Virtual Open Days 2017
In order to give applicants an opportunity to find out more about the MSc programmes, we offer online sessions where you can speak to teaching staff in an informal and friendly way. It's also a great opportunity to ask any questions about the MSc.
The next virtual open day is:
Wednesday 19th April, 13:00 - 14:00 BST (GMT +1)
Our Virtual Open Days are live, online events so you don't have to come to the campus. There will be two presentations followed by a Question & Answer session. No preparation is required before the sessions. The presentations will cover an introduction of the MSc programmes, course contents, career opportunities, scholarships, applying and other aspects of studying with us.
Online registration is required for the events and we will accept bookings up to three days prior to each Virtual Open Day. Please go to this link to register: http://www.epcc.ed.ac.uk/msc/applying/visiting-open-days
You will study at EPCC, the UK’s leading supercomputing centre. EPCC is the major provider of high performance computing (HPC) training in Europe with an international reputation for excellence in HPC education and research.
Our staff have a wealth of expertise across all areas of HPC, parallel programming technologies and data science.
This MSc programme has a strong practical focus and provide access to leading- edge HPC systems such as ARCHER, which is the UK’s largest, fastest and most powerful supercomputer, with more than 100,000 CPU cores.
Data science involves the manipulation, processing and analysis of data to extract knowledge, and HPC provides the power that underpins it.
You will learn the multidisciplinary skills and knowledge in both HPC and data science to unlock the knowledge contained in the increasingly large, complex and challenging data sets that are now generated across many areas of science and business.
This MSc programme takes the form of two semesters of taught courses followed by a dissertation project.
Your studies will have a strong practical focus and you will have access to a wide range of HPC platforms and technologies. You will take seven compulsory courses, which provide a broad-based coverage of the fundamentals of HPC, parallel computing and data science. The option courses focus on specialist areas relevant to computational science. Assessment is by a combination of coursework and examination.
Fundamentals of Data Management (Semester 1)
Message-Passing Programming (Semester 1)
Programming Skills (Semester 1)
Threaded Programming (Semester 1)
Data Analytics with High Performance Computing (Semester 2)
Software Development (Semester 2)
Project Preparation (Semester 2)
HPC Architectures (Semester 1)
Parallel Numerical Algorithms (Semester 1)
Parallel Programming Languages (Semester 1)
Advanced Parallel Programming (Semester 2)
HPC Ecosystem (Semester 2)
Parallel Design Patterns (Semester 2)
Performance Programming (Semester 2)
Courses from the School of Informatics, Mathematics or Physics (up to 30 credits)
After completing the taught courses, students work on a three-month individual project leading to a dissertation. Dissertation projects may be either research-based or industry-based with an external organisation, with opportunities for placements in local companies.
Industry-based dissertation projects
Through our strong links with industry, we offer our students the opportunity to undertake their dissertation project with one of a wide range of local companies.
An industry-based dissertation project can give you the opportunity to enhance your skills and employability by tackling a real-world project, gaining workplace experience, exploring potential career paths and building relationships with local companies.
Our graduates are employed across a range of commercial areas, for example software development, petroleum engineering, finance and HPC support. Others have gone on to PhD research in fields that use HPC technologies, including astrophysics, biology, chemistry, geosciences, informatics and materials science.
The minimum entry requirement is a relevant UK 2:1 degree, or its international equivalent, or equivalent work experience. You must also be a competent programmer, for example in C, C++, Fortran, Java or Python.