MSc Imaging, Vision and High Performance Computing

First or strong upper second-class honours degree (or its overseas equivalent) with strong competence across signal and image processing and programming (C, C++, Fortan, Java, or Python). Suitable candidates are likely to have studied a first degree in electrical engineering, computer science, mathematics, or physics.

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Semester 1
Optimisation and Deep Learning for Imaging and Vision I - 15 credits
Foundations of Learning and Computer Vision - 15 credits
Threaded Programming - 10 credits
High Performance Computing Architectures - 10 credits
Message-Passing Programming - 10 credits
Semester 2
Optimisation and Deep Learning for Imaging and Vision II - 15 credits
Graph Methods for Imaging, Vision and Computing - 15 credits
Advanced Parallel Techniques - 10 credits
Performance Programming - 10 credits
Machine Learning at Scale - 10 credits
Semester 3
Dissertation in Imaging, Vision and HPC - 60 credits
Students will choose a project with primary supervisor in one of the institutions (Heriot-Watt University or University of Edinburgh), and a secondary supervisor in the other. Collaboration with industry is possible and encouraged. The explicit project phase in semester 3 will build on compulsory preliminary activities in semesters 1 and 2 focussing on research methodologies and project preparation.

Alternative courses: If you have studied any of the Semester 1 or Semester 2 courses previously as a student of Heriot-Watt University or the University of Edinburgh then you may be eligible to study alternative courses as agreed with the programme director.