Overview
The MSc in Scientific Computing and Data Analysis (Financial Technology) at Durham University offers an in-depth exploration of the intersection between advanced computing techniques and financial markets. This programme is meticulously designed to equip students with the necessary skills to thrive in the rapidly evolving financial technology landscape. With a focus on practical applications, the course integrates three core strands: the foundational principles of computer science, the mathematical theories underpinning data analysis, and the implementation of these techniques in various specialisations, including Financial Technology.
Why Scientific Computing and Data Analysis (Financial Technology) at Durham University?
Durham University is renowned for its academic excellence and innovative research. The university's Computer Science Department is at the forefront of technological advancements, providing students with access to cutting-edge facilities and resources. The strong emphasis on research-led teaching ensures that students are not only learning theoretical concepts but also applying them in real-world scenarios. Additionally, the university maintains robust partnerships with industry leaders, enhancing career opportunities for graduates.
Careers with Scientific Computing and Data Analysis (Financial Technology)
Graduates of this programme are well-prepared for a variety of roles in the financial services sector. Many alumni have successfully secured positions as software engineers, data analysts, and consultants in prestigious organisations such as investment banks, hedge funds, and technology firms. The programme's strong focus on practical skills ensures that students are equipped to meet the demands of employers across diverse industries.
Programme Structure
Courses 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
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Applicants needing a student visa must submit postgraduate applications by end July, while those not requiring a visa must apply by end August.
Language
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Credits
Delivered
Campus Location
- Durham, United Kingdom
Disciplines
Computer Sciences Data Analytics View 234 other Masters in Data Analytics in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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 Earth Sciences OR
- In Engineering OR
- In any natural sciences with a strong quantitative element.
Tuition Fees
-
International Applies to you
Applies to youNon-residents34500 GBP / year≈ 34500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15000 GBP / year≈ 15000 GBP / year
Living costs
Durham
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Scientific Computing and Data Analysis (Financial Technology).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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