• University of Derby Online Learning Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • University of Bristol Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

University of London International Programmes Featured Masters Courses
Cranfield University Featured Masters Courses
Xi’an Jiaotong-Liverpool University Featured Masters Courses
University of Reading Featured Masters Courses
ETH Zürich Featured Masters Courses
"data" AND "fusion"×
0 miles

Masters Degrees (Data Fusion)

We have 11 Masters Degrees (Data Fusion)

  • "data" AND "fusion" ×
  • clear all
Showing 1 to 11 of 11
Order by 
Studentships. * One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Read more

Studentships

* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.

* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.

Stream overview

This course is a stream within the broader MRes in Biomedical Research.

The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.

Who is this course for?

Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.

Stream Objectives

Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:

• Perform novel computational informatics research and exercise critical scientific thought in the interpretation of results.

• Implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex

biomedical data sets.

• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.

• Interpret and present complex scientific data from multiple sources.

• Mine the scientific literature for relevant information and develop research plans.

• Write a grant application, through the taught grant-writing exercise common to all MRes streams.

• Write and defend research reports through writing, poster presentations and seminars.

• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the

MRes Biomedical Research degree.

Projects

A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):

• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection

• What Makes a Biological Pathway Useful? Investigating Pathway Robustness

• Bioinformatics for mass spectrometry imaging in augmented systems histology

• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity

• Fusion of molecular and clinical phenotypes to predict patient mortality

• 4-dimensional visualization of high throughput molecular data for surgical diagnostics

• Modelling short but highly multivariate time series in metabolomics and genomics

• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra

Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!



Read less
The University of Liverpool Management School is one of an elite group of institutions worldwide to be AACSB-Accredited. Read more
The University of Liverpool Management School is one of an elite group of institutions worldwide to be AACSB-Accredited.

Programme Overview

Big Data, a fusion of fast moving digital technologies, management and computer science offers a unique opportunity to study a contemporary subject and attain knowledge which may be applied in a variety of sectors and services.

There is growing demand in the industry and business communities for highly skilled managers with a sound strategic and applied understanding of the opportunities and challenges of Big Data. This programme is for those who wish to pursue a career in this rapidly growing and dynamic field.

Through this programme you’ll be able to:

- Prepare yourself as one of tomorrow’s managers and business executives with unique exposure to current business opportunities, challenges and developments in the area of Big Data Business Management.
- Learn with cutting-edge examples. In addition to presentations, lectures and tutorials, the academic content of the programme is underpinned by case studies and projects which are supported by leading industry practitioners and researchers.
- Develop and demonstrate your own knowledge with a project dissertation.

Key Facts

REF 2014
27th in the UK for 4* and 3* (world leading and internationally excellent), 100% impact and 88% environment at 4* and 3*.

Why University of Liverpool Management School?

'Learning to make a difference'

AACSB-Accredited, the University of Liverpool Management School is in the top 5% of business schools worldwide. Regarded as one of the most rigorous assessments, many top global recruiters will only consider candidates from AACSB-Accredited schools – a clear signal that our programmes respond to the needs of business and meet specific standards of excellence.

The University of Liverpool Management School works with today's leaders in business and management to prepare its students to be the leaders of the future. The school's mission is 'Learning to make a difference' and there is a fundamental belief that the purpose of the School's research and teaching is to develop students who are not only good managers, but individuals who are truly committed to making a difference. We hope that our students will use the knowledge and skills they gain here in their future roles to help solve some of the most endemic problems individuals, enterprises and communities face.

Career prospects

The aim of this programme is to jointly prepare tomorrow’s business leaders with unique exposure to the rapidly evolving field of Big Data and the opportunities, challenges and developments associated with running or expanding digital business enterprises.

Careers Support

From the moment you start your MSc you will have access to a specialist careers team which includes a professionally qualified MSc Careers Adviser and a dedicated International Employer Engagement Officer.

Read less
This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. Read more
This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. It will provide you with the opportunity to gain a sound understanding of the internet protocol suite that forms the core for current data networks. The fusion of the internet world and multimedia is also addressed, as well as wireless communications. You can combine this course with management studies.

Key features
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to study for industry certification, including CISCO, as an optional extra to the masters programme.
-You will have the option to work in one of our state-of-the-art research labs, called WMN (Wireless Multimedia and Networking). WMN is involved in EU and UK research collaborations and offers opportunities for advanced research and short-term research fellowships on completion of your MSc degree.

