Masters Degrees (Intelligent Systems)

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.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science (Intelligent Systems) module descriptions for more detail on what you will study.

Course structure

Compulsory modules

• MSc Project 60 credits
• Bio-Inspired Computing 15 credits
• Knowledge Representation and Reasoning 15 credits
• Image Analysis 15 credits

Optional modules

• Distributed Systems 10 credits
• Mobile Application Development 10 credits
• Machine Learning 10 credits
• Intelligent Systems and Robotics 20 credits
• User Adaptive Intelligent Systems 10 credits
• Data Mining and Text Analytics 10 credits
• Combinatorial Optimisation 10 credits
• Graph Algorithms and Complexity Theory 10 credits
• Big Data Systems 15 credits
• Data Science 15 credits
• Algorithms 15 credits
• Parallel and Concurrent Programming 15 credits
• Cloud Computing 15 credits
• Semantic Technologies and Applications 15 credits
• Scheduling 15 credits
• Scientific Computation 15 credits
• Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science (Intelligent Systems) students have included:

• Object-based attention in a biologically inspired network for artificial vision
• Advanced GIS functionality for animal habitat analysis
• Codebook construction for feature selection
• Learning to imitate human actions

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.

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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. 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. 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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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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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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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

Read less

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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This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.

Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.

This degree is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines.

In addition to traditional technologies related to robotics, embedded systems, design, and control, students will be exposed to system-level design methods and state-of-the-art theory behind some of the newest and most promising fields of artificial intelligence.

Applications include autonomous mobile systems, digital manufacturing, Big Data analytics, Internet of things device engineering, and artificial intelligence programming.

The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacture & Engineering Management.

This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.

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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. 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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The MSc in Computing, IT Law & Management, will equip you with the theories, methods and tools relevant to applications of IT in legal and administrative practice and a good grounding in computer forensics and cybercrime, IT law and management. Delivered by the Department of Informatics, which has an enviable reputation for research-led teaching and project supervision from leading experts in the 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, and the Institution of Engineering and Technology (IET).

- Provides Computer Science and IT graduates with relevant knowledge of law and management and administrative decision support systems.

- Provides interdisciplinary training attractice to many prospective employers, combined with specialisation e.g. computer security, software engineering, legal/administrative applications of knowledge-based systems.

- Offers a grounding in the rapidly developing area of legal informatics, exploring a long tradition of research in artificial intelligence and the law.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/computing-it-law-and-management-msc.aspx

Course detail

- Description -

This programme equips students with a critical understanding of intelligent systems for legal and administrative applications, computer forensics and cybercrime, an appreciation of the aspects of law that are most relevant to the work of IT-professionals, and a grounding in key management techniques.

It is built around taught core modules on intelligent systems for legal and administrative applications, computer forensics and cybercrime, IT law for IT professionals and the principles of management. These modules are complemented by a wide range of optional modules that relate to various aspects of computing and management. The final part of the programme is an individual project that is closely linked to the main themes of the programme, containing a substantial computer science component of either a theoretical or practical nature.

- Course purpose -

For graduates with a background in Computer Science, this MSc will strengthen your understanding of the theories, methods and tools relevant to, for instance, computer forensics and cybercrime, computer security, and legal and administrative applications of knowledge-based systems, whilst allowing you to gain new knowledge of information law and management.

- Course format and assessment -

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

Core modules:

- Individual Project
- Intelligent Systems for Legal and Administrative Applications
- IT Law for IT Professionals
- Principles of Management
- Project Management

Assessed through: coursework; written examinations; final project report.

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 gain employment in software consultancy, specialised software development and project management, where they typically work in analysis roles at the interface between business-side operation and software development / maintenance. Recent employers include CA Technologies, CapGemini, Ernst & Young, JP Morgan and SAS Solutions. Graduates also entered into academic and industrial research in software engineering, algorithms and computer networks.

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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About the course

The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Our taught Masters degrees draw on this focus, and link to the expertise and interests of the Department. They are designed to meet the needs of both students wanting a foundation for a career in research, and those wanting to expand on their skills to accelerate their industrial career.

Contemporary software is frequently developed to function in distributed systems. Applications are deployed across multiple computers, interacting to provide services and to solve problems in a distributed way. This Masters course is suitable for students intending to pursue a career in the software industry, and is a qualifying Masters Degree for Chartered Engineer status. It can also lead to a career in research.

The course in Software Engineering is a two year full-time programme. This degree is the same as the one year MSc in Computer Science (Software Engineering) - G493, with the addition that the student spends a year working in industry after the taught part of the course.

Year one of the course is divided into two parts over three semesters. In part one, you will establish a breadth of necessary skills in a number of core modules whilst directing your own study by choosing specialist modules, worth a total of 120 credits. In part two, you will apply your learning in the individual dissertation worth an additional 60 credits.

Previous study topics have included: Transmission of MIDI music over internet connection, Designing a network intrusion detection system, Online results and statistics using web service technology, Supply chain management system applications and Prototype railway track measurement system.

