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This program helps to enhance the knowledge and competencies of building services and related professionals engaged in complex multi-disciplinary building projects that involve the provision of effective and efficient solutions to an ever-evolving urban built environment. Read more
This program helps to enhance the knowledge and competencies of building services and related professionals engaged in complex multi-disciplinary building projects that involve the provision of effective and efficient solutions to an ever-evolving urban built environment.

Program Objectives

Ever since the first appearance of the term ‘Intelligent Buildings’ in US in the early 1980s, it has grown into a major area of study for design and management professionals involved in major modern urban building projects. The start of the twenty-first century is witnessing rapid developments in intelligent building design technology and management. Building services engineers have to deal with complex multi-disciplinary building projects that involve the provision of effective and efficient solutions to an ever-evolving urban built environment. The provision of a quality and up-to-date postgraduate level program such as this MSc program helps to enhance the knowledge and competencies of professionals who are engaged in intelligent building projects in modern metropolises such as Hong Kong and major cities in Mainland China. The program aims to contribute towards the sustainability of today’s urban built environment.

The MSc program in Intelligent Building Technology and Management is a postgraduate degree program designed for professionals in the building services industry. They can be mechanical engineers, electrical engineers, building services engineers, civil engineers, architects and other building operation professionals who wish to pursue comprehensive studies in intelligent building design, operation and facilities management. Our program consists of core courses that equip students with the basic theme and foundation on intelligent building technology and management concepts, and a variety of electives that cover topics from safety and health issues, risk management, energy management, to impact analysis and use of advanced building materials, indoor air quality, facility management, etc. The program aims to provide a balance between both frontier technology updates and management strategies, in both a quantitative and qualitative way.

Curriculum

All students are required to take a total of 30 credits to complete the MSc(IBTM) program. The program consists of two core courses that all students are required to take. The remaining credits will be taken from the elective courses. Subject to the approval of the Program Director, students may take a maximum of nine credits of non-IBTM courses, which may include a maximum of six credits of CIEM courses from the MSc program in Civil Infrastructural Engineering and Management and a maximum of six credits of MESF or MECH courses offered by the Department of Mechanical and Aerospace Engineering as partial fulfillment of the graduation requirement.

Core Courses
-IBTM 5010 Intelligent Building Facility Management
-IBTM 5050 Intelligent Building System

Elective Courses
-IBTM 5150 Advanced HVAC Systems
-IBTM 5200 Advanced Energy Conversion Systems
-IBTM 5260 Architectural Acoustics and Audio Systems
-IBTM 5300 Computational Methods in Building Environment Design
-IBTM 5330 Energy Management in Buildings
-IBTM 5430 Indoor Air Quality Technology and Management
-IBTM 5460 Materials in Built Environment
-IBTM 5470 Mechanical Vibration
-IBTM 5500 Occupational Safety and Health Issues in Buildings
-IBTM 5530 Risk Management and Decision-Making in Intelligent Building
-IBTM 5550 Financial Assessment of Intelligent Building Systems
-IBTM 5620 Electrical Facilities in Intelligent Buildings
-IBTM 6010 Special Topics in Intelligent Building Systems *
-IBTM 6010A Special Topics in Intelligent Building Systems: Leadership & System Design
-IBTM 6010B Special topics in Intelligent Building Systems: Mechanical Vibration
-IBTM 6010C Special Topics in Intelligent Building Systems: Entrepreneurship and Smart Building Technologies
-IBTM 6010D Special Topics in Intelligent Building Systems: Micro Sensors for Smart Buildings
-IBTM 6950 Independent Studies *

All Core and Elective courses carry 3 credits each, except IBTM 6950 which is worth 3 or 6 credits.

* A maximum of six credits of IBTM 6010 and a maximum of six credits of IBTM 6950 (which may be taken once only) may be counted toward the graduation requirement.

** Courses are offered subject to needs and availability.

Facilities

Students can enjoy library support, computer support, sports facilities, and email account at no extra cost. Upon graduation, students could also apply for related alumni services.

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An MSc in Intelligent Systems will allow you to gain a broad understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using a large range of tools and techniques. Read more
An MSc in Intelligent Systems will allow you to gain a broad understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using a large range of tools and techniques. Delivered by the Department of Informatics, which has an enviable reputation for research-led teaching and project supervision from leading experts in their field.

Key benefits

- Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT, the Institution of Engineering and Technology and the Institution for Mechanical Engineers (IMechE).

