High Performance Computing with Data Science
Study modes: Full-time, Part-time
Programme website: High Performance Computing with Data Science
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.
The 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, data science, and parallel computing. Assessment is by a combination of coursework and examination.
Compulsory courses: *
- 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 Optional courses (at least 2 of): *
- Numerical Algorithms for High Performance Computing (Semester 1)
- Design and Analysis of Parallel Algorithms (Semester 1)
- HPC Architectures (Semester 1)
- Advanced Parallel Techniques (Semester 2)
- Advanced Message-passing Programming (Semester 2)
- Parallel Design Patterns (Semester 2)
- Performance Programming (Semester 2)
Data Science Optional Courses (maximum two or three of, depending on credit-amount, access may be subject to meeting individual course prerequisites):
*Machine Learning Practical (Semester 1 & 2) *Bioinformatics 1 (Semester 1) *Extreme Computing (Semester 1) *Image and Vision Computing (Semester 1) *Text Technologies for Data Science (Semester 1) *Advanced Topics in Foundations of Databases (Semester 2) *Bioinformatics 2 (Semester 2) *Distributed Systems (Semester 2) *Probabilistic Modelling and Reasoning (Semester 2) *Reinforcement Learning (Semester 2) *One SCQF Level 11 course from any part of the College of Science and Engineering
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, national and even international 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 industrial partners.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
|MSc||High Performance Computing with Data Science||1 Year||Full-time||Programme structure 2018/19|
|MSc||High Performance Computing with Data Science||3 Years||Part-time||Programme structure 2018/19|
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.
A UK 2:1 honours degree, or its international equivalent, in a relevant subject. You must also be a competent programmer, for example in C, C++, Python, Fortran, or Java.
We will also consider your application if you have equivalent work experience.
Check whether your international qualifications meet our general entry requirements:
English language requirements
All applicants must have one of the following qualifications as evidence of their English language ability:
an undergraduate or masters degree, that was taught and assessed in English in a majority English speaking country as defined by UK Visas and Immigration
- IELTS Academic: total 6.5 with at least 6.0 in each component
- TOEFL-iBT: total 92 with at least 20 in each section
- PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
- CAE and CPE: total 176 with at least 169 in each paper
- Trinity ISE: ISE II with distinctions in all four components
Degrees taught and assessed in English must be no more than three years old at the beginning of your degree programme. Language tests must be no more than two years old at the beginning of your degree programme.
Find out more about our language requirements:
- Fees for MSc High Performance Computing with Data Science - 1 Year (Full-time)
- Fees for MSc High Performance Computing with Data Science - 2 Years (Part-time)
- Fees for MSc High Performance Computing with Data Science - 3 Years (Part-time)
Find out more about tuition fees and studying costs:
- The Registers of Scotland 400 Year Anniversary Scholarship
- John Fisher HPC Masters scholarships
- Postgraduate loans and bursaries for Scottish & EU students
- Highly Skilled Workforce Scholarships for UK & EU students
Find out more about scholarships and funding opportunities:
Select your programme and preferred start date to begin your application.
MSc High Performance Computing with Data Science - 1 Year (Full-time)
MSc High Performance Computing with Data Science - 2 Years (Part-time)
MSc High Performance Computing with Data Science - 3 Years (Part-time)
We encourage you to apply at least one month prior to entry so that we have enough time to process your application. If you are also applying for funding or will require a visa then we strongly recommend you apply as early as possible. We may consider late applications if we have places available, but you should contact the relevant Admissions Office for advice first.
Applications for our postgraduate taught programmes can be submitted at any time during the year, and will be evaluated as they are received. We will make a small number of offers to the most outstanding candidates on an ongoing basis, but please do not be concerned if you do not hear initially as offers are regularly made in batches.
If you have any concerns please contact: firstname.lastname@example.org.