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  1. Informatics

    MSc

    University of Edinburgh - School of Informatics

    Students select from a pool of around 50 courses, normally registering for four courses in Semester 1 and four in Semester 2. These taught courses are supported by two Dissertation preparation courses, delivered prior to the start of the dedicated Dissertation period.

  2. Artificial Intelligence

    MSc

    University of Edinburgh - Artificial Intelligence

    Edinburgh is the oldest centre for AI research in the UK and today is one of the best in the world. Our MSc in AI was first offered in 1983 and remains one of the University's most popular degree programmes.

  3. Cognitive Science

    MSc

    University of Edinburgh - School of Informatics

    The programme provides a thorough grounding in the study of human information processing, with a special emphasis on natural language, and acquaints students with neural computation, formal logic, computational and theoretical linguistics, cognitive psychology, together with their methodologies and interconnections. This degree is designed to deepen and broaden understanding in the expanding domain of Cognitive Science, with an emphasis on the study of natural language.

  4. Computer Science

    MSc

    University of Edinburgh - School of Informatics

    Computer Science is an intellectually challenging subject that underpins the core technologies of the 21st century. Its scope ranges from the design of programming languages and algorithms, to models of computation, such as distributed, parallel and quantum computing, and the study of the limits of computation, and is concerned with the understanding, design, implementation and use of computing systems ranging in complexity from the components of a single processor to computer networks as vast as the World Wide Web.

  5. Neuroinformatics & Computational Neuroscience Doctoral Training Centre (DTC)

    MSc by research

    University of Edinburgh - School of Informatics

    The Neuroinformatics & Computational Neuroscience Doctoral Training Centre (DTC) covers research into understanding the nervous system using experiments and computational models; applying findings from neuroscience to build better software and hardware (robots and microcircuits); and using advanced methods to improve data handling and analysis including clinical diagnosis.

  6. Neuroinformatics

    MSc by research

    University of Edinburgh - School of Informatics

    Edinburgh has a long-standing tradition of world-class research and teaching in Informatics, a discipline central to a new enlightenment in scholarship and learning, and critical to the future development of science, technology and society. We define Informatics as the study of how natural and artificial systems store, process and communicate information.

  7. Informatics

    MSc

    University of Edinburgh - School of Informatics

    Students select from a pool of around 50 courses, normally registering for four courses in Semester 1 and four in Semester 2. These taught courses are supported by two Dissertation preparation courses, delivered prior to the start of the dedicated Dissertation period.

  8. Artificial Intelligence

    MSc

    University of Edinburgh - Artificial Intelligence

    Edinburgh is the oldest centre for AI research in the UK and today is one of the best in the world. Our MSc in AI was first offered in 1983 and remains one of the University's most popular degree programmes.

  9. Artificial Intelligence

    MSc by research / MPhil / PhD

    University of Edinburgh - School of Informatics

    Edinburgh's School of Informatics has an outstanding record of achievement both in research and teaching. It has received top awards in independent assessments of the quality of its work in both areas of activity.

  10. Computer Science

    MPhil / MSc by research / PhD

    University of Edinburgh - School of Informatics

    Edinburgh's School of Informatics has an outstanding record of achievement both in research and teaching. It has received top awards in independent assessments of the quality of its work in both areas of activity.

 
 
 
 
 

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