- Broad understanding of the whole field of intelligent systems, providing theoretical and practical knowledge of a range of techniques for developing intelligent software and machines in preparation for further study at PhD level or entrance to the job market.

- Access to speakers of international repute through seminars and external lectures, enabling students to keep abreast of emerging knowledge in intelligent systems and related fields.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/intelligent-systems-msc.aspx

Course detail

- Description -

Engineering systems and devices of all kinds are increasingly required to behave in more intelligent ways. Intelligent control systems are thus increasingly required by industry. Furthermore, engineers and scientists are increasingly looking to nature for intelligent solutions to complex problems. There is a growth in interest in intelligent methods for solving a huge range of problems across many disciplines. This programme aims to address the upsurge in interest in this field and the future need for graduates in this area. The programme is taught jointly by the Division of Engineering and the Departments of Computer Science and Mathematics.

- Course purpose -

The programme is designed for graduates in science and engineering with a good knowledge of computer programming and mathematics wishing to obtain specialised training in intelligent systems. It provides students with a broad understanding of the field and practical knowledge and expertise sufficient to evaluate, design and build intelligent systems using a large range of tools and techniques.

- Course format and assessment -

Lectures, tutorials, seminars, laboratory sessions, optional career planning workshops.

There is an emphasis on project work to enable students to gain practical experience of applying the knowledge they gain from taught courses. There is a group project in which teams of students build intelligent mobile robots which compete against each other to perform a task. In addition, students also undertake a substantial individual project, the topic of which may be related to the ongoing research of members of staff or the student's own research interests. Also assessed through coursework and written examinations.

Career prospects

Via the Department’s Careers Programme, students are able to network with top employers and obtain advice on how to enhance career prospects. Our graduates have gone on to have very successful careers in industry, commerce and academia.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. Read more
Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. This field has allowed us to develop everything from satellites and submarines, to racecars and robots.

Research carried out by our team has resulted in appearance in the Robot Soccer World Cup final, an autonomous robot fish in the London Aquarium, and a self-programming computer vision system.

Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology. Thanks to the leading research being undertaken in our School, you will gain a solid understanding of the foundations of this technology, exploring areas including:
-The principles by which sensed data are converted into useful information
-The practical aspects of developing intelligent and robotic systems
-Biologically-inspired robots
-Biometrics
-Computational intelligence

Our MSc Intelligent Systems and Robotics is delivered by our team of internationally recognised researchers, with expertise spanning the entire range of intelligent systems and experience of developing robots intended for land, under water and in the air.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Computer Vision
-Group Project
-Intelligent Systems and Robotics
-Machine Learning and Data Mining
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Artificial Neural Networks (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-Electronic System Design & Integration (optional)
-Evolutionary Computation and Genetic Programming (optional)
-High Level Logic Design (optional)
-Game Artificial Intelligence (optional)
-Virtual Worlds (optional)
-Natural Language Engineering

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The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. Read more
The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. You will gain experience in an exciting wide range of topics, providing you hands-on experience. You will learn about the development of embedded control systems for robots, intelligent algorithms and their application to robotics, communications and systems programming, all with a focus on the practical implementation, both in hardware and simulation. The MSc culminates in a large group project focussed on collective robotic systems, ranging from ground-based units to flying robots. You will have the opportunity to work in a state of the art, dedicated, robotics laboratory for some of your modules and your final project, see the York Robotics Laboratory website for more details on the lab.

The MSc is intended for students who want to learn about robotic and autonomous systems for employment in related industries, or who are seeking a route into a PhD.

The broad aims of the course are to provide:
-A thorough grounding in the use of scientific and engineering techniques as applied to intelligent robotic systems
-A detailed knowledge of the development and deployment of intelligent robotic systems
-A detailed knowledge of the latest developments in intelligent robotics and an ability to reflect critically on those developments
-A detailed understanding of engineering collective robotic systems with emergent behaviours
-Experience of undertaking a substantial group project, on a subject related to research in autonomous robotic systems

Group Project

The aim of this substantial group project is to immerse the students in a life-like scenario of a group of engineers developing a large scale collective robotic system. The project will involve the design, construction and implementation of the control of a heterogeneous collective robotic system, providing students with practical experience of project management and team skills. The system will include both software (such as individual and collective robotic control, low-level programming) and hardware (such as hardware design or customisation) components. The project will culminate in the design and realisation of a collective robotic system that will undergo various test scenarios in the robotics laboratory.

