The scientific goal of the Centre of Cognitive and Neural Systems (CCNS) is to understand information processing by the central and peripheral nervous systems, at several different levels of analysis, from cognitive psychology through cognitive neuroscience and brain imaging, behavioural neuroscience and neuropharmacology, and extending to theoretical models of neuronal networks.
Members of the CCNS are divided into different research groups with a focus on:
Although the CCNS is hosted by the School of Biomedical Sciences, its membership is drawn from several different Schools across all three Colleges.
During their studies, postgraduate students are assigned a personal thesis committee, which monitors progress.
Students attend seminars and the generic skills training programme provided by the Life Sciences Graduate Programme.
Postgraduates can often act as demonstrators for undergraduate teaching.
Students are strongly encouraged to present their findings at national and international conferences and to publish their findings in international journals during their postgraduate training.
The CCNS is based at the Central Campus, and has excellent facilities for cognitive and systems neuroscience, including human cognitive neuroscience and functional MRI facilities, rodent surgical facilities, testing rooms for water mazes, event arenas, single unit recording in freely moving rodents, in vivo and in vitro (slice) electrophysiological recording, histology, confocal microscopy and wet-lab facilities.
We also offer expertise and facilities for functional imaging in animals and excellent genetic models of CNS diseases. Molecular and cellular analysis of cell death and plasticity underpin in vivo investigating.
Cognitive Science is a discipline in growing demand, and Edinburgh is a widely recognised leader in this area, with particular strengths in natural language, speech technology, robotics and learning, neural computation and philosophy of the mind.
You will gain a thorough grounding in neural computation, formal logic, computational and theoretical linguistics, cognitive psychology and natural language processing, and through a vast range of optional courses you will develop your own interests in this fascinating field.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
You will choose a ‘specialist area’ within the programme, which will determine the choice of your optional courses. The specialist areas are:
There are several optional courses to choose from, such as:
This programme will give you a deep understanding of the expanding domain of cognitive science through formal study and experiments. It is perfect preparation for a rewarding academic or professional career. The quality and reputation of the University, the School of Informatics and this programme will enhance your standing with many types of employer.
Understanding the relationship between brain, cognition and behaviour is one of the main challenges the scientific community is currently facing. Which neural processes underlie “free” decisions, the formation of new memories, the emergence of conscious experience? Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research.
This Masters programme will foster a new generation of scientists who will be trained in both neurocomputational modelling as well as cognitive neuroscience. Its core topics include theory and practice of biologically constrained models of neurons, cortical circuits, and higher cognitive functions (memory, decision making, language), and fundamentals of cognitive neuroscience (brain mechanisms and structures underlying cognition and behaviour, as well as modern neuroimaging and data analysis techniques). The programme is suitable for students from a variety of disciplines (including psychology, computing, neuroscience, engineering, biology, maths, physics, or related subjects), and students with no prior programming experience are welcome. Thanks to the highly multidisciplinary and cutting-edge nature of the programme, graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.
You will study the following modules:
1. Research Project which will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.
In Term 1, students will have to choose one amongst the following 4 options (each 15 CATS, level 7):
- Neural Networks (IS57002A)
- Machine Learning (IS71071A)
- Natural Computing (IS71072A)
- Data and Machine Learning for Artistic Practice (IS71074A)
Please note that the new modules may change subject to approval
Please note that due to staff research commitments not all of these modules may be available every year.
The MRes in Bioengineering prepares students for research careers in Bioengineering, equipping them to analyse and solve problems using an integrated, multidisciplinary approach. Graduates of the programme will be able to pursue careers at the interface between the physical, biological and medical sciences in academia, industry, the public sector and non-governmental organisations. The programme provides a solid foundation for those who intend to go on to study for a PhD.
The programme includes lectures, workshops, seminars, practical work and a period of full-time work on a significant research project. The course will prepare students to analyse and solve problems in bioengineering using an integrated, multidisciplinary approach.
The programme consists of a taught element (25%) and research element (75%). Core modules of the taught element include Computational methods for bioengineering, Statistics and data analysis, the MRes Journal Club, a minimum of 2 electives, and Research seminar. The Electives of the taught element include for example Biomechanics, Computational neuroscience, Biomaterials, Machine learning and neural computation, Image processing and Brain-machine interfaces.
The research element includes the literature review plan, a poster presentation, the individual MRes thesis report and an oral examination.
About the Department
The Department of Bioengineering at Imperial College London is leading the bioengineering agenda both nationally and internationally, advancing the frontiers of our knowledge in the discipline’s three main areas: — Biomedical Engineering: Developing devices, techniques and interventions for human health. — Biological Engineering: Solving problems related to the life sciences and their applications for health. — Biomimetics: Using the structures and functions of living organisms as models for the design and engineering of materials and machines.
In the most recent Research Excellence Framework (2014), 95% of the Department’s returned research was judged either ‘world-leading’ or ‘internationally excellent’, confirming our position as the leading Department in the UK. We’re committed to building on this success, expanding both our basic and applied bioengineering research, and providing excellent training through our popular undergraduate, Masters and PhD programmes.
As befits a new and growing discipline, the Department’s staff come from diverse academic disciplines including all main branches of engineering, physical sciences, life sciences and medicine, creating a rich collaborative environment. The interaction of our staff, along with colleagues across the institution, ensures our research benefits from both engineering rigour and clinical relevance.
We focus on six core themes: — Biomechanics and Mechanobiology — Molecular and Cellular Bioengineering — Detection, Devices and Design — Implants and Regenerative Medicine — Human and Biological Robotics — Neural Engineering. These areas are connected and fluid, with staff and students working across more than one area, and often at the interfaces.
How to Apply
Application deadline for entry 2018 entry is 31 July 2018; for Applicants who are likely to need a visa to study in the UK, the deadline is 30 June 2018. However, the programme is very popular which means it can be closed earlier when full, so you should apply early to avoid disappointment. There may also be funding deadlines that apply to you.
Once you’ve found a suitable project and supervisor, you should then please apply via Imperial College’s online application system:
a. Please include a brief project proposal in your personal statement to confirm that your application is being made to a research area, stating supervisor choice and motivation.
b. We require two academic references.
c. Your application will be reviewed by the proposed supervisor and MRes Bioengineering Programme Director initially. Applicants are interviewed by two members of academic staff where there is potential of finding a suitable project and supervisor.
d. If your interview is successful and a suitable project and supervisor can be confirmed, applicants usually will be offered a conditional place, subject to meeting Imperial College entry requirements and obtaining appropriate funding for the duration of the studies.
Please note that it can take 2-3 months after the application was made until the applicants can be informed about the outcome of the application.
If you are a Home or EU student who meets certain criteria, you may be able to apply for a Postgraduate Master’s Loan of up to £10,280 from the UK government. The loan is not means-tested, and you can choose whether to put it towards your tuition fees or living costs.
Imperial College offer a range of (competitive) scholarships for postgraduate students to support them through their studies. Please visit the scholarships search tool to see what you might be eligible for. There are also a number of external organisations also offer awards for Imperial students, find out more about non-Imperial scholarships.
We look forward to receiving your application!