MSc High Performance Computing

The MSc in High Performance Computing at The University of Edinburgh offers students a comprehensive and rigorous education in the field of advanced computing technologies. Designed for graduates with a background in computer science, engineering, or related disciplines, this programme equips students with the skills necessary to develop, implement, and optimize high-performance computing (HPC) solutions across various industries. Throughout the course, students explore core topics such as parallel and distributed computing, high-performance algorithms, GPU programming, and system architecture, enabling them to solve complex computational problems efficiently. The programme combines theoretical foundations with practical hands-on experience, featuring laboratory sessions, projects, and collaborations with industry partners. Students gain proficiency in programming languages commonly used in HPC environments, including MPI, OpenMP, CUDA, and OpenCL. The curriculum emphasizes scalability, performance optimization, and resource management, preparing graduates for roles in research, technology companies, finance, healthcare, and scientific computing. The University of Edinburgh’s strong links with industry and research institutions provide students with valuable networking opportunities and access to cutting-edge technology. Furthermore, the programme encourages critical thinking, problem-solving, and innovative approaches to computing challenges. Graduates of this MSc programme are well-positioned to pursue careers as HPC engineers, data scientists, research analysts, or to continue their academic pursuits through PhD studies. The university’s vibrant research community and state-of-the-art facilities ensure that students are supported throughout their learning journey, fostering a dynamic environment for academic and professional growth.

The MSc in High Performance Computing at The University of Edinburgh offers a comprehensive and in-depth exploration of advanced computing techniques and technologies essential for solving complex scientific, engineering, and data-driven problems. This program is designed to equip students with the theoretical knowledge and practical skills needed to effectively utilize high-performance computing (HPC) systems, including supercomputers, clusters, and cloud-based infrastructures. Throughout the degree, students will engage with a broad curriculum that covers fundamental concepts such as parallel programming, distributed algorithms, and computational science, as well as specialized topics like GPU computing, data analytics, and simulations.

Students will learn how to develop, optimize, and deploy high-performance applications across a variety of platforms, gaining hands-on experience with industry-standard tools and frameworks. The program emphasizes a strong foundation in programming languages such as MPI, OpenMP, CUDA, and Python, enabling students to write efficient, scalable code for complex computational tasks. In addition, coursework includes training in performance tuning, debugging, and profiling techniques essential for optimizing large-scale computations.

The MSc also provides opportunities for students to undertake independent research projects, working closely with academic staff and industry partners to address real-world HPC challenges. These projects often involve the application of HPC methodologies to fields such as bioinformatics, climate modeling, financial computing, and engineering simulations, allowing students to tailor their learning towards their career interests.

Furthermore, the program explores emerging areas such as quantum computing and machine learning, highlighting how these advancements can leverage high-performance infrastructure to drive innovation. The University of Edinburgh’s state-of-the-art laboratories, dedicated HPC facilities, and strong links with industry ensure that students receive not only theoretical instruction but also practical experience aligned with current technological trends.

Graduates of the MSc in High Performance Computing are well-prepared for careers in academia, research institutions, and industry sectors that rely heavily on high-performance computing resources. They possess the skills necessary to design, develop, and maintain HPC systems, contribute to scientific discovery, and innovate in computational techniques. This program aims to foster the next generation of experts capable of pushing the boundaries of computational science and technology on a global scale.

Core prerequisites include a strong foundation in mathematics, particularly in linear algebra, calculus, and discrete mathematics. Applicants are expected to have achieved high-level grades in relevant subjects, such as advanced level (A-level) mathematics or equivalent qualifications. Prior knowledge of programming languages, especially C, C++, and Python, is essential, along with familiarity with algorithms and data structures. Computational science fundamentals, including understanding of parallel processing and algorithms optimization, are highly advantageous. Candidates should possess analytical thinking skills and the ability to tackle complex problems using computational methods. For those lacking formal computing qualifications, relevant professional experience or demonstrated aptitude in related technical fields may be considered. The program encourages applicants to have completed coursework or projects involving software development, system architecture, and hardware architectures related to high-performance computing environments. Additionally, some courses may recommend familiarity with operating systems (Linux/Unix), networking protocols, and basic principles of machine learning and artificial intelligence. To prepare for the rigors of this interdisciplinary program, students are advised to develop strong problem-solving capabilities, as well as an understanding of mathematical models and computational algorithms. English language proficiency is required, generally demonstrated through standardized tests such as IELTS or TOEFL, to ensure effective communication skills for coursework, collaboration, and research activities. While specific entry requirements can vary, a typical successful applicant will have achieved excellent grades in relevant subjects, along with relevant extracurriculars or work experience in technology or research settings. The program aims to produce graduates who are capable of contributing to advancements in high-performance computing technologies, research, and applications across various scientific and industrial domains.

