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Masters Degrees (Brain Computer)

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Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans. Read more
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.
On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.
On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.

See the website http://www.ru.nl/masters/ai/computation

Why study Computation in Neural and Artificial Systems at Radboud University?
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.

Some examples of possible thesis subjects:
- Deep learning
Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.

- Brain Computer Interfacing
Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:
- PhD researcher on bio-inspired computing
- PhD researcher on neural decoding
- PhD researcher on neural information processing
- Machine learning expert in a software company
- Company founder for brain-based computer games
- Hospital-based designer of assistive technology for patients
- Policy advisor on new developments in neurotechnology
- Software developer for analysis and online visual displays of brain activity

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.

See the website http://www.ru.nl/masters/ai/computation

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Over the last two decades there has been an explosion of interest in brain science across academia, industry and the media. Read more
Over the last two decades there has been an explosion of interest in brain science across academia, industry and the media. The integration of cognitive brain imaging with neuroscience will play a central part in discovering how the brain functions in health and disease in the 21st century, as illustrated by the Human Brain Project in Europe and The Brain Initiative in the USA. The taught Brain Sciences Degree will help you gain interdisciplinary knowledge “from molecules to mind” and enable you to develop research skills in cognitive brain imaging, fundamental neuroscience and brain disorders.

Why this programme

◾You will study the Brain Science Degree in an Institute that strives to understand the brain at multiple levels of function, from cells to cognition using approaches ranging from molecular, cellular and systems level investigations to brain imaging o
◾Lectures will be given by staff who are international research leaders and who publish cutting edge research at the forefront of brain sciences.
◾You will attend seminars on a wide range of topics given by eminent external speakers visiting the Institute from around the world as part of our Current Research Topics course.
◾You will carry out a research project working in labs equipped with technology and expertise at the forefront of brain science research, including: ◾3 Tesla fMRI system to image human brain function
◾Magnetoencephalography and electroencephalography to study neural activity
◾Transcranial magnetic stimulation for non-invasive brain stimulation
◾7 Tesla experimental MRI scanner for studying models of disease
◾Confocal microscopy for high resolution cellular imaging
◾Models of disease for pharmcolgical, gene and stem cell therapies

◾You will receive in depth training in research design and statistical analysis
◾The brain science programme allows student choice and flexibility. Through your choice of optional taught courses you can develop in-depth specialist knowledge to enhance further academic research as well as transferable skills for a career outside academia.
◾You will join a vibrant community of masters students from other programmes and for your research project you will be based in laboratories alongside PhD students, postdocs and senior researchers.
◾Through the range of teaching methods and assessments used you will gain skills in critical appraisal, independent working, presentations, writing scientific documents and time management.

Programme structure

The programme will consist of compulsory taught courses, selected optional courses and a research project spread over 11-12 months.

Core courses and Research Project

◾Fundamentals for neuroscience research
◾Cognitive brain imaging
◾Statistics and research design
◾Current research topics in brain sciences
◾Neuroscience: animal models of disease and function
◾Designing a research project
◾Brain sciences research project

Optional courses

◾Introduction to Matlab for biologists
◾Neuroscience: in vivo models
◾In vitro and analytical approaches in neuroscience
◾Bioimaging for life sciences
◾Current trends and challenges in biomedical research and health
◾Technology transfer and commercialisation of biomedical research
◾Neuroinflammation

Teaching and Learning Methods

Taught courses are delivered by lectures, tutorials, problem-based learning and computer-based sessions supplemented by a wide range of electronic resources for independent or group study. You will use the primary scientific literature as an information resource and through project work will develop skills in team-working, experimental design and data interpretation. Through assessment of coursework you will gain skills in oral and written communication.

Career prospects

The University of Glasgow MSc in Brain Sciences provides you with many career opportunities.

Research: MSc students can enter a research career, mainly by undertaking further postgraduate research studies towards a PhD, or by working in research laboratories in academic settings.

Industry: Other options include going on to work in a wide range of commercial sectors including the pharmaceutical or biotechnological industries and scientific publishing.

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Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Read more
Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Computer engineering encompasses the principles, methods, and modern tools for the design and implementation of computing systems.

Our MSc Computer Engineering is the first in the UK and provides a balanced perspective of both hardware and software elements of computing systems, and their relative design trade-offs and applications. It will build on your knowledge in mathematics, science, and engineering to ensure you have a sound foundation in the areas needed for a career in this field.