What will you study?

Using the latest methods and conforming to current network design standards, you will develop a disciplined engineering approach to, and sound practical skills in, the specification, design, modelling and implementation of software and hardware. You will gain specialist knowledge of digital communications , multimedia communications , wireless networks, security issues and other advanced technologies. You will have access to a dedicated test LAN/ WLAN with a diverse range of platforms and equipment, including wireless networks and enterprise scale networking technologies.

The management studies route modules will set your technical knowledge in a management context.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Networking and Data Communications MSc modules
-Data Communications
-Wireless Communications and Networks
-Network and Information Security
-Multimedia Communications
-Project Dissertation

Read less
This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. Read more
This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. It will provide you with the opportunity to gain a sound understanding of the internet protocol suite that forms the core for current data networks. The fusion of the internet world and multimedia is also addressed, as well as wireless communications. You can combine this course with management studies.

Key features

-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to study for industry certification, including CISCO, as an optional extra to the masters programme.
-You will have the option to work in one of our state-of-the-art research labs, called WMN (Wireless Multimedia and Networking). WMN is involved in EU and UK research collaborations and offers opportunities for advanced research and short-term research fellowships on completion of your MSc degree.

What will you study?

Using the latest methods and conforming to current network design standards, you will develop a disciplined engineering approach to, and sound practical skills in, the specification, design, modelling and implementation of software and hardware. You will gain specialist knowledge of digital communications , multimedia communications , wireless networks, security issues and other advanced technologies. You will have access to a dedicated test LAN/ WLAN with a diverse range of platforms and equipment, including wireless networks and enterprise scale networking technologies.

The management studies route modules will set your technical knowledge in a management context.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Networking and Data Communications with Management Studies MSc modules
-Data Communications
-Wireless Communications and Networks
-Network and Information Security
-Business in Practice
-Project Dissertation

Read less
Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. Read more

About Computer Science

Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. in Computer Science are specialists in at least one field of computer science who have wide-ranging science-based methodological expertise.
Graduates are able to define, autonomously and comprehensively, computer science problems and their applications, structure them and build abstract models. Moreover, they are able to define and implement solutions that are at the state of the art of technology and science.

Features

– A broad, international and relevant selection of courses
– As a student, you will work on cutting-edge research projects
– Individual guidance in small learning groups
– Excellent enterprise relations maintained by the chairs and institutes
– Numerous partnerships with universities throughout the world, including a double degree programme with the Institut national des sciences appliquées de Lyon (INSA)

Syllabus

The programme offers the following five focus modules:
1) Algorithms and Mathematical Modelling
2) Programming and Software Systems
3) Information and Communication Systems
4) Intelligent Technical Systems
5) IT Security and Reliability
1) Algorithms and Mathematical Modelling: This module teaches you about determinstic and stochastic algorithms, their implementation, evaluation and optimisation. You will acquire advanced knowledge of computer-based mathematical methods – particularly in the areas of algorithmic algebra and computational stochastics – as well as developing an in-depth expertise in mathematical modelling and complexity analysis of discrete and continuous problems.
2) Programming and Software Systems: This module imparts modern methods for constructing large-scale software systems, as well as creating and using software authoring, analysis and optimisation tools. In this module you will consolidate your knowledge of the various programming paradigms and languages, the structure of language processing systems, and learn to deal with parallelism in program procedures.
3) Information and Communication Systems: In this module you will study the interactions of the classic computer science areas of information systems and computer networks. This focus area represents an answer to the problem of increasing volume and complexity of worldwide information distribution and networks, and for the growing requirements on quality and performance of computer communication. Additionally, you will learn to transfer database results to multimedia data.
4) Intelligent Technical Systems: In this module you are acquainted with digital image and signal processing, embedded systems and applications of intelligent technical systems in industrial and assistance systems, which are necessary for production automation and process control, traffic control, medical and building technology. You will learn to develop complex applications using computer systems and deal with topics such as image reconstruction, camera calibration, sensor data fusion and optical measurement technology.
5) IT Security and Reliability: This module group is concerned with security and reliability of IT systems, e.g. in hardware circuitry and communication protocols, as well as complex, networked application systems. To ensure the secure operation of these systems you will learn design methodology, secure architectures and technical implementation of the underlying components.

