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Overview
The Scientific Computing and Data Analysis MSc 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;
- Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, or financial mathematics).
Why study this course
This course will open doors for you, both in the industry as well as in further study, and aims to:
The The Scientific Computing and Data Analysis MSc course at Durham University is taught using a wide range of learning research-led and teaching methods:
- Lectures
- Practical classes/computer labs
- Independent study, research and analysis
- Project (dissertation) and coursework
- Group and individual presentations
Programme Structure
In this course:
- you will obtain a strong baseline in methodological skills
- you will study selected topics from your chosen specialisation area with a strong emphasis on computational and data challenges.
- you can choose to put emphasis on data analysis or scientific computing
- you will do a challenging project either within the methodological academic departments (Mathematical Sciences or Computer Science), or within the specialisation area, or in close cooperation with our industrial partners
- you will acquire important professional skills spanning collaboration and project management, presentation and outreach as well as entrepreneurial thinking
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
IELTS 6.5
PTE Academic 62
TOEFL® IBT 92
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Computer Sciences Data Science & Big Data View 416 other Masters in Data Science & Big Data in United KingdomAcademic requirements
GPA Upper Second Class
English requirements
IELTS 6.5
PTE Academic 62
TOEFL® IBT 92
Other requirements
General 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 any natural sciences with a strong quantitative element.
We strongly encourage students to sign up for a specialisation area for which they already have some background or affinity. At the moment, the course targets primarily Physics students and Mathematics 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 an graduate level in at least one programming language and commitment to learning C and Python independently if not known before.
Tuition Fee
To alway see correct tuition fees
-
International
27500 GBP/yearTuition FeeBased on the tuition of 27500 GBP per year during 12 months. -
National
12100 GBP/yearTuition FeeBased on the tuition of 12100 GBP per year during 12 months.
Part Time Fees
- EU students: £6,655 per year
- Island students students: £15,125 per year
Living costs for Durham
660 - 1140 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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