Laboratory experiences enable you to understand experimental design and simulation techniques. We are internationally leading in this and you will have access to unique computer engineering platforms including our:
-Intelligent Flat (iSpace)
-Robotics Arena
-Networked intelligent campus (iCampus)
-Advanced networking and multimedia labs

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.

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

Upon graduation, you can look for employment in:
-Heavy industries, designing advanced computer systems and control
-Hardware companies, designing and developing microprocessors, personal computers, and supercomputers
-Communication and mobile phone companies, designing advanced computer systems for communications systems
-Large computer and microelectronics companies, writing software and firmware for embedded microcontrollers, and designing VLSI chips, analog sensors, mixed signal circuit boards, and operating systems
-Embedded system companies, developing advanced computer systems, and mobile applications and phones
-Banks and businesses, designing intelligent distributed systems to serve their operations
-Computer games companies, designing advanced computer games
-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) and within our University.

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
-Converged Networks and Services
-Digital Signal Processing
-High Level Logic Design
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Advanced Embedded Systems Design (optional)
-Artificial Neural Networks (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Electronic System Design & Integration (optional)
-Intelligent Systems and Robotics (optional)
-Mobile Communications (optional)

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This programme involves studying the interaction between and within groups of neurons in the brain, and how they affect our interactions with the outside world. Read more
This programme involves studying the interaction between and within groups of neurons in the brain, and how they affect our interactions with the outside world.

The brain is no longer considered a passive response device but rather as a network in which we consider ongoing activity before, during, and after a stimulus. The specialisation Brain Networks and Neuronal Communication deals with brain networks; ranging from the smallest scale, the communication between individual neurons, to the largest scale, communication between different brain areas. Using advanced mathematical tools, this specialisation prepares students for cutting-edge neuroscience research.
Students interested in this specialisation are expected to already have a high level of mathematical skills and/or training in physics, engineering or computer science in their Bachelor’s studies.

A large majority of our graduates gain a PhD position, while other graduates find jobs in the commercial sector or at research institutes. Graduates of this specialisation may more readily find a position within a government institution or specialised companies (e.g. in the pharmaceutical industry).

See the website http://www.ru.nl/masters/cns/brain

Why study Brain Networks and Neuronal Communication at Radboud University?

- Researchers in Nijmegen combine new techniques for electrophysiological and anatomical measurements of connectivity and activation with data analysis and the experimental application of these techniques. This is done in studies of cognition in not just humans but also non-human primates and rodents.
- Exceptional students who choose this specialisation have the opportunity to do a double degree programme with either Neuroscience or Artificial Intelligence. This will take three instead of two years.
- This competitive programme provides a sound balance of theory and practice. Our selective approach guarantees excellence, especially during the research training period.

Career prospects

If you have successfully completed the Master’s programme in Brain networks and neuronal communication, you will be able to conduct independent neuroimaging and neurobiological research. You will have ample knowledge of the anatomical and neurophysiological aspects of networks in the human brain and the techniques for the computational analysis and modeling of brain networks. This will enable you to conduct independent research into the neurofunctional architecture of key cognitive functions, such as perception, attention, memory, language, planning and targeted actions and develop technologies to measure, characterise and model networks at the whole brain and/or the local cortical circuit level. With this educational background you should be able to find a position with one of the research institutes in the Netherlands or abroad, government institutions or specialised companies (e.g. in the pharmaceutical industry).

Our approach to this field

Research in the field of cognitive neuroscience is one of the spearheads in the research policy of Radboud University. Here, in Nijmegen, hundreds of scientists from various faculties and top institutes have joined forces to unravel the workings of the human brain, step by step . They work together closely, exchange expertise and share state-of-the-art research equipment.

