21Oct
PostgraduateCourse summary
Developments in fields such physics, engineering, Earth sciences or finance are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world have the potential to make a positive impact on issues relating to the Earth and its environment. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:
- Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
- Mathematical aspects of data analysis and the simulation and analysis of mathematical models
- Implementation and application of fundamental techniques in an area of specialisation (as well as Earth and Environmental Sciences we offer options in Astrophysics, Computer Vision and Robotics, or Financial Technology)
Modules
Plus optional modules which may include: Advanced Statistical and Machine Learning: Foundations and Unsupervised Learning; Advanced Statistics and Machine Learning: Regression and Classification; Data Acquisition and Image Processing; Performance Modelling, Vectorisation and GPU Programming; Advanced Algorithms and Discrete Systems; Computational Linear Algebra and Continuous Systems.
Assessment method
This degree is organised by the Department of Computer Science with specialisations offered in collaboration with the Department of Earth Sciences, the Department of Mathematical Sciences, the Business School and the Department of Physics. Teaching and learning methods are varied, they include a combination of lectures, practical classes/computer labs, field work, independent study, research and analysis, a project (dissertation) and coursework. Some modules also include group and individual presentations. You will also be given the opportunity to work with a wide variety of high-quality computer kit and software. This includes HPC systems such as GPU clusters, systems with heterogeneous architectures and specialist software installations (such as performance analysis tools), AI tools and data acquisition tools. Assessment Assessment takes a combination of forms including coursework, presentations and a project which is worth one-third of your total mark. You will complete your dissertation-style project on a topic of your choice from within the methodological academic departments (Mathematical Sciences or Computer Science), or within the Earth and environmental sciences, or in close cooperation with our industrial partners.
How to apply
International applicants
If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway programme at the Durham University International Study Centre.
This course has a subject classification which requires students whose nationality is outside the European Economic Area (EEA) or Switzerland to have an ATAS certificate, irrespective of country of residence at the point of application.
Further information can be found on the UK Government's website: www.gov.uk/academic-technology-approval-scheme
Entry requirements
A UK first or upper second class honours degree (BSc) or equivalent: In Physics or a subject with basic physics courses OR In Computer Science OR In Mathematics OR In Earth Sciences OR In Engineering OR In any natural sciences with a strong quantitative element. We strongly encourage students to sign up for a specialisation area for which they already have a strong background or affinity. At the moment, the course targets primarily Physics, Earth Sciences and Mathematics (finances) students. If you do not have a degree from these subjects, we strongly recommend you to contact the University beforehand to clarify whether you bring along the right background. Please note that standard business degrees are not sufficient, as they lack the required level of mathematical education. Additional requirements: Programming knowledge on a graduate-level in both C and Python is required.
English language requirements
Durham University welcomes applications from all students irrespective of background. We encourage the recruitment of academically well-qualified and highly motivated students, who are non-native speakers of English, whose full potential can be realised with a limited amount of English Language training either prior to entry or through pre-sessional and/or in-sessional courses. It is the normal expectation that candidates for admission should be able to demonstrate satisfactory English proficiency before the start of a programme of study, whether via the submission of an appropriate English language qualification or by attendance on an appropriate pre-sessional course. Acceptable evidence and levels required can be viewed by following the link provided.
English language requirements
https://www.durham.ac.uk/study/international/entry-requirements/english-language-requirements/
Fees and funding
Tuition fees
| England | £13500 | Year 1 |
| Northern Ireland | £13500 | Year 1 |
| Scotland | £13500 | Year 1 |
| Wales | £13500 | Year 1 |
| Channel Islands | £13500 | Year 1 |
| EU | £30900 | Year 1 |
| International | £30900 | Year 1 |
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
For further information see the course listing.
Provider information
Durham University
The Palatine Centre
Stockton Road
Durham
DH1 3LE