Whatever your own previous experience or future aspiration, with this course you will benefit from the marvellous integration of cutting-edge theory and practical application, within a world-class department. The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world leading.

Course content

Year 1

Core modules:

Advanced Software Engineering
Machine Learning for Intelligent Systems
Mobile Solutions

Optional modules:

Enterprise Systems Development
Fundamentals of Intelligent Systems
Internet Technologies
Research Skills and Personal Development for Scientists
Statistical Concepts, Methods and Tools
The Object Oriented Programming Paradigm
Research Skills and Personal Development for Scientists (1520)

Year 2

Core modules:

MSC Project
Sandwich Year (PG)

Optional modules:

Statistical Concepts, Methods and Tools

Contact time

Approximately 12 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.

Industrial Year

This degree is the same as the one year MSc in Computer Science (Software Engineering), with the addition that the student spends a year working in industry after the taught part of the course.

• Students study at Aberystwyth University from September to May, and are supported in applying for suitable jobs in the software
industry.
• They work in the UK from June to the following May.
• They return to Aberystwyth to complete their dissertation from June to September

The work in industry is paid employment, not just work experience. Typical annual salaries for an industrial year are between £11,000 and £15,000.

Students wishing to do the industrial year are assisted in finding a place in industry. There is assistance with preparing an appropriate CV, training in what to expect at an interview, and practice in being interviewed by experienced industry interviewers. The Department of Computer Science sends about 70 students each year for a year's experience in industry, and has many contacts in companies enthusiastic to take good students from Aberystwyth University.

As these are paid jobs for companies, we cannot guarantee any student a job - the companies select the employees they want. Students that are unable to find a job can complete the Masters degree without an industrial year.

There is an additional but much reduced fee for the year in industry (presently £800 for the year), and members of staff stay in touch electronically and by visiting students during the year.

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Overview

The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. The course does not require background in programming or data analysis and for those with no such background appropriate training is offered to catch up with others who already have such training or experience. The course aims to match the needs of business that compete globally in a world driven by advances in information technology. The programme aims to develop both technical and people skills making our graduates ready for jobs that offer high satisfaction and regular challenge at the same time. The first semester of the course is organised into modules delivered intensively over three week periods. The second semester is organised using usual semester-long modules with the difference that all these modules are assessed by coursework only. The summer semester is dedicated to a Master’s level research or development project

See the website https://www.keele.ac.uk/pgtcourses/advancedcomputersciencemsc/

Course Aims

The aims of the programme are to equip students with knowledge of a range cutting-edge areas of computer science research and applications and to prepare students to be successful in a variety of computer science related jobs. The course covers advanced computer science topics, including user interaction design, big data, cloud computing, security, intelligent systems and mobile-oriented web applications. The course also provides a good grounding in collaborative team work and general skills for technology consultants.

Core Modules:

User Interaction Design (15 credits – Semester 1): The module provides the knowledge and skills required for a student to be able to work on User Interaction Design based on an evaluated assessment of the factors associated with a given application or user interaction scenario.

Distributed Intelligent Systems (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to control intelligent systems in a distributed and collaborative context, including the programming of robots or intelligent home appliances (e.g. TV, fridge, etc. equipped with embedded computers).

Statistical Techniques for Data Analytics (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to store, process, distribute, visualise and analyse large volumes of big data using distributed databases, statistical techniques and machine intelligence methods.

Cloud Computing (15 credits – Semester 2): The module provides the knowledge and skills required for a student to be able to understand the principles of operations of cloud computing and to develop applications for cloud computing environments, e.g. data storage and distribution, software-as-service, interactive content services.

Web Technologies and Security (15 credits – Semester 2): To module provided an understanding of contemporary web technologies used for both server and client side development of web applications, with particular focus on mobile applications, and an understanding of security aspects of such applications and of the defence methods and techniques employed to provide security.

Collaborative Application Development (15 credits – Semester 2): The module places students in a real world scenario requiring co-operation and communication as well as analysis and design skills. This will involve work for a real world client working as a development team.

Problem Solving Skills for Consultants (15 credits – Semester 1 & 2): This module explores skills such as project management, communication and team working and building. It also provides knowledge of ethical, legal and social issues related to the development and deployment of Information Technology.

Optional Modules:

System Design & Programming (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to design software systems and write object oriented programs in an appropriate programming language (e.g. Java, C#).

Research Horizons (15 credits – Semester 1): To module provides the knowledge for a student about a selected computer science research area and the skills required for the development of a mini-project in this area

Project or Industrial Placement

MSc Project or Industrial Placement (60 credits – Semester 3): Provides an integration of concepts taught on the course in either an academic or business environment

Teaching & Assessment

All first semester 15 – credit taught modules, with the exception of one module delivered over two semesters, will be delivered in block mode, i.e. each of these modules will be delivered over a period of six consecutive weeks. In any week at most two block mode modules will be scheduled to be delivered during the first semester. All taught modules in the second semester are delivered along the whole semester.

The taught modules are mainly assessed by coursework, with examinations in some of the modules. Project assessment is based largely on a substantial final report.