Nijmegen is one of the foremost centres of cognitive neuroscience in the world. We have a high admission threshold to ensure that all of our students are highly motivated and have the ability to work at an advanced level. Top scientists screen all applications to make sure the new students meet our stringent entry criteria and can maintain the current standards of excellence. Once admitted to the programme, you can expect to be trained as a multidisciplinary scientist in the following two years. The research you will undertake addresses crossdisciplinary challenges. The teachers and supervisors you will meet are all experts in their own disciplines. We hope that with this programme, you will outperform your teachers by being able to combine knowledge from different domains. Alongside language processing and perceptuomotor systems, you may also help improve brain/computer interfaces, a hot topic with applications in medicine and information technology. Apart from being very exciting, it is also logical that various disciplines are merging. After all, everything that happens in the brain is interconnected. In Nijmegen we develop sophisticated cognitive models which we test by means of state-of-the-art imaging techniques, thanks to which you can participate in cutting-edge research that will hopefully lead to new insights into the way the human brain and mind work. Finally, we offer our best CNS students excellent career opportunities in challenging PhD projects.

- Unique multi-disciplinary Master’s programme
Are you also interested in the human brain? Would you like to conduct research into the workings of the brain and join an enthusiastic, international group of top researchers? The Radboud University offers a multi-faculty Master’s programme in Cognitive Neuroscience. The programme takes two years and is of a scientific orientation. There is a strong emphasis on experimental research. This Master’s programme is unique in Europe.
The Master’s programme in Cognitive Neuroscience is primarily focused on training you as a researcher because research institutes and businesses around the world desperately need highly qualified and motivated young researchers. Moreover, since cognitive neuroscience is a rather young discipline, much in this field has not yet been explored. There are many challenging questions that need to be answered. So there is plenty of room for new discoveries!

This competitive programme provides a sound balance of theory and practice. We enrol about 50 students per year. Our selective approach guarantees excellence, especially during the research training period.

See the website http://www.ru.nl/masters/cns/brain

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Develop expertise in contemporary design and practice within computer science. You graduate with the ability to explore further how technology influences people’s lives. Read more
Develop expertise in contemporary design and practice within computer science. You graduate with the ability to explore further how technology influences people’s lives.

Our MSc Advanced Computer Science provides you with the flexibility to master the areas of computing that interest and excite you most. You choose from a range of topics including:
-Intelligent systems and robotics
-Machine learning and data mining
-Human language understanding and text processing
-Computer game development
-Cloud and web technologies
-Computer security
-Evolutionary computation

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 brain-computer interfaces, human language understanding and technology, intelligent and adaptive systems, information and data analysis, robotics and embedded systems, to future networks, optoelectronics and radio frequency and signal processing foundations, with many 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, C++, Perl, MySQL, Matlab, 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 graduates have achieved success in a variety of professions. Many have pursued careers in computing and information technology, while others have gone on to work in research organisations or become university academics.

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.

MSc Advanced Computer Science
-MSc Project and Dissertation
-Professional Practice and Research Methodology
-Group Project
-Computer Security
-Intelligent Systems and Robotics (optional)
-Text Analytics (optional)
-Advanced Web Technologies (optional)
-Mobile & Social Application Programming
-Information Retrieval (optional)

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This course is for you if you need to improve your language skills and subject knowledge of computing before going on to a Masters course. Read more
This course is for you if you need to improve your language skills and subject knowledge of computing before going on to a Masters course. You improve your English language fluency and academic vocabulary, develop your academic skills, and gain experience of western methods of teaching and learning so that you can progress onto a relevant Masters course in our School of Computer Science and Electronic Engineering.

At Essex, you can progress onto our MSc Advanced Computer Science, MSc Advanced Web Engineering, MSc Artificial Intelligence, MSc Big Data and Text Analysis, MSc Cloud Computing, MSc Embedded Systems, or MSc Intelligent Systems and Robotics.

Our International Academy offers some of the best routes for international students to enter higher education in the UK. Our innovative courses and programmes have proved very successful with international students and have also attracted UK students because of the distinctive learning environment we offer.

If you are an international student, you may find that the education system in the UK is slightly different from other countries and, sometimes, that the transition to the British system can be challenging. Our courses help you to settle in and adapt to life in the UK.

Alongside improving your academic English skills, you also develop your knowledge and skills in computer programming. 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.

Our School of Computer Science and Electronic Engineering is 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).

Our expert staff

Our original Department of Computer Science was founded by Professor Tony Brooker, who came to Essex from Manchester where he had worked with Alan Turing. Professor Brooker invented the compiler-compiler, one of the earliest applications of a formal understanding of the nature of programming languages.

