Scientific Computing and Data Analysis
Gain Masters-level knowledge in scientific computing, data analysis and its application.
1 year full-time
1 year full-time
Please note: Courses may be affected by Covid-19 and are therefore subject to change due to the ongoing impact of Covid-19. Applicants will be informed of any changes which we are required to make to course entries as a result of Covid-19.
Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.
The MSc in Scientific Computing and Data Analysis offers an application-focused course to deliver these skills with three interwoven strands:
This course will open doors for you, both in the industry as well as in further study, and aims to:
The course is structured into five modules spanning three terms and is currently available with a specialisation in astrophysics, particle physics, or financial mathematics.
In this course:
The course is taught using a wide range of learning research-led and teaching methods:
A detailed list of learning and teaching methods is found per module in the module descriptions.
Besides the formal characteristics clarified in these descriptions, students from the course will be given the opportunity to work with a wide variety of top-notch computer kit and software:
A UK first or upper second class honours degree (BSc) or equivalent
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.
Programming knowledge on a graduate-level in both C and Python is required. For more information look at self-assessment tests and tutorial links to assess your programming skills.
|Home students||£11,660 per year|
|EU students||£26,500 per year|
|Island students||£11,660 per year|
|International students||£26,500 per year|
|Home students||£6,500 per year|
|EU students||£14,600 per year|
|Island students||£6,500 per year|
|International students||£14,600 per year|
The tuition fees shown are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).
Please also check costs for colleges and accommodation.
We are committed to supporting the best students irrespective of financial circumstances and are delighted to offer a range of funding opportunities.Find out more about Scholarships and Bursaries
For further information on career options and employability, including the results of the Destination of Leavers survey, student and employer testimonials and details of work experience and study abroad opportunities, please visit our employability web pages.
The Department of Computer Science offers postgraduate courses that are challenging and technologically relevant, covering topics including big data, computer graphics, computer vision, image analysis, the Internet and the mathematical foundations of computing. You will have access to extensive and diverse research facilities, for example a Tier-3 supercomputer, a visualisation suite, several general-purpose computing on graphics processing units clusters and workstations, autonomous cars, and a team of intelligent robots. We have strong links with industrial partners; recent graduates have become successful entrepreneurs and software developers, have gained prestigious positions in banking and finance, and have entered the IT and engineering industries.
Ranked joint 1st in the UK for Internationally Excellent or World-Leading research impact in REF 2014.
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