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Masters Degrees (Computational Neuroscience)
We have 36 Masters Degrees (Computational Neuroscience)
Computational Neuroscience is a branch of Neuroscience that uses mathematical models and computer simulations to understand how the brain works.
Postgraduates studying a Masters in Computational Neuroscience will gain an ability to use various computational methods to analyse and model neural data, as well as an understanding of how to interpret and use neural data to understand brain function.
You’ll discover how to use mathematical and computational methods to model and simulate neural systems, along with how to interpret data from neural recordings and brain imaging.
You’ll also learn how to communicate your findings to both scientific and non-scientific audiences.
The technical nature of these programmes mean that many such Masters will involve hands-on laboratory work as well as the use of state-of-the-art equipment.
In terms of entry requirements, you’ll usually need to have an undergraduate background in a related discipline, such as Psychology, Computer Science or Biology.
Why study a Masters in Computational Neuroscience?
This interdisciplinary field is constantly growing and evolving, as researchers strive to develop new and more efficient ways to model and simulate the brain. A Masters in Computational Neuroscience will provide students with the latest knowledge and techniques in this field, preparing them for a career in research or academia.
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Bioinformatics MSc
Queen Mary University of London
School of Biological & Behavioural Sciences
As biological sciences have become more data driven, bioinformatics is now central to modern biological research, from genetics, nutrition and epidemiology to ecology, neuroscience and biomedicine. Read more
MSc in Neurophysics
Radboud University
Science
Our brain contains many ingenious networks of billions of interconnected neurons. Together, they have an information processing capacity and flexibility that far exceeds modern supercomputers, or any artificial intelligent system. Read more
Master of Philosophy in Bioengineering
The Hong Kong University of Science and Technology
School of Engineering
The Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) Programs in Bioengineering facilitate the close integration of biological, physical, and computational sciences and engineering in the study of biological processes. Read more
Applied Statistical Modelling & Health Informatics MSc, PGCert, PGDip
King’s College London
Institute of Psychiatry, Psychology and Neuroscience
The Applied Statistical Modelling and Health Informatics course has been created to deliver a skill set and knowledge base in “multimodal” and “big data” analysis techniques, which are a recognised scarcity within UK Life sciences. Read more
Computational Neuroscience and Cognitive Robotics - MSc
University of Birmingham
School of Psychology
Our Computational Neuroscience and Cognitive Robotics MSc provides flexible interdisciplinary research and access to state-of-the-art equipment for brain imaging, electrophysiological recording, psychophysics, advanced data analysis, computational modelling and robotic systems. Read more
Computational Neuroscience, Cognition and AI MSc
University of Nottingham
School of Psychology
This unique interdisciplinary course combines aspects of psychology, mathematics and computer science. It uses artificial intelligence to further the understanding of the brain. Read more
Computational Neuroscience and Neuroinformatics - MSc
Newcastle University
School of Computing
This course provides specialist expertise in core neuroinformatics (such as computing and biology) focusing on the development of research skills. Read more
MSc Cognitive and Computational Neuroscience
University of Sheffield
Department of Psychology
Train in computer simulation and mathematical modelling techniques, as well as experimental cognitive psychology and brain imaging, and develop an understanding of the biological foundations of natural and artificial intelligence. Read more
Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology PhD, MPhil, MScR
University of Edinburgh
School of Informatics
The Institute for Adaptive and Neural Computation (ANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. Read more
Neuroscience (Integrative Neuroscience) MScR
University of Edinburgh
Edinburgh Medical School
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. Read more
MSc in Neural Computation and Neurotechnology
Radboud University
Behavioural and Social Sciences
The specialisation in Natural Computing and Neurotechnology studies the interaction between and within groups of neurons, and how they affect our interactions with the outside world. Read more
MSc Systems Neuroscience
University of Sheffield
Department of Psychology
Explore the interactions between neural structures, within neuronal networks and between brain areas, that lead to sensorimotor control and information processing, to understand how brain cells communicate and transform information to control the body. Read more
Cognitive Neuroimaging and Data Science - MSc
University of Birmingham
School of Psychology
The Cognitive Neuroimaging and Data Science MSc helps to provide fundamental insight into important theories in cognitive and computational neuroscience, and hands on experience in methods of neuroimaging and data science techniques. Read more
MSc Neuroscience
Koc University
Masters Programs
Our program brings together lecturers from different academic backgrounds and disciplines to create a strong research environment, target broad fields covered… Read more
MSc Cognitive Neuroscience and Human Neuroimaging
University of Sheffield
Department of Psychology
Understand the relationships between cognitive function and the underlying neural substrate in healthy and unhealthy brains and develop your skills and knowledge in neuroimaging, neurophysiological data collection and analysis techniques, and practical neuroanatomy. Read more