The project preparation will begin towards the end of the Autumn term when groups will be develop a Quality Assurance manual, that will prepare the students to establish effective group policies, procedures and roles for group members, introducing the Quality Assurance processes applied to medium to large projects in industry. The group will be given a scenario and begin establishing requirements and develop outline designs.

In the Summer term, the project will get under way. Groups of 4-6 students will be formed, assigned a target system to design, and provided with a budget. In this term, the students will prepare a design document that will be followed for the remainder of the project. Detailed system specifications will be established and initial prototypes developed. You will make full use of the Robotics Laboratory and spend the vast majority of your time working on robotic systems and attempting to develop an innovative solution to the problem given. Full technical support is available in the laboratory.

A final presentation of each group is done in September where live demos of the system developed have to be provided. This is combined with a group presentation on the work undertaken and contributions made by each individual. Group documentation is submitted along with an individual report.

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The MSc Future Intelligent Technologies aims to equip students and engineering professionals, through a diverse range of research informed learning, with the skills to maintain a future-thinking career. Read more
The MSc Future Intelligent Technologies aims to equip students and engineering professionals, through a diverse range of research informed learning, with the skills to maintain a future-thinking career. The programme goes beyond current technology, looking at predicting future innovation by equipping learners with the tools to see through media hype and effectively analyse the evolution of future technologies and engage with these technologies as they emerge. The programme provides the opportunity to explore: future technologies; robotics; cybernetics and intelligent systems; distributed systems; advanced design and ergonomics; securing future technologies; and future business thinking, all set within a forward thinking context. This programme offers the opportunity to participate in a highly motivated intellectual environment with research active tutors and like-minded peers, whilst exploring and engaging with cutting edge future technologies.

Whether you're looking to deepen and diversify your industrial experience, or continue your education through an innovative master's degree, this programme provides an ideal opportunity to develop your technical and intellectual skills, staying one step ahead. The Faculty of Engineering and Science accredits its computer, electronics and communications engineering programmes with the Institute of Engineering Technology, with postgraduate programmes contributing towards the further learning requirements of Chartered Engineer status.

The aims of the programme are:

- To show you how to analyse, design, implement and manage intelligent and future focused technologies and systems in the context of engineering-related issues facing global societies

- To provide you with the skills to further your career in these areas

- To support you in understanding the innovative and pioneering approaches in this field and to be able to apply them to the solution of present, near future and future real-world problems in developing novel industrial and commercially-relevant solutions.

Visit the website http://www2.gre.ac.uk/study/courses/pg/enggen/fut-int

What you'll study

Future Technologies
Robotics
Cybernetics and Intelligent Systems
Distributed Systems
Research, Planning and Communication
Future Business Thinking
Securing Future Technologies
Individual Research Project

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Assessments include examinations, coursework, group work and an individual project.

Specialist equipment/facilities

Online resources: Students will require access to existing online resources such as Moodle, e-mails, library online resources, databases, Web of Knowledge, Scopus, Internet of Things, Internet of Everything.

Hardware: Computers, laboratory equipment to include but not limited to: experimental and laboratory equipment to support practical based learning (hardware and software development systems, robotic hardware, mobile robots, cybernetics hardware and software, Internet of Things, Sensors and Systems, WiFi development, 3D printers, laser cutters, 3D scanners, cutting edge single board computers)

Software: Matlab, Simulink, C/C++ compilers, development systems, networking and communication protocol monitoring and development.

Robotics: A specialist robotics laboratory has been developed containing a Robothespian industrial robotic arm, mobile robots and other robotic actuators and systems.

Professional recognition

Accreditation will be sought for the programme, initially from the Institute of Engineering Technology (IET) – contributing towards the further learning requirements of Chartered Engineer status.

Career options

Postgraduate students from this programme will find employment opportunities as futurologists, engineers, scientists and technical managers in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies and similar), in the public sector (local government, town and country planning), as entrepreneur or they may wish to pursue further qualifications such as a PhD within the Faculty of Engineering and Science at the University of Greenwich to become even more specialised. City banks, currency and stocks trading companies, consultancies, government agencies and NGOs will also be interested in employing the type of future orientated intelligent systems engineers that will graduate from this MSc.