In recent years our School of Computer Science and Electronic Engineering has 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

By studying within our International Academy, you will have access to all of the facilities that the University of Essex has to offer:
-We provide computer labs for internet research; classrooms with access to PowerPoint facilities for student presentations; AV facilities for teaching and access to web-based learning materials
-Our new Student Services Hub will support you and provide information for all your needs as a student
-Our social space is stocked with hot magazines and newspapers, and provides an informal setting to meet with your lecturers, tutors and friends

You can also take advantage of our world-class computer science facilities:
-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.

Example structure

-English for Academic Purposes
-Programming in Python
-Advanced English for Academic Purposes
-Information Retrieval
-Critical Reading and Seminar Skills
-Extended English for Academic Purposes Project
-Computer Security (optional)
-Databases and Information Retrieval (optional)
-ICT Systems Integration and Management (optional)
-Operating Systems (optional)
-Web Application Programming (optional)

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Increasingly, computer networks cannot be considered without the important issue of security; without secure networks, businesses, commerce and communications would all fail. Read more
Increasingly, computer networks cannot be considered without the important issue of security; without secure networks, businesses, commerce and communications would all fail. This course addresses the need for modern computer network professionals.

You cover topics such as current and future internet protocols, programming networked services and securing these systems. We offer a strong practical element through laboratory programmes in software engineering and in computer networking; laboratory work in security includes unique environments where the techniques of the attackers can be observed and stopped using specialist security tools.

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.

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

Specialist staff researching computer networks include Professor Mohammed Ghanbari, Dr Nigel Newton, Professor Stuart Walker, and Professor Klaus McDonald-Maier.

More broadly, 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.

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.

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.

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

Graduates of our degree in this area have found work in a variety of networking roles and companies including, network management for companies, Internet service providers and developers for security products both in the UK and overseas.

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 Security
-IP Networking and Applications
-Networking Principles
-Networks Laboratory
-Professional Practice and Research Methodology
-Programming in Python
-Cloud Technologies and Systems (optional)
-Data Science and Decision Making (optional)
-Converged Networks and Services (optional)
-Creating and Growing a New Business Venture (optional)
-Mobile Communications (optional)
-Advanced Transport Networks (optional)
-Network Security and Cryptographic Principles (optional)

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Computer games are expected to reach a global revenue of $111bn in 2015; yet over half of the UK’s video games employers reported a lack of suitably-skilled graduates in 2011. Read more
Computer games are expected to reach a global revenue of $111bn in 2015; yet over half of the UK’s video games employers reported a lack of suitably-skilled graduates in 2011. Both for entertainment and for more serious purposes such as virtual reality training, computer games, gamification and games intelligences are increasingly important in today’s world. This is your opportunity to turn your passion into a career.

At Essex we specialise in virtual worlds, machine learning, artificial intelligence and high-level games design and development. On our course, you develop both theoretical and practical knowledge of computer games. Our flexible approach allows you to fill gaps in your knowledge and brush up on a variety of languages, making sure you’re ready to bring your designs to life.

You explore topics including:
-Game design
-Game AI
-3D games development
-Mobile app programming
-Physics-based games

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).

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

The University of Essex was the birthplace of the ‘virtual world’. Multi-User Dungeons (MUD) – multi-player, real-time virtual worlds – were created by our students, including Richard Bartle, who still teaches Computer Games here today. Richard was also included in Geek.com’s list of the most influential game developers of all time.

Our research staff also include Professor Victor Callaghan, who researches immersive reality, creative science and education technology; Dr Michael Gardner, who researches virtual reality systems and mixed-reality environments; and Dr Adrian Clark, who works on computer graphics and augmented reality.

More broadly, 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.

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.
-Essex is one of three co-founding universities of the new Centre for Doctoral Training in Intelligent Games and Game Intelligence
-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, C++, Perl, MySQL, Matlab, 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

Graduates of our School go on to work for giants in the field such as Intel and Panasonic, but the corporate route isn’t for everyone. Some of the most exciting and innovative work in the field is being developed by small start-up companies. Our optional business module focuses on developing your entrepreneurial spirit, teaching you how to apply your technical and creative skills to your own venture.

Our recent graduates have progressed to a variety of senior positions in industry and academia.

