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.
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.
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.
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
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
Gain both theoretical and applied knowledge of clinical cognitive neuroscience. Cognitive neuroscience combines techniques and skills including psychometric testing, electroencephalography (EEG), eye tracking and imaging techniques – for application to neuropathological and healthy groups in clinical, academic or biomedical settings. Various neurobiological mechanisms of cognitive and perceptual functions with demonstration of practical recordings, as well as psychology experimental software are taught on the course.
This course is ideal if you
The course gives you the knowledge and skills to evaluate cognitive and brain function and dysfunction in healthy and neuropathological groups. You learn to understand the important ethical issues involved in neuroscientific research targeted at various age groups and people with range of cognitive abilities, as well as developmental disorders.
You have an opportunity to learn psychophysiological recording techniques, including electrocardiogram (ECG), Skin Conductance (SC), performance speed and accuracy, as well as perceptual mechanisms using Eprime, Martlab and other specialist software.
We also build your research skills enabling you to work as an independent researcher in this area. You have the opportunity to attend workshops run by experts from relevant professions and fields of work. Examples include private clinical consultants, NHS neuropsychologist, teaching staff from the Doctorate in Clinical Psychology course at the University of Sheffield and alumni from our course working in academia and the private sector.
Our specialist learning resources include psychometric measures for assessing cognitive function and 3D model brains for understanding neuroanatomy. You learn to use specialist equipment including • EEG • transcranial magnetic stimulation • analysis of Biopack • structural magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) data • visuo-psychophysics equipment.
Some lectures are taught by guest tutors including clinical psychologists and neuroimaging experts.
You are automatically affiliated with our Brain, Behaviour and Cognition Research Group, which
International students are most welcome on this course. At Sheffield Hallam University we provide international students with a wealth of support, from pre-arrival right up to, and including, study support while you are studying here. Please see the International Experience Team webpage for more information.
Full-time – one year
Part-time – typically one day per week for two years
This course gives you the skills to work in both academic and clinical settings with healthy population and diverse neuropathological groups.
Graduates have the skills and knowledge to work in roles involved in assessing and evaluating cognitive function and dysfunction in healthy ageing across the lifespan and patient groups including people with Parkinson’s disease, head injury, dementia, and other neuropathological conditions.
During the course you benefit from employability sessions, where our alumni currently working in academia or industry, clinical psychologists and professionals from private research companies discuss possible career choices.
You may find roles in academic and clinical contexts using methods of neuroscience such as • functional magnetic resonance imaging (fMRI) • structural magnetic resonance imaging (MRI) • electroencephalogram (EEG) • transcranial magnetic stimulation • eye tracking techniques • visual psychophysics.
You can also complete further cognitive neuroscience postgraduate academic work.
The program is offered in English and leads to the Master degree in Cognitive Science. Students choose between two tracks:
Each track offers a selection of specialized courses, to allow students to tailor their training to their academic interests. The curriculum includes courses focusing on neurophysiological aspects of cognitive processes, the study of human behavior, and human-computer interaction.
Two characteristic features of this program are a close relationship between teaching and research practices & a constant interplay between biology-based and technology-based explorations of the human mind and brain.
The programme provides research-focused training with a varied, international group of faculty and researchers. All students are actively involved in developing research projects and have access to the laboratories during the Master’s course, thus gaining invaluable hands-on experience with cutting-edge research technologies. This includes functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), magnetic encephalography (MEG), transcranial direct current stimulation (tDCS), electroencephalography (EEG), eye tracking, cinematic motion tracking, psychophysics, computational modeling, & comparative cognition (animal models) for the CN track; and for the LMI track, machine learning technologies, like deep learning and multitask learning, will be applied to language understanding in interaction with other modalities.
The knowledge and skills gained during the Master’s course will most of all provide a foundation for advanced scientific research, but also prepare for professional applications in more applied settings.