Careers and employability

FACULTY OF ENGINEERING & SCIENCE
We work with employers to ensure our degrees provide students with the skills and knowledge they need to succeed in the world of work. They also provide a range of work experience opportunities for undergraduates in areas such as civil engineering, manufacturing and business information technology.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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There is a growing industry in intelligent transport systems addressing transport problems around the world. The Transport Planning and Intelligent Transport Systems (ITS) MSc will enable you to develop a systematic understanding of ITS and intelligent mobility. Read more

Course Overview

There is a growing industry in intelligent transport systems addressing transport problems around the world. The Transport Planning and Intelligent Transport Systems (ITS) MSc will enable you to develop a systematic understanding of ITS and intelligent mobility.

This course will teach you a critical awareness of current problems in the field of Intelligent Transport Systems (ITS), informed by the latest research. You will develop a comprehensive understanding of appropriate techniques and practical approaches to the planning, management and operation of transport systems. The course is ideal for those with a background in computing, electronics or electrical engineering, numeracy or transport.

The compulsory course modules are supplemented by research seminars, site visits, engagement with local industry and visits from professional institution practitioners.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/transport-planning-its-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/transport-planning-its-msc/#howtoapply

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Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. Read more
Robotics requires a well-developed knowledge of areas ranging from computer science and artificial intelligence, to engineering and neuroscience, in order to produce hardware which can sense and manipulate the real world. This field has allowed us to develop everything from satellites and submarines, to racecars and robots.

Research carried out by our team has resulted in appearance in the Robot Soccer World Cup final, an autonomous robot fish in the London Aquarium, and a self-programming computer vision system.

Our course provides a comprehensive coverage of contemporary intelligent systems, with robots serving as a major example of the technology. Thanks to the leading research being undertaken in our School, you will gain a solid understanding of the foundations of this technology, exploring areas including:

- The principles by which sensed data are converted into useful information
- The practical aspects of developing intelligent and robotic systems
- Biologically-inspired robots
- Biometrics
- Computational intelligence

Our MSc Intelligent Systems and Robotics is delivered by our team of internationally recognised researchers, with expertise spanning the entire range of intelligent systems and experience of developing robots intended for land, under water and in the air.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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Degree. Master of Science (two years) with a major in Transportation Systems Engineering. Read more
Degree: Master of Science (two years) with a major in Transportation Systems Engineering

The Intelligent transport system master's programme focuses on the integration of telecommunications and information technology into vehicles and physical road infrastructure in order to achieve increased efficiency, safety and mobility while decreasing environmental impact.

The programme gives students the engineering and managerial skills required for the design, planning, analysis and management of transport systems. The focus lies on road transportation systems and public transport and the understanding of traffic congestion, air pollution and road accident prevention.

The ITS programme gives students the skills to understand and control transport systems through the use of optimisation and simulation tools and application of telecommunications and geographical information systems. Study areas also include traffic modelling and traffic simulation, as well as road safety issues and management skills. To prepare the students for management positions, language and oral and written communication courses are integrated in the programme.

During the course of the programme students will be able to specialise in areas such as traffic safety management, mobile and wireless telecommunications or mathematical modelling of traffic systems. The programme ends with a six month long degree project.

ITS students at Linköping University will be at the frontline of Swedish ITS research as Linköping University is the coordinating university of the Swedish National Postgraduate School of ITS. The university is also a member of ITS-EduNet, the network for Training and Education on Intelligent Transport Systems.

The Intelligent transport systems master's programme is designed to prepare students for a career as a traffic engineer or traffic planner in public or private organisations, or as a developer of products and services related to the transport sector. Students are also well prepared for a research career or for continuing their studies towards a PhD degree.

Welcome to the Institute of Technology at Linköping University!

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From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. Read more
From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.

Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.

You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.

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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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Develop the skills and strong relationships with leaders in the UK digital games industry that will help you pursue a successful career in games- http://www.gold.ac.uk/pg/mphil-phd-intelligent-games/. Read more
Develop the skills and strong relationships with leaders in the UK digital games industry that will help you pursue a successful career in games- http://www.gold.ac.uk/pg/mphil-phd-intelligent-games/

As part of the EPSRC Centre for Doctoral Training Intelligent Games and Game Intelligence (IGGI) – a collaboration between Goldsmiths, the University of York, and the University of Essex – we are training the next generation of researchers, designers, developers and entrepreneurs in digital games.

It's a unique opportunity for you to undertake research in collaboration with our 60 industrial games partners and world-leading academics.

Contact the department

If you have specific questions about the degree, contact Dr Jeremy Gow.