Language requirements

Unless English is your native language or the language of your secondary or undergraduate education, you should provide an English language certificate at level B2 CEFR, e.g. TOEFL with a minimum score of 567 PBT, 87 iBT or ITP 543 (silver); IELTS starting from 5.5; or an equivalent language certificate.

To facilitate daily life in Germany, it would be beneficial for you to have German language skills at level A1 CEFR (beginner’s level). If you do not have any German skills when starting out on the programme, you will complete a compulsory beginner’s German course during your first year of study.

Read less
The MA Creative Media Arts. Data and Innovation is designed to respond directly to your needs as someone with the ambition to build a career in one of the growth sectors in the UK. Read more

The MA Creative Media Arts: Data and Innovation is designed to respond directly to your needs as someone with the ambition to build a career in one of the growth sectors in the UK: the creative and cultural industries. The course delivers a unique combination of media art and design methodologies alongside basic management and business analytics, to help you build a successful career or venture within this dynamic sector. The curriculum has been developed in response to important research findings, demonstrating that growth in the wider economy is being driven by a creative sector founded on a fusion between digital technologies, creative practice and the wider arts and humanities. It's what we call the “fusion hypothesis”. Drawing extensively on this concept we have developed a programme that brings the cultures of art, technology and enterprise into new and generative combinations. 

With its emphasis on focused innovation and rapid prototyping the course is unusual in combining a critical media arts perspective with a deep understanding and engagement with the business-led dynamics of the creative industries.

The course is delivered in the context of Bournemouth University’s world renowned Faculty of Media & Communication, known for its contacts at the heart of the media industry. The programme has been developed and lead by leading practitioners from media art contributing business-led research and development insights from the design sector aimed at developing advanced enterprise and creative projects. The image at the top of this page was taken at the Museo Jumex in Mexico City and features work entitled Squidsoup by Liam Birtles, one of the senior lecturers on this course, just one example of the international reach our team has in this field.

Studying this Master’s degree is an ideal next step for applicants from both creative media and the arts and humanities, including areas such as graphic design, visual communications, fine art, performance, audio and sound, and theatre and media production, as well as those from interdisciplinary non-creative backgrounds, such as computer science, geography and engineering, who can demonstrate interest through a creative portfolio or other work experience.

You may have an undergraduate qualification in a related subject or may be able to show your suitability for this programme of study through associated work-experience or evidence of and outputs from other related activities.



Read less
We actively encourage postgraduate students on this course to undertake internships and build up a portfolio of clients and practical experience. Read more
We actively encourage postgraduate students on this course to undertake internships and build up a portfolio of clients and practical experience.

Course overview

Careers in Sport and Exercise Science can develop in at least two directions. Firstly you can help elite athletes reach their optimum sports performance. Secondly you can help the general population to improve fitness through exercise referral and community programmes.

This course allows you to specialise in both those areas, by providing you with a solid grounding in measurement, evaluation, research methods, data analysis, and sport and exercise psychology. Additionally, you will get the chance to study applied physiology, applied biomechanics or complete a personal project. The final stage is a research project that reflects your developed knowledge and skills.

Compared to undergraduate studies, this Masters has more emphasis on self-directed lab work, data collection and analysis. We encourage you to undertake real-world internships and build up experience with external clients and sports clubs. This practical experience will complement the rigorous research elements of the course.

By the end of the course you will have a portfolio of work, feedback from clients/employers, and a record of practical and academic projects. This will give you a clear advantage when it comes to applying for jobs.

Course content

The course mixes taught elements with independent research and self-directed study. There is flexibility to pursue personal interests in considerable depth, with guidance and inspiration from Sunderland's supportive tutors.

Core modules:
-Measurement and Evaluation (20 Credits)
-Applied Sport and Exercise Psychology (20 Credits)
-Applied Research Methods and Data Analysis (20 Credits)
-Masters Project (60 Credits)

Designated core modules (you must choose one of the following, but you may choose the other as an option):
-Applied Sport and Exercise Physiology (20 Credits)
-Applied Biomechanics in Sport and Exercise (20 Credits)

Optional modules (choose at least one):
-Strength and Conditioning in Practice (20 Credits)
-Sports Injuries, Management and Rehabilitation (20 Credits)
-Applied Weight Management (20 Credits)
-Professional Skills and Practice (20 Credits)
-Independent Learning Project (20 Credits)
-Applied Public Health (20 Credits)
-Brief Interventions (20 Credits)

Teaching and assessment

We use a wide variety of teaching and learning methods which include lectures, problem-based learning seminars, web-based resources, small group discussions and debates. You will develop your practical skills with workshops and laboratory classes.