The Master’s degree course in Cognitive Science is aimed at the acquisition of advanced theoretical and methodological knowledge in cognitive science through an interdisciplinary approach to the study of the mind-brain system and of human language through computational models. The perspective adopted is that of the interdisciplinary approach, which integrates the biological, technological and cognitive approaches in order to allow a better understanding of human action, focusing the educational intervention and other educational activities mainly on cognitive neuropsychology and on computational linguistics.
The curriculum is characterized by training experiences and significant research activities at highly qualified laboratories, both in the field of brain-imaging (fMRI, EEG, TMS, etc.) and in the field of natural language processing, also in order to achieve the implementation of the skills acquired. We also offer students the opportunity to attend training courses abroad as part of international exchange programmes and of numerous collaborations with foreign universities. The assessment of the competences acquired will take into consideration both the theoretical knowledge and the practical skills acquired by students, also in the context of integrated courses across multiple disciplines.
Graduates will be able to apply advanced skills in cognitive science using computational, observational and experimental methodologies in the study of the mind-brain system and computational linguistics. The course of study will also allow students to conduct research activities as part of the analysis and development of systems related to human cognitive performance, conducting empirical research and the development of neural and computational models of cognition. They can perform these tasks as independent professionals or also as consultants at public and private entities.
The Master's degree in Cognitive Science provides access to doctoral courses in the disciplines of cognitive science, both in Italy and in Europe and the United States. The CIMeC offers a PhD program in Cognitive and Brain Sciences.
Please note that all modules are subject to change. Please see our modules disclaimer for more information.
All of our MSc programmes are research intensive, providing essential training in analytical ability, methods awareness and critical thinking, among other fundamental transferable skills.
The MSc Cognitive Neuroscience is designed to train you for further research and study, ideally for a doctoral programme in psychology, neuroscience, clinical psychology, or a related field. Our students regularly move on to PhD positions, applied and clinical psychology posts in the NHS and private sector, as well as research-based positions in industry.
Studying the cognitive and neural basis for diverse brain functions such as perception, action, language, attention and memory.
Thanks to advanced brain-imaging techniques, scientists are now able to observe the human brain in action. Cognitive neuroscientists therefore no longer have to rely solely on patients with brain damage to ascertain which parts of the brains are involved in which tasks and functions. They can now conduct targeted experiments on healthy persons. As a result, the discipline has gained tremendous momentum over the past twenty years.
This research Master’s programme is open to students with Bachelor’s degrees in Linguistics, Physics, Biology, Medicine, Mathematics, Behavioural Sciences, Artificial Intelligence or a related discipline. It offers an in-depth theoretical background by internationally renowned scientists in the first year. The second year is dedicated to elaborate practical training in setting up, conducting and reporting research in cognitive neuroscience. A large majority of our graduates gain a PhD position, while other graduates find jobs in the commercial sector or at research institutes.
- This Master’s programme is located within the world-renowned Donders Institute for Brain, Cognition and Behaviour, located on the campus of the Radboud University, with a research staff of over 500 scientists.
- Nijmegen is one of the foremost centres of cognitive neuroscience in the world. Hundreds of scientists from various faculties and top institutes have joined forces on the Radboud University campus. Besides the Donders Institute there is the Radboud university medical centre and the Max Planck Institute for Psycholinguistics. Their researchers work together very closely, exchange expertise and share state-of-the-art research equipment to unravel the workings of the human brain.
- This competitive programme provides a sound balance of theory and practice. Our selective approach guarantees excellence, especially during the research training period.
- The Radboud University campus holds a large array of state-of-the-art equipment, like labs with fMRI, MEG, EEG and eye-tracking equipment. Master’s students are free to use these, enabling you to do any type of research in this field you’d want to.
- The programme has its own, student-driven, scientific journal; based on the Stanford Exchange: Proceeding of the Master’s Programme Cognitive Neuroscience.