Structure

The programme combines practical skills training with advanced teaching in cutting-edge research topics and the chance to contribute original research to a growing academic area.

There are 12 weeks of taught modules in the first year, covering:

Game design
Game development
Research skills

You'll also undertake two industrial placements during the programme. This will give you first-hand industrial experience that will influence your research projects.

You could decide to carry out leading-edge research in emerging areas that could include:

Embodied interaction
Intelligent games/Believable characters
Gamification
AI for game design

The MPhil programme offers the opportunity for the student to continue their research to a PhD.

Department

Computing at Goldsmiths is ranked 17th in the UK for the quality of our research**

**Research Excellence Framework 2014, Times Higher Education research intensity subject rankings

The Department of Computing offers a creative, contemporary and pioneering approach to the discipline.

From developing computers that can compose music and paint pictures, to defining and implementing new social media tools and applications, we aim to invigorate computing and the world around it.

Learn by doing

We place a great emphasis on creativity, independence and ‘learning by doing’. Students undertake practical work in real-world situations, carrying out projects in ways that mirror industry practice.

Interdisciplinary approach

We also promote an interdisciplinary approach to the subject: from computational arts to games and entertainment, and from data science to digital journalism.

Industry experts

You’ll be taught by industry experts – our academics are deeply engaged in current research, with many applying their knowledge and skills to developing cutting-edge technology. And we have close links with industry, too, regularly inviting leading professionals to deliver lectures and talks.

Skills & Careers

Develop the skills and strong relationships with leaders in the UK digital games industry that will help you pursue a successful career in games.

You'll be able to lead and define the state of the art in gaming, and will have the skills needed to shape the industry into one that is both technologically advanced and research aware.

You'll also benefit from the relationships you developed with the UK digital games industry, which could form the basis of a network of professional contacts that is likely to be very useful in the future.

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

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

About the course

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

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

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

Reasons to Study

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

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

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

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

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

Course Structure

Modules

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

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

Teaching and Assessment

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

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

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

Contact and learning hours

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

To find out more

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

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

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

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Take advantage of one of our 100 Master’s Scholarships to study Intelligent Wireless Networks for Healthcare at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Intelligent Wireless Networks for Healthcare at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The Department welcomes applications from students wishing to pursue graduate level research in Intelligent Wireless Networks for Healthcare.

Medical Engineering is the application of engineering principles to both the human body and to a broad range of instrumentation used in modern medicine.The courses at Swansea University draw on the exciting medical research that is taking place within the College of Engineering and the College of Medicine. The research success in the two colleges led to the creation of the £22 million Centre for NanoHealth (CNH), a unique facility linking engineering and medicine.

Our Medical Engineering graduates gain the skills of engineering, whilst also providing employers with the added experience and knowledge of anatomy and physiology, and the ability to communicate with clinicians.

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Cover theory and practice for the design and implementation of intelligent systems – you’ll be well prepared for research and development. Read more
Cover theory and practice for the design and implementation of intelligent systems – you’ll be well prepared for research and development.

Whether you’re from a computing background or not, our introduction to Java will develop your programming skills and enable you to access our specialist options.

You have the opportunity to study key areas in machine learning and complex systems, as well as a range of topics in cutting-edge areas such as:
-Cognitive modelling
-Evolutionary computation
-Image processing
-Natural language processing
-Consciousness science

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

How will I study?

You will study a number of core modules and options. In the summer term, you will undertake a supervised dissertation.

You may have opportunities to work with an industrial partner, with scope offered to specialise. Some project work has led to journal and conference publication.

You are assessed through:
-Coursework
-Unseen examinations
-Essays
-Programming projects
-Group projects
-Presentations
-A 12,000-word 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 Informatics, you are encouraged to seek a project with a commercial or industrial flavour. Finding an industrial sponsor or host is fine, though you will still need an academic supervisor.

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

Our students are highly employable, with 95% of recent graduates’ job roles being at professional or managerial level.

Our graduates have gone on to careers in software development, systems analysis and technical communication. A high proportion of our graduates go on to undertake research degrees at Sussex and other prestigious universities.

Employers of our graduates include:
-Logica
-Sony
-Siemens
-American Express

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

About the course

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

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

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

Reasons to Study

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

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

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

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

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

Course Structure

Modules

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

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

Teaching and Assessment

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

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

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

Contact and learning hours

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

Academic expertise

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

To find out more

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

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

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

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