This cutting-edge programme offers an exciting opportunity to study modern neuroscience with a focus on clinical implications. You will gain a strong foundation in understanding the mechanisms and treatments of neurological and neuropsychiatric diseases.
This course is designed for students from a range of backgrounds, who are interested in pursuing a career in neuroscience. You will develop a detailed understanding of modern theory and concepts relating to brain research and neuroscience and the application of these principles in the treatment of brain disorders. This course places emphasis on the clinical relevance of recent developments in neuroscience.
The development of your research methods skills is an integral part of the course. You will further your understanding of applied neuroscience with a research project which will develop your data handling and analysis skills, use of applied theory and statistics.
You will join the Health Sciences Research Centre whose academics are currently investigating a range of topical issues such as the addictive nature of new psychoactive substances, effects of stress on the brain regulatory systems and the mechanisms of brain cell death and repair using neural stem cells. You will be welcome to attend research seminars and discussions on topical developments in neuroscience and health sciences, led by experts.
MSc Clinical Neuroscience is recognised by the Federation of Neuroscience Societies (FENS) and included in the Network of European Neuroscience Schools (NENS), which is the highest accolade in European neuroscience teaching.
In this postgraduate programme, you will develop an integrated overview of contemporary neuroscience as a rapidly developing discipline with multiple links with molecular biology, genetics, pharmacology and medical sciences.
You will be introduced to a diverse range of topics and will have the chance to focus on areas that interest you. Examples of topics that you might cover include: clinical relevance of recent developments in neuroscience, brain imaging techniques and their applications in neurology and psychiatry, neurobiological mechanisms of human brain disorders, effects of nutrition and addiction on brain function, and research methods.
You will discuss ethical issues in clinical neuroscience and develop your ability to critically evaluate current developments in clinical brain research, which are relevant to healthcare.
This course can accommodate students from a range of backgrounds including new graduates from life sciences or psychology as well as health professionals who hold non-traditional qualifications. The programme options of PG Diploma or PG Certificate can be useful to health professionals who wish to refresh update theory knowledge without the commitment of conducting a research project (MSc). It is also suitable for applicants from the NHS, for example neuro-nurses or therapists.
Here are examples of the modules:
Health professionals, research careers in academia, NHS or private sector including the pharmaceutical industry. Alternatively, graduates may opt for further academic study at PhD level.
The MSc by Research in Integrative Neuroscience is a one-year, full-time research programme covering all levels of modern neuroscience, which makes it an ideal programme to prepare you for a PhD.
We include molecular, cellular, systems, regenerative, cognitive, clinical and computational neuroscience. We also allow you to choose your specialty right from the start, allowing you to shape your learning around your interests and career goals.
You start with a taught component in the first 12 weeks, and attend ‘themed weeks’ which run in parallel with elective courses.
Elective courses include:
The elective courses run during the first 12 weeks on two half days per week. These will give you a deeper insight into the concepts and methodology of a specific field of interest.
For your research you can choose available projects or contact principal investigators from more than 120 groups in the Edinburgh Neuroscience community to develop your own project, which can range from psychology to nanoscience.
You can decide to do two consecutive projects to gain a strong overview of research areas, or do a longer project to get a more in-depth laboratory experience in one field.
This programme is designed to help you in your research career. Over 90% of students on the MSc by Research in Integrative Neuroscience have positive next destinations, including PhD, research or clinical career paths.
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.
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.
This research-based course has a taught component that is the same as an MSc. It provides a springboard into a career that involves a working knowledge of scientific research.
The course is designed for graduates with a BSc in the life sciences or other science disciplines, and for intercalating and fully qualified MBBS or BDS students. It can be taken either as a stand-alone qualification or as an entry route onto a PhD or MD.
The taught component of the course includes subject-specific content in the area of systems biology. You have the flexibility to develop your own bespoke course by selecting additional, complementary modules. You will also participate in training in general research principles, and other professional and key skills.
Subject-based modules aim to develop a new generation of creative, innovative scientists and engineers, whose expertise spans the biological and physical domains. It introduces you to systems biology approaches that enable you to understand and manipulate complex biological systems, particularly the vulnerability of such systems to stress.
Your research project comprises the major element of the course. This project will involve 24 weeks of research in an area of systems biology under the supervision of an expert academic researcher in the field.
The course allows you to experience an internationally competitive research area, predominantly in academia but also potentially in industry.
Systems Biology MRes is closely linked to a suite of MRes courses that you may also be interested in:
Our Medical Sciences Graduate School is dedicated to providing you with information, support and advice throughout your research degree studies. We can help and advise you on a variety of queries relating to your studies, funding or welfare.
Our Research Student Development Programme supports and complements your research whilst developing your professional skills and confidence.
You will make an on-going assessment of your own development and training needs through personal development planning (PDP) in the ePortfolio system. Our organised external events and development programme have been mapped against the Vitae Researcher Development Framework to help you identify how best to meet your training and development needs.
Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets.
The robotics and autonomous systems area has been highlighted by the UK Government in 2013 as one of the eight Great Technologies that underpin the UK's Industrial Strategy for jobs and growth. Key application areas include manufacturing, assistive and medical robots, offshore energy, environmental monitoring, search and rescue, defence, and support for the ageing population.
The University of Edinburgh and Heriot-Watt University are jointly offering this innovative four-year PhD training programme, which combines a strong general grounding in current theory, methods and applications with flexibility for individualised study and a specialised PhD project.
Robotics and autonomous systems are increasingly studied beyond the range of classical engineering. Today robots represent one of the main areas of application of computer science and provide challenges for mathematics and natural science.
It is impossible to imagine transportation, warehousing, safety systems, space and marine exploration, prosthetics, and many other areas of industry, technology and science without robots. Robots are used in theoretical biology and the neurosciences as a model of behaviour.
Areas of interest specific to the center include: movement control, planning, decision making, bio- and neurorobotics, human-robot interaction, healthcare applications, robot soccer, neuroprosthetics, underwater robotics, bipedal walking, service robots, robotic co-workers, computer vision, speech processing, computer animation realistic simulations, and machine learning.
Many more topics can be found be exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:
Our four-year PhD programme combines Masters level coursework and project work with independent PhD-level research.
In the first year, you will undertake four or five masters level courses, spread throughout robotics, machine learning, computational neuroscience, computer architectures, statistics, optimization, sensorics, dynamics, mechanics, image processing, signal processing, modelling, animation, artificial intelligence, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take less courses and a larger project.)
At the end of the first year, successful students will be awarded an MSc by Research by the University of Edinburgh. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors. The PhD will be awarded jointly by the University of Edinburgh and the Heriot-Watt University.
You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.
Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.
Our user partners in industry include companies working in offshore energy, environmental monitoring, defence, assisted living, transport, advanced manufacturing and education. They will provide the real world context for research, as well as opportunities for reciprocal secondments, internships and involvement in our industrial engagement programme.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
You will have access to the outstanding facilities in the Edinburgh Robotarium, a national facility for research into robot interaction, supporting the research of more than 50 world-leading investigators from 17 cross-disciplinary research groups.
Research groups at the Edinburgh Robotarium include humanoid movement control, underwater, land and airborne autonomous vehicles, human robot interaction, bio- and neuro-robotics, and planning and decision making in multirobot scenarios.
In addition, our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.
Our aim is to produce innovation-ready graduates who are skilled in the principles of technical and commercial disruption and who understand how finance and organisation realise new products in start-up, SME and corporate situations.
We intend for our graduates to become leaders in the globally emerging market for autonomous and robotic systems that reduce risk, reduce cost, increase profit and protect the environment. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.
Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.