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Masters Degrees (Autonomous Vehicles)

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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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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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Intelligent systems will soon be an integral part of our life and an important competitive factor in service-oriented organizations and in industrial automation. Read more
Intelligent systems will soon be an integral part of our life and an important competitive factor in service-oriented organizations and in industrial automation. Örebro University offers a 120-credit, international Master’s Programme, which gives insight into the cutting edge research in the field of Robotics and Intelligent Systems. For example, students learn about the methods used by autonomous vehicles to know where they are, how the navigation software in your phone finds the best route, and the sensors that robots and intelligent systems use to perceive the world.
The programme offers two levels of graduation: a 60-credit Master of Science degree in Computer Science (one year), providing gin-depth knowledge of advanced research topics and software engineering competences which can be readily applied to the job market; or a 120-credit Master of Science degree in Computer Science (two years), for those who wish to gain a higher degree of autonomy in problem solving and innovative thinking, possibly pursuing a career in R&D or academia.

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An MSc-level conversion programme for those with first degrees in numerate disciplines (e.g. Maths, Physics, others with some mathematics to pre-university level should enquire). Read more
An MSc-level conversion programme for those with first degrees in numerate disciplines (e.g. Maths, Physics, others with some mathematics to pre-university level should enquire). The programme targets producing engineers with the knowledge and skills required for working in the communications industry on programmable hardware, in particular. There is a high demand for people to fill such roles in communications and test & measure equipment vendors, and in many smaller companies developing devices for the internet of things.

The huge growth of interconnected devices expected in the Internet of Things and the goals of flexible, high-speed wireless connections for 5G mobile networks and beyond, require programmable, embedded electronics to play a vital role. From the development of small, intelligence sensors to the design of large-scale network hardware that can be functionally adaptive in software-defined networking, there is a huge demand for advanced embedded electronics knowledge and skills in the communications sector.

Visit the website https://www.kent.ac.uk/courses/postgraduate/1223/embedded-communications-engineering

About the School of Engineering and Digital Arts

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting field of digital media.

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.

The School undertakes 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.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

EL829 - Embedded Real-Time Operating Systems (15 credits)
EL849 - Research Methods & Project Design (30 credits)
EL893 - Reconfigurable Architectures (15 credits)
EL896 - Computer and Microcontroller Architectures (15 credits)
EL822 - Communication Networks (15 credits)
EL827 - Signal & Communication Theory II (15 credits)
EL871 - Digital Signal Processing (DSP) (15 credits)
EL872 - Wireless/Mobile Communications (15 credits)
EL873 - Broadband Networks (15 credits)
EL890 - MSc Project (60 credits)

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

The programme targets producing engineers with the knowledge and skills required for working in the communications industry on programmable hardware, in particular. There is a high demand for people to fill such roles in communications and test & measure equipment vendors, and in many smaller companies developing devices for the internet of things.

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.

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.

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

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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

Research profile

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.

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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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. Read more
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.

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

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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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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 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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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.

This course is offered via block delivery. There are two entry points (October and November). This allows you to start when it is most suitable

Visit the website: https://www.beds.ac.uk/howtoapply/courses/postgraduate/next-year/sensors-and-smart-cities-15-months#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

Visit the MSc Sensors and Smart Cities (12 months) page on the University of Bedfordshire website for more details!

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