The University of Edinburgh offers a range of financing options for students enrolled in its High Performance Computing (HPC) programmes. Tuition fees vary depending on the student's residence status, with UK and EU students benefiting from different fee structures compared to international students. In general, UK and EU students can expect annual tuition fees to be in the region of £9,250, aligned with standard undergraduate and postgraduate rates at the university. For international students, fees tend to be higher, often around £20,000 to £30,000 per year, reflecting the university’s global standing and the specialized nature of HPC studies.

The university provides several scholarships, bursaries, and funding opportunities specifically aimed at supporting students in STEM disciplines, including HPC-related courses. These financial aids are available on a competitive basis and may cover partial or full tuition fees. For example, the Edinburgh Global Scholarships are open to international students and can significantly reduce the financial burden. Additionally, there are regional scholarships for students from particular countries or regions, which can also aid in financing studies.

Beyond university-provided funding, students are encouraged to explore external sources such as government loans, industry sponsorships, and research grants. The UK government offers student loan schemes allowing eligible students to spread the cost of their education over manageable repayment schedules. Industry partnerships and employer sponsorships are also common, especially in high-demand fields like High Performance Computing, where companies may fund part of the study in exchange for internship opportunities or future employment.

Furthermore, students may have access to part-time work opportunities across Edinburgh’s vibrant student community, helping to offset living expenses. The university’s Career Service provides guidance and job placement assistance geared towards students seeking financial support through work while studying.

International students often face higher living costs in addition to tuition fees. Edinburgh itself is known for its relatively affordable cost of living compared to London and other major UK cities, but students should budget for accommodation, food, travel, and study materials. The university offers various accommodation options, some of which are subsidized or university-managed, providing more affordable living arrangements.

In summary, the financing of studies in the High Performance Computing programme at the University of Edinburgh includes tuition fees that vary by residency status, scholarships and bursaries for eligible students, government loans and external funding sources, opportunities for part-time employment, and access to affordable accommodation options. Prospective students are advised to carefully review available financial aid options and plan their budgets accordingly to ensure a smooth academic experience.

The MSc in High Performance Computing at the University of Edinburgh provides students with comprehensive knowledge and practical skills in the design, development, and application of high performance computing (HPC) systems. This program is designed to meet the growing demand for professionals adept at leveraging advanced computational resources to solve complex scientific, engineering, and data-intensive problems. The curriculum covers a broad range of topics, including parallel programming, distributed systems, computational algorithms, and data management techniques. Students gain hands-on experience with various HPC architectures and software, enabling them to optimize performance and efficiency in computational tasks. The program emphasizes both theoretical understanding and practical application, often involving project work, laboratory sessions, and collaborations with industry partners. Graduates of the MSc in High Performance Computing are prepared for careers in academia, industry, and research organizations that rely on high performance computing facilities, such as those in finance, healthcare, aerospace, and environmental sciences. The University of Edinburgh's strong links with technology companies and research institutes facilitate internships and networking opportunities, enhancing employability after graduation. The program's faculty consists of experts in parallel computing, software engineering, and computational science, providing students with world-class instruction and mentorship. With access to Edinburgh’s state-of-the-art computing facilities and resources, students develop the skills necessary to innovate and lead in the rapidly evolving field of high performance computing. This master's program aims to produce graduates capable of addressing computational challenges and contributing to advancements in science and technology through high-performance solutions.