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

-Game Design
-Game Artificial Intelligence
-Physics-Based Games
-Mobile & Social Application Programming
-MSc Project and Dissertation
-Professional Practice and Research Methodology
-Group Project (Incorporating a Game Jam)
-Programming in Python (optional)
-Intelligent Systems and Robotics (optional)
-Machine Learning and Data Mining (optional)
-Text Analytics (optional)
-Virtual Worlds (optional)
-High-Level Games Development (optional)
-Natural Language Engineering (optional)
-Creating and Growing a New Business Venture (optional)

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The fields of graphics, vision and imaging increasingly rely on one another. Read more
The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.

Degree information

Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).

Core modules
-Mathematical Methods, Algorithmics and Implementation
-Image Processing
-Computer Graphics
-Research Methods

Optional modules
-Machine Vision
-Graphical Models
-Virtual Environments
-Geometry of Images
-Advanced Modelling, Rendering and Animation
-Inverse Problems in Imaging
-Computation Modelling for Biomedical Imaging
-Computational Photography and Capture
-Acquisition and Processing of 3D Geometry

Dissertation/report
All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.

Teaching and learning
The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.

Careers

Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at MIT, Princeton University, and Eth Zurich.

Top career destinations for this degree:
-Senior Post-Doctoral Research Associate, University of Oxford
-Software Engineer, Sengtian Software
-Graduate Software Engineer, ARM
-IT Officer, Nalys
-MSc in Computer Games and Entertainment, Goldsmiths, University of London

Employability
UCL Computer Science was one of the top-rated departments in the country, according to the UK Government's most recent research assessment exercise, and our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.

Why study this degree at UCL?

UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.

Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).

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This MRes is an innovative research-led programme which brings together expertise from across the Faculty of Brain Sciences and offers you the opportunity to work and train with leading researchers at one of the most highly regarded centres of excellence in brain science in the world. Read more
This MRes is an innovative research-led programme which brings together expertise from across the Faculty of Brain Sciences and offers you the opportunity to work and train with leading researchers at one of the most highly regarded centres of excellence in brain science in the world.

Degree information

Students will gain an understanding of the human brain and its disorders from the molecular to systems level that will reflect the interdisciplinary breadth of cutting-edge research in brain sciences conducted at UCL. Students will gain theoretical and practical knowledge of core personal and professional skills that underpin excellence in research.

Students undertake modules to the value of 180 credits.

The programme consists of three core modules (45 credits), one optional module (15 credits) and an extensive empirical research project (120 credits).

Core modules
-Research Methods I
-Research Methods II
-Contemporary Topics in Brain Sciences Research

Optional modules - students choose one of the following 15-credit optional modules:
-Cellular and Molecular Mechanisms of Disease
-Introduction to the Brain and Imaging the Brain
-Structure and Measurement of the Human Brain
-Introduction to Cognitive Science
-Principles of Cognition
-Molecular Pharmacology
-Developmental Neurobiology
-Receptors and Synaptic Signalling

Dissertation/research project
All students undertake an independent research project which culminates in a dissertation in the form of a journal article and an oral examination.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, independent study, journal clubs, independent and collaborative problem-based tasks, practical demonstrations and classes, computational work, and a supervised empirical research project. Assessment is through online tasks, unseen written examinations, essays, oral presentations, research-based tasks and a primary research article.

Careers

This programme will prepare students for research careers in academia, industry or business, nationally or internationally. The first cohort of students on the Brain Sciences MRes will graduate after 2014, therefore no information on graduate destinations is currently available.

Employability
The programme provides a broad understanding of brain sciences. The aim is to give students the best chance of obtaining a place on a relevant PhD programme. In addition the programme includes taught elements that will enhance employability. Transferable skills include statistical training, communication skills, training in research ethics, research governance and in enterprise.

Why study this degree at UCL?

This comprehensive programme will provide core knowledge and skills, and ensure that prospective PhD candidates are thoroughly acquainted with the background as well as with the expanding scope of the field.

The unique curriculum will develop knowledge and insight into the broad and interdisciplinary scope of brain science through practical experience and exposure to contemporary topics in brain sciences research delivered through a series of innovative masterclasses led by internationally renowned researchers at UCL.

With an empirical research project encompassing two-thirds of the programme, quantitative and qualitative tools for research will be developed including core skills in the implementation, management and dissemination of research.

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Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. Read more
Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

Key features
-The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study?

