed plane and the first low-cost maritime surveillance UAV, 2SEAS.

Practical learning is a fundamental part of this one-year course. You will design, build and fly your own unmanned vehicle as part of a group design project. Visit the Design Show website to see examples of students' projects. We provide you with access to world-class facilities to put your design through mission validation including: a UAV test pilot base and dedicated flying site, state-of-the-art wind tunnels and rapid prototyping labs. You will also have the opportunity to study for a pilot’s licence.

Your core modules will give you a solid foundation of aerospace control systems and avionics. You will master design methodologies and put these into practice. Each semester, you can select specialist modules that are aligned to your interests.

The emphasis of the course is on the design of the vehicle, rather than the wider systems such as ground station and software associated with navigation and communications. The course will explore civil and commercial applications of unmanned systems. Although some of the teaching material may reference military technology, the course will not cover military, defence or weapon-specific systems.

In addition to group work, you will undertake an individual research project. Previous examples include the development of a hybrid vehicle and a multi-rotor automated Li-Po battery changer. Our students also benefit from our many industry partnerships and external contributors, including QinetiQ and Rolls-Royce.

View the specification document for this course



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The recent growth in the desire to ‘build’ smart cities requires employees who understand the latest an emerging smart networking technologies including… Read more
The recent growth in the desire to ‘build’ smart cities requires employees who understand the latest an emerging smart networking technologies including Cloud Computing, Virtual Networking, Data Centre Management, Internet of things (IoT), 4G/5G Mobile Networks, Mobile App Development, Unmanned Aerial Vehicles (UAVs), and Data and Network Security, which are creating new opportunities for business education, research and many other aspects of our daily lives.

The course aims to produce graduates with the vision, knowledge and skills to apply these latest smart networking technologies to optimise the ICT networking infrastructure for businesses to design innovative networking solutions, and to develop smart networking-enabled applications and services.

It aims to provide you with the necessary current knowledge and skills to allow you to make an immediate contribution to relevant industries and research environments. The blend of theory and practical applications in smart networking will enhance your employability.

There are six entry points through the year. This allows you to start when it is most suitable. The entry points are:

• September
• November
• January
• March
• June
• July

Visit the website: https://www.beds.ac.uk/howtoapply/courses/postgraduate/next-year/sensors-and-smart-cities#about

Course detail

The expertise that the University of Bedfordshire has in the related areas of smart cities, and the work it has undertaken as part of a world-leading smart city project called MK:Smart means that you will be at the forefront of developments in this exciting area.

Modules

• Wireless Embedded Systems
• Information Governance and Compliance
• Smart Infrastructure and Data Architecture
• Research Methodologies and Project Management
• MSc Project – Sensors and Smart Cities

Assessment

Most units are assessed with examinations and coursework. Details can be found in the individual module specifications. Assessment is carried out according to context and purpose and recognises that you may exhibit different aptitudes in different forms of assessment:

• Most of the units require collaborative assessments that ask students to form teams and work on a selected project or research topics. However, students will be assessed individually based on their contributions to the overall work.
• Oral presentations are also important assessment method in many units that require student to present the projects developed or researched outlined by the assignment specifications.
• There are formal unseen written examinations for two 30 credit units.
• Individual project that can formed as different ways with conjunctions with their supervisors but has to be suitable to the course scope.

Careers

Employability is understood widely as encompassing knowledge, skills and a professional attitude which your tutors expect you to display in all your units. All University of Bedfordshire courses aim to help you to be prepared for the world of work. The Careers Service is there to support you throughout the three years of your study. On the one hand, our curriculum gives you skills that are valuable for a career within Finance in particular but is also relevant for a much wider range of applications such as information analysis or decision support systems. On the other hand, the department will fully use our industry collaboration connections and resources to serve the course delivery. The collaboration industry partners include car manufactory, MK:SmartCity project and airport data security project and so on. These industry collaborations will well help students developing their real world problem solving skills and extended their employability.

The final year unit `Professional Project Management in particular requires you to work in a team so as to apply a current project management methodology that embraces all of these knowledge areas in an integrated way while going through the stages of planning, execution and project control; you will work as part of a team, take responsibility and make autonomous decisions that impact on the project team performance.

Funding

For information on available funding, please follow the link: https://www.beds.ac.uk/howtoapply/money/scholarships/pg

How to apply

For information on how to apply, please follow the link: https://www.beds.ac.uk/howtoapply/course/applicationform

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