The research Master’s programme offers four specialisations that coincide with the research themes of the Donders Institute:
- Language and Communication
Studies the acquisition, understanding and production of language, and their biological underpinning.
- Perception, Action and Control
Studies basic sensorimotor aspects as well as the cognitive, contextual and social components of perception-action coupling.
- Plasticity and Memory
Studies the mechanistic underpinnings and behavioural consequences of long-term changes in neural structure and function.
- Brain Networks and Neuronal Communication
Studies the interaction between and within groups of neurons, and with the outside world
We have deliberately created a high admission threshold to ensure that all our students are highly motivated and have the ability to work at an advanced level. All applications are screened individually to make sure the new students meet our stringent entry criteria and help maintain the current standards of excellence.
Once admitted to the programme, you can expect to be trained as a multidisciplinary scientist. We offer a multi-disciplinary programme that closely involves scientists from various faculties and research institutes on campus, who come from all over the world. Their research has gained national and international recognition for its high quality. In the Master’s programme you’ll attend lectures by these top scientists. They will also supervise your practical training and the writing of a Master’s thesis in the second year.
The research you’ll become a part of addresses cross-disciplinary challenges. Besides studying the basic topics of your specialisation, you may also choose to help improve brain-computer interfaces, a hot topic with applications in medicine and information technology. Apart from being very exciting, it’s also logical that various disciplines are merging.
A unique multi-disciplinary Master’s programme
Are you 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? Radboud University offers a multi-faculty Master’s programme in Cognitive Neuroscience. The programme takes two years and is of course of a scientific orientation. There is a strong emphasis on experimental research. After all, what counts is hands-on research experience. This Master’s programme is unique in Europe.
The Master’s programme in Cognitive Neuroscience is primarily focused on training you as a researcher and if possible, a top 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 enroll about 50 students per year. Our selective approach guarantees excellence, especially during the research training period.
This Master's programme will give you the qualifications you need to go on to get a PhD position. About 80-90% of our graduates take on a PhD project in Nijmegen or in other parts of the world. Others find jobs in the commercial sector or in research institutes.
Each year there are, on average, about 12 PhD positions available at the graduate schools Donders Graduate School for Cognitive Neuroscience (DGCN) and the International Max Planck Research School (IMPRS).
See the website http://www.ru.nl/masters/cns
This unique programme combines music psychology with neuroscience, focusing on both the biological and cognitive aspects of musical behaviour.
The MSc in Music, Mind and Brain (MMB) is highly interdisciplinary and draws on expertise from leading figures in the field, in areas ranging from music cognition, cognitive neuroscience, computational modelling, music education and music therapy.
As a student on the MSc, you will learn about topics in music psychology (from perception to cognition) and the cognitive neuroscience of music, and will acquire all the necessary skills to pursue your own high-quality research.
The Msc in Music, Mind and Brain was founded by Professor Lauren Stewart.
Current programme directors Dr Daniel Müllensiefen and Dr Maria Herrojo-Ruiz are joined by an expert teaching faculty, all of whom have international profiles within the fields of music psychology and/or the neuroscience of music.
Our Eminent Invited Speaker Series brings world-leading researchers to Goldsmiths to present their latest research to our students.
We offer a range of research projects, drawing on a variety of approaches: behavioural, computational, neuroscientific. Students are also invited to propose a project of their own choice, providing appropriate supervision can be offered.
If a student has a contact with an external supervisor, it may be possible to arrange for project supervision outside Goldsmiths with the involvement of a faculty member as co-supervisor. Examples of previous projects include:
Written examinations; written coursework (essays); oral presentations; research dissertation.
The programme will appeal to you if you are interested in pursuing doctoral research in this area or if you are already a music professional wishing to approach music scientifically.
Graduates from the Music, Mind and Brain programme have gone on to work in one of the following areas:
Other careers that would be informed by this programme include music therapy, neuro-rehabilitation, music consultancy and music and adverstising.
Find out more about employability at Goldsmiths.