Assessment methods include essays, case studies, portfolios, oral presentations, scientific reports, practical exams, data analyses, critical reviews, poster presentations and a dissertation.

Facilities & location

We have invested in the latest software and equipment so that you have maximum scope to measure and improve performance. Our facilities will propel your learning in sport and exercise sciences.

Biomechanics equipment

Our equipment can measure motion, muscle activity and forces on the body during high intensity sports and the activities of daily living. Equipment and techniques include the following:
-3D motion capture systems including Vicon® systems and Xsens® motion capture suits
-Software such as Dartfish®, Kinovea® and LongoMatch® software to capture live action images for match tagging and coaching feedback
-Movement tracking tools such as Actigraph® and Catapult®
-Delsys® Trigno electromyography equipment to see how the muscles of the body are working
-Kistler® force platforms and Batak® reaction walls to analyse sporting performance
-Novel® Pedar systems to analyse foot pressure

Exercise Physiology and Psychology
Our laboratories include the most up-to-date equipment for assessing human performance. You’ll get hands-on practical experience with the following:
-Polar® Team2 heart rate monitoring system for assessing the heart rates of a full squad of team players in real time
-Cortex® gas analysers to evaluate cardiovascular performance
-Biochemical analysers from Randox®, Jenway® and Gonotec® to measure substances and enzymes within the body
-Tendo®, Myotest® and Globus® equipment to profile your strength and power and develop specific training programmes
-Fusion Sport® SMARTSPEED light gates for assessing speed, agility and reaction times
-Assess and enhance cognitive performance using our Neurotracker® 3D multiple object tracking equipment

Sports Medicine and Anatomy
Anatomy is taught by experienced staff in a specialist clinical lab using skeletons, anatomical models, 3D software, online material and human subjects. You will learn techniques for sports injury rehabilitation, including the use of sports massage and ultrasound equipment.

You will also examine balance and stability using our Biodex® stability and balance trainer and assess strength imbalances using our sophisticated Biodex® dynamometer and new BTE Primus® rehabilitation equipment. You can investigate how new techniques such as thermal imaging are being used in injury assessment with Flir® IR cameras.

Fitness and Conditioning Suite
In our lab, you'll find fitness and conditioning equipment that would be the envy of most modern gyms. From a wide range of cardiovascular equipment to machine and Olympic weights, you will receive hands-on teaching in a professional environment.

University Library Services
The University library has thousands of relevant books, e-books and journal articles, with many more titles available through the inter-library loan service. We subscribe to useful resources such as SPORTDiscus, which provides journal articles, book chapters and summaries about sport, fitness and related disciplines.

Sciences Complex
This course is based in the Sciences Complex at our City Campus, which has benefited from multi-million pound investments. The IT facilities are excellent and, across the University, there are hundreds of workstations as well as wireless internet access. If you have any computer problems, just ask the friendly helpdesk team.

Sports facilities
Students at Sunderland have easy access to some of the best facilities in the region. These include:
-50m Olympic size swimming pool
-95m artificial ski slope
-Climbing wall with some of the best route setters in the UK
-Football training pitches at Sunderland AFC’s Academy of Light
-Marine Activities Centre for sailing, canoeing, kayaking and powerboating
-LTA indoor tennis centre with 13 indoor and outdoor courts
-Floodlit athletics tracks

CitySpace
Our City Campus features a state-of-the-art facility called CitySpace. It features:
-Sports hall (suitable for hosting large-scale events)
-Fitness suite/gym
-Strength and conditioning room
-Injury prevention and support suite
-Fitness classes
-Climbing wall

Employment & careers

Potential employers of graduates from this course include national sports associations, sports and leisure companies, recreation services, local authorities, health bodies including the NHS, schools and colleges. Job roles include the following (some require further training):
-Sports and exercise scientist
-Performance Analyst
-Sports coach/instructor
-Manager of health promotion initiatives
-Manager of cardiac rehabilitation and exercise referral
-Fitness centre manager
-Personal trainer/specialist fitness instructor
-Lecturer

Recent Sunderland graduates are now working within the fitness industry, sports development and in Further Education colleges.
A Masters degree will also enhance career opportunities within Higher Education and prepare you for further postgraduate studies.