The Embedded Systems (Computer Vision) pathway will equip you with the knowledge and skills required to specify and build computer vision embedded systems, choosing from different imaging devices and applying software that can process and understand images. You will study a range of option modules encompassing computing, engineering and digital media processing. It may also be possible for you to undertake a real-world project in an industrial placement or as part of high-quality research working alongside DIRC (Digital Imaging Research Centre) groups (eg visual surveillance, human body motion analysis, robotics, medical imaging).

The Embedded Systems (Computer Vision) MSc course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

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

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

Details on how to apply will be confirmed shortly.

Course structure

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

Embedded Systems (Computer Vision) MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Project Dissertation
-One option module

Embedded Systems (Computer Vision) with Management Studies MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Business in Practice
-Project Dissertation

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Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. Read more
Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

Key features
-The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study?

The Embedded Systems (Computer Vision) pathway will equip you with the knowledge and skills required to specify and build computer vision embedded systems, choosing from different imaging devices and applying software that can process and understand images. You will study a range of option modules encompassing computing, engineering and digital media processing. It may also be possible for you to undertake a real-world project in an industrial placement or as part of high-quality research working alongside DIRC (Digital Imaging Research Centre) groups (eg visual surveillance, human body motion analysis, robotics, medical imaging).
The Embedded Systems (Computer Vision) MSc course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

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

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

Details on how to apply will be confirmed shortly.

Course structure

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

Embedded Systems (Computer Vision) MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Project Dissertation
-One option module

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The Computer Animation Master’s programme at Kent is oriented towards current industrial needs, technology and practice. It is designed to be a direct route into this high-profile, modern and creative industry, and has been developed jointly by the School and our industrial partner Framestore CFC. Read more
The Computer Animation Master’s programme at Kent is oriented towards current industrial needs, technology and practice. It is designed to be a direct route into this high-profile, modern and creative industry, and has been developed jointly by the School and our industrial partner Framestore CFC.

Develop your knowledge and understanding of the animation process, software tools, techniques and packages, and the technical aspects of working in a professional animation environment. The MSc programme offers invaluable experience of working to professional briefs and under expert supervision of professional animators to prepare you for a career in industry.

Competition is fierce in animation and visual effects and success depends on your concentration levels, constant practise and ability to grasp the essence and modern techniques of animation. Successful former students are now working in animation and animation layout roles for companies such as Sony Games and Framestore CFC on major titles in games, television and film.

Visit the website https://www.kent.ac.uk/courses/postgraduate/248/computer-animation

About the School of Engineering and Digital Arts

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting field of digital media. The School, which was established over 40 years ago, has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

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

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

Course structure

This intensively taught postgraduate course lasts a full year. It takes place in a dedicated computer laboratory where you have your own seat and computer for the duration of the course. The course lectures and workshops, whether led by visiting professionals or staff, are all held in this room. Demonstrations and showing of films are by means of an HD projector. By the end of the year, the lab will be where you live as much as your accommodation.

Modules

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

EL831 - Digital Visual Art set-up (15 credits)
EL832 - Animation Principles (15 credits)
EL833 - Visual Training (15 credits)
EL837 - Professional Group Work (15 credits)
EL863 - Advanced 3D Modelling (15 credits)
EL864 - Pre-Visualisation (15 credits)
EL865 - Action in Animation (15 credits)
EL866 - Acting in Animation (15 credits)
EL830 - Computer Animation Project (60 credits)

Assessment

Each module is assessed by practical assignments. The project work is assessed on the outcome of the project itself.

Programme aims

This programme aims to:

- enable you to develop your knowledge and understanding within the field of 3D computer animation, which will equip you to become a professional in the animation and visual effects industry

- produce professionally-trained animators who are highly skilled in using state-of-the-art 3D animation software for producing animated films

- provide you with proper academic guidance and welfare support

- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential

- strengthen and expand opportunities for industrial collaboration with the School of Engineering and Digital Arts.

Research areas

- Intelligent Interactions

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

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

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

Careers

We have developed the programme with a number of industrial organisations, which means that successful students will be in a strong position to build a long-term career in this important discipline.

The School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/) has an excellent record of student employability (http://www.eda.kent.ac.uk/school/employability.aspx). We are committed to enhancing the employability of all our students, to equip you with the skills and knowledge to succeed in a competitive, fast-moving, knowledge-based economy.