Additional Costs

Additional costs may be incurred for text books, inter-library loans and potential overdue library fines. Some travel costs may be incurred if an external project or placement is undertaken; any such costs will be discussed with the student before the project is confirmed. It will be possible for the student to select an internal project and that would not incur any additional travel costs.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms.

You focus on linking artificial intelligence techniques to real-world applications and projects, including artificial intelligence in business and financial applications, artificial intelligence in games, artificial intelligence in biological sciences and medicine, and artificial intelligence in industrial control.

Our unique course covers the theoretical, applied and practical aspects of artificial intelligence, with an emphasis on:
-Genetic algorithms
-Evolutionary programming
-Fuzzy systems
-Neural networks
-Connectionist systems
-Hybrid intelligent systems

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

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.

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 course opens up employment opportunities designing intelligent software – in banks and businesses designing prediction systems, in computer games companies designing adaptive games, in pharmaceutical companies designing intelligent systems that model a given drug and its various interactions, and in heavy industries designing control systems.

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

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

Artificial Intelligence - MSc
-MSc Project and Dissertation
-Machine Learning and Data Mining
-Professional Practice and Research Methodology
-Group Project
-Intelligent Systems and Robotics
-Computer Vision (optional)
-Game Artificial Intelligence (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Natural Language Engineering (optional)
-Artificial Neural Networks (optional)
-Virtual Worlds (optional)
-Creating and Growing a New Business Venture (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)

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This course is designed in collaboration with transport industry partners to equip you to meet the needs of the rail and road industries. There is an increased demand for advancements in electrical, electronic, control and communication systems for transport, with a particular focus on themes like higher efficiency and sustainability, safety and driving assistance, position and traffic control for smart transport planning.

Modern electrical, electronic, control and communication systems for intelligent transport require today engineers with a combination of skills and solutions from cross-disciplinary abilities spanning electrical, electronic, control and communications. In this context, the overall aim of this Conversion Masters is to provide you with an enriching learning experience, and to enhance your knowledge and skill-base in the area of modern road vehicle and rail transport systems design.

This conversion course is intended both for engineers in current practice and for fresh honours graduates to facilitate their professional development, mobility and employability.

Course content

This course aims to enhance your knowledge and skills in the area of intelligent and efficient transport systems design. You will develop advanced practical skills that will help you determine system requirements, select and deploy suitable design processes and use the latest specialist tool chains to test and/or prototype a device or algorithm. The programme will help you acquire the cross-disciplinary skills and abilities that today are vital to be able to implement effective solutions for modern electrical, electronic and communication systems applied to intelligent transport. The broad range of disciplines covered by the course will enable you to enter a career that requires a cross-disciplinary approach with a practical skillset.

The subject areas covered within the course offer you an excellent launch pad which will enable you to enter into this ever expanding, fast growing and dominant area within the electrical engineering sector, and particularly in the area of intelligent and efficient transport systems. Furthermore, the course will provide the foundations required to re-focus existing knowledge and enter the world of multi-disciplined jobs.

Modules

The following modules are indicative of what you will study on this course.

Core modules
-Electric Motors and Control for Transport Systems
-Power Conversion and Drives for Transport Systems
-Project
-Sensor, Data Acquisition and Communication for Transport Systems

Associated careers

The course provides the foundations required to re-focus existing knowledge and enter the world of multi-disciplined jobs. Graduates can expect to find employment, for example, as Electrical systems design engineers; Control systems engineers, Transport systems engineers; Plant control engineers; Electronic systems design engineer; Communication systems design engineers; Sensor systems engineers; Computer systems engineer. Examples of typical industries of employment can be: Transport; Automobile; Aviation; Electrical systems; Electronic systems; Assembly line manufacturers; Robotics and home help; Toy; Communication systems; Logistics and distribution; Consumer industry; Life-style industry; Security and surveillance; Petro-chemical.

Professional recognition

This course will be seeking accreditation from the IET.

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The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. 

Commercial focus

Students will learn how systems ‘think’ and be able to apply their understanding to systems analysis and design methodology to enable them to plan, manage and design and implement information management projects.

After you’ve graduated

Our graduates leave us prepared to take on a range of jobs in the digital economy, from systems analysis and design, to product development and management consulting. Among other organisations, our alumni join financial services firms, IT companies, consulting firms, software houses, healthcare and the public sector.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

• Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
• Excellent networking potential : 72,000 Henley alumni members in 150 countries
• High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
• Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
• World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
• Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

• Business Informatics - INMR91
• Research Methods - INMR62
• Business Domain and Requirements Analysis - INMR66
• Systems Analysis and Design - INMR72
• Enterprise Systems - INMR88
• MSc Dissertation (Information Management) - INMR90

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

• IT Project Management - INMR65
• Business Service Design - INMR92
• Business Intelligence and Data Mining - INMR77
• Managing Complexity Using Systems Thinking and Strategic Modelling - INMR76
• Big Data in Business - INMR89

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module INMR66 – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice. 

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