Read less
The course will offer an opportunity for students to study modern ground, mobile and airborne engineering surveying techniques. Satellite positioning technology and the sciences and technologies of remote measurement including photogrammetry, total stations and laser scanning, are still developing rapidly. Read more
The course will offer an opportunity for students to study modern ground, mobile and airborne engineering surveying techniques. Satellite positioning technology and the sciences and technologies of remote measurement including photogrammetry, total stations and laser scanning, are still developing rapidly. These primary data collection techniques with supporting subjects such as aspects of geodesy all form part of this course. The generation of traditional map information as well as 3D surface models and landscapes are covered. The course introduces data and information management, data integration and fusion, spatial analysis and visualisation through GIS and a range of modelling methods and software’s.

This course provides the opportunity to develop a knowledge and in depth of understanding of surveying practise and underpinning theory with an emphasis on geographical information science. Student will have an opportunity to develop practical skills, experience and a deeper understanding of the subject through some major practical tasks and modules

Read less
Application period/deadline. November 1, 2017 - January 24, 2018. Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment. Read more

Application period/deadline: November 1, 2017 - January 24, 2018

• Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment

• The studies combine both theoretical and practical approach

• Specializations in Applied Computing, Artificial Intelligence, and Computer Egineering

The International Master’s Degree Programme in Computer Science and Engineering (CSE) is a two-year research-oriented programme concentrating on intelligent digital solutions to real world problems. During the past decades, Computer Science and Engineering has had a significant impact into our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.

The two-year programme has three specialisation options:

• Applied Computing

• Artificial Intelligence

• Computer Engineering

Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.

Artificial Intelligence focuses in various fields of AI, such as machine learning, machine vision, and data mining. This specialisation provides students with a solid theoretical understanding and practical skills on processing and analyzing digital data and the ability to create intelligent solutions to real world problems with modern AI techniques.

Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialisation, students also study signal processing and its applications, and work with projects on modern signal processors and embedded computers. The specialisation gives the students a good basis to work with Internet of Things (IoT) applications.

In addition to the core specialization options, students can take optional courses to widen their specialization expertise into:

• Biomedical signal analysis

• Machine learning

• Machine vision

• Signal processing

• Embedded systems

• Ubiquitous computing

This Master’s programme is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned world-wide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing (UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks. Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.

The programme will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.

Possible titles include:

• Research Scientist

• Software Engineer

• System Designer

• Project Manager

• Specialist

Students applying for the programme must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.

Email Now



Read less
The Masters in Mechatronics is a fusion of mechanical, electrical, electronic and control engineering. Modern industry depends for its success in global markets on its ability to integrate these subjects into both the manufacturing process and innovative products and systems. Read more

The Masters in Mechatronics is a fusion of mechanical, electrical, electronic and control engineering. Modern industry depends for its success in global markets on its ability to integrate these subjects into both the manufacturing process and innovative products and systems.

Why this programme

  • Electronic and Electrical Engineering at the University of Glasgow is consistently highly ranked recently achieving 1st in Scotland and 4th in the UK (Complete University Guide 2017).
  • You will learn how to apply design synthesis and analysis techniques within a coherent range of subjects in mechatronic engineering.
  • You will learn how to utilise specific software tools to support mechatronic system synthesis and analysis activity, and professionally plan, report and present the results of multidisciplinary project activity.
  • The University of Glasgow’s School of Engineering has been delivering engineering education and research for more than 150 years and is the oldest School of Engineering in the UK.
  • Mechanical Engineering is a core engineering discipline that has a long history in the University of Glasgow, dating back to the 1760’s and includes famous people such as James Watt.
  • This programme has a September and January intake*.

*For suitably qualified candidates.

Programme structure

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

You will undertake a project where you will apply your newly learned skills and show to future employers that you have been working on cutting-edge projects relevant to the industry.

Core courses normally offered include

  • Data signal processing
  • Integrated system design project.

Optional courses

  • Advanced manufacture
  • Auto vehicle guidance systems
  • Computer communications
  • Control
  • Fault detection, isolation and reconfiguration
  • Lasers
  • Power electronics and drives
  • Real-time embedded programming
  • Robotics 4.

Career prospects

Career opportunities include manufacturing production systems; system design and manufacture; product engineering and manufacture.

Graduates of this programme have gone on to positions such as:

Senior Software Engineer at Wipro Technologies.



Read less
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.



Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X