Graduates who can show that they have developed transferable skills and valuable experience are better prepared to start their careers and are more attractive to potential employers.

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

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Over the last decades, improvements in technology have led to a rapid increase in the use of neuroimaging to study human brain function non-invasively in health and disease. Read more
Over the last decades, improvements in technology have led to a rapid increase in the use of neuroimaging to study human brain function non-invasively in health and disease. In particular, functional magnetic resonance imaging (fMRI), electro-encephalography (EEG), magneto-encephalography (MEG) and transcranial magnetic stimulation (TMS) are now routinely used by neuroscientists to study brain-behaviour relationships. Our MSc in Brain Imaging showcases Nottingham’s multi-disciplinary environment and offers a comprehensive programme that will provide you with the theoretical knowledge and practical skills required to conduct high-quality neuroimaging work and neuroscience research. Translational in vivo neuroscience approaches in animal models will also be considered, and interested students will have the opportunity to receive research training in this area.

The MSc in Brain Imaging has a flexible course structure and offers four pathways with core modules alongside a choice of optional modules that permits tailor-made study. The options are:

MSc Brain Imaging (Cognitive Neuroscience)
MSc Brain Imaging (Neuropsychology)
MSc Brain Imaging (Integrative Neuroscience)
MSc Brain Imaging (Developmental Science)

Graduating from the University of Nottingham opens up a wide range of career options. Many of our students use this programme as a preparation for PhD study or other advanced degree positions. Others opt for science-related jobs. Our graduates are highly regarded by employers in private and public sector organisations because of the solid academic foundation and transferable skills they gain during their degree course such as analytical evaluation, data management, statistical analysis as well as presentation and writing skills. In the past, graduates of this programme have taken-up career opportunities in university, hospital and industry settings.

Please email for more information or visit the PG prospectus. Given the breadth of training available, the MSc is recommended to students with a background in psychology, neuroscience or a bioscience discipline as well as those with training in physics, engineering, mathematics, or computer sciences.

Upcoming Open Days: Wednesday 29 June and Wednesday 6 July (1.30-3 pm). Please contact us if you have specific questions about the programme. Phone: +44 (0)115 951 5361 or email:

Key facts

• Programme delivered through lectures, practicals and research project resulting in a dissertation
• Core and optional modules according to specific pathways
• Four pathways with applications in Cognitive Neuroscience, Developmental Science, Neuropsychology, and Integrative Neuroscience
• Taught by active and internationally renowned research scientists
• Interdisciplinary approach with specialist lectures and/or project supervision by scientists from: the School of Psychology; Sir Peter Mansfield Magnetic Resonance Centre; Department of Academic Radiology

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Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Read more
Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.

The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area.

We give you hands-on experience with various types of large-scale data and information handling, and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:
-Mobile and social application programming
-Human-computer interaction
-Computer vision
-Computer networking
-Computer security

You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information, and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.

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 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

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 staff are driven by creativity and imagination as well as technical excellence. We are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist staff working on data analytics include:
-Dr Luca Citi – machine learning, learning from biological signals and data (EEG, etc)
-Dr Adrian Clark – automatic construction of vision systems using machine learning and evaluation of algorithms, data visualisation and augmented reality
-Professor Maria Fasli – analysis of structured/unstructured data, machine learning, adaptation, semantic information extraction, ontologies, data exploration, recommendation technologies
-Professor John Gan – machine learning for data modelling and analysis, dimensionality reduction and feature selection in high-dimensional data space
-Dr Udo Kruschwitz – natural language processing, analysis textual/unstructured data, information retrieval
-Professor Massimo Poesio – cognitive science of language, text mining, computational linguistics
-Professor Edward Tsang – applied AI, constraint satisfaction, computational finance and economics, agent-based simulations

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

Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data.

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.

Big Data and Text Analytics - MSc
-MSc Project and Dissertation
-Information Retrieval
-Cloud Technologies and Systems (optional)
-Group Project
-High Performance Computing
-Machine Learning and Data Mining
-Natural Language Engineering
-Professional Practice and Research Methodology
-Text Analytics
-Advanced Web Technologies (optional)
-Data Science and Decision Making (optional)
-Big-Data for Computational Finance (optional)
-Computer Security (optional)
-Computer Vision (optional)
-Creating and Growing a New Business Venture (optional)
-Mobile & Social Application Programming (optional)

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