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High Performance and Scientific Computing MSc


Course Description

The MSc in High Performance and Scientific Computing is for you if you are a graduate in a scientific or engineering discipline and want to specialise in applications of High Performance computing in your chosen scientific area. During your studies you will develop your computational and scientific knowledge and skills in tandem helping emphasise their inter-dependence.

On the course in High Performance and Scientific Computing you will develop a solid knowledge base of high performance computing tools and concepts with a flexibility in terms of techniques and applications. You will take core computational modules in addition to specialising in high performance computing applications in a scientific discipline that defines the route you have chosen (Biosciences, Computer Science, Geography or Physics). You will also be encouraged to take at least one module in a related discipline.

The modules you study on the High Performance and Scientific Computing MSc depend on the route you choose and routes are as follows:

Biosciences route:

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Conservation of Aquatic Resources or Environmental Impact Assessment
Ecosystems
Research Project in Environmental Biology
+ 10 credits from optional modules

Computer Science route:

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Software Engineering
Data Visualization
MSc Project
+ 30 credits from optional modules

Geography route:

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Modelling Earth Systems or Satellite Remote Sensing or Climate Change – Past, Present and Future or Geographical Information Systems
Research Project
+ 10 credits from optional modules

Physics route:

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Monte Carlo Methods
Quantum Information Processing
Phase Transitions and Critical Phenomena
Physics Project
+ 20 credits from optional modules

Optional Modules:

Software Engineering
Data Visualization
Monte Carlo Methods
Quantum Information Processing
Phase Transitions and Critical Phenomena
Modelling Earth Systems
Satellite Remote Sensing
Climate Change – Past, Present and Future
Geographical Information Systems
Conservation of Aquatic Resources
Environmental Impact Assessment
Ecosystems

Visit the High Performance and Scientific Computing MSc page on the Swansea University website for more details!



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Student Profiles
(Scholarship)

100 Swansea University Master's Scholarships - 20+ Awards

Swansea University is offering 100 Master’s Scholarships, each worth £3000 towards tuition fees for UK/EU students starting eligible master’s courses in September 2017.Eligible courses include:All LLM programmes (including LLM by Research)All MA programmes (including MA by Research)All MRes programmesAll MSc programmes (including MSc by Research)Please note that MPhil, GDL/CPE and LPC programmes are not eligible for the Swansea University Master’s Scholarship scheme.

Value of Scholarship(s)

3000

Eligibility

You must have, or expect to achieve, a minimum 2:1 honours degree (or equivalent).You must hold an offer to study on an eligible master’s course at Swansea University from September 2017. Programmes commencing in January, April and July 2017 are not eligible.

Application Procedure

Please visit our website for more details on how to apply.

Further Information

http://www.swansea.ac.uk/postgraduate/scholarships/taught/swansea-masters-scholarships-2017.php



Entry Requirements

Students for the High Performance and Scientific Computing MSc must have a BSc in a scientific or engineering discipline with a grade of 2.2 or above. You must also be able to prove familiarity with a high level programming language such as Java, Python, C# etc., e.g. through the successful completion of a taught module that has been part of your curriculum or relevant industrial experience. For EU/international students: IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.

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