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1 Year On Campus Masters Program
University of EdinburghThe MSc High Performance Computing with Data Science at the University of Edinburgh is an applied, industry-aligned program delivered at EPCC, the UK’s leading supercomputing centre.
The course combines expertise in high performance computing (HPC) technologies with data science methodologies to solve large-scale, complex, and computationally intensive problems across science, engineering, and business sectors.
Students develop strong programming capabilities and practical software development skills while gaining hands-on experience with HPC platforms and data analytics.
Course Overview:
Fundamentals of Data Management
Message-Passing Programming
Threaded Programming
Data Analytics with High Performance Computing
Practical Software Development
Project Preparation
Optional:
Numerical Algorithms for High Performance Computing
Design and Analysis of Parallel Algorithms
HPC Architectures
Programming Languages for
Accelerated Systems: Principles and Practice
Advanced Message-passing Programming
Parallel Design Patterns
Performance Programming
Teaching: Delivered through lectures, practical programming labs, tutorials, and supervised project work.
Assessment: Assessed via coursework, programming assignments, practical projects, and an individual dissertation.
Practical, project-based learning using industry-relevant HPC platforms and data analytics tools.
Dissertation project with opportunities for collaboration with external industry or research organizations.
Hands-on experience with programming languages such as Python, C, C++, Fortran, and Java.
Real-world problem-solving in fields like astrophysics, geosciences, biology, chemistry, and informatics.
Strong engagement with EPCC’s supercomputing environment and exposure to cutting-edge computational challenges.
Graduates are well-prepared for roles in HPC, software engineering, finance, energy, bioinformatics, and scientific research.
Pathway to PhD studies in computational science, data science, or high-performance computing.
Excellent industry connections, supporting career progression to roles in global technology companies and research centers.
Alumni work in both academic research and applied commercial sectors worldwide.
IELTS Academic: total 7.0 with at least 6.0 in each component.TOEFL-iBT (including Home Edition): total 100 with at least 20 in each component.Entry requirement: A UK 2:1 honours degree, or its international equivalent, in a relevant subject such as computer science and informatics, physics, mathematics, engineering, biology, chemistry and geosciences.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Part time studies available; 2-3 yearsSoftware DeveloperHPC EngineerData ScientistComputational ScientistMachine Learning EngineerPetroleum EngineerHPC Support AnalystFinancial AnalystBioinformaticianPhD Researcher
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