Overview
The MSc in Scientific Computing and Data Analysis (Astrophysics) at Durham University is designed to provide students with a robust foundation in computational techniques essential for tackling complex scientific problems. This programme is ideal for those looking to delve into the fascinating realm of astrophysics while acquiring the necessary skills in data analysis and scientific computing. The course spans one academic year, commencing in September 2026, and is delivered in a full-time format, allowing students to immerse themselves fully in their studies.
Why Scientific Computing and Data Analysis (Astrophysics) at Durham University?
Durham University is renowned for its strong emphasis on research-led teaching, providing students with access to cutting-edge facilities and resources. The university ranks highly in various national and international league tables, reflecting its commitment to academic excellence. Additionally, the collaboration between multiple departments, including Computer Science, Mathematical Sciences, and Physics, enhances the interdisciplinary nature of the programme, ensuring students receive a well-rounded education.
Graduates of this programme are well-positioned to meet the increasing demand for skilled professionals in scientific computing and data analysis, particularly within astrophysics and related fields. The skills acquired during the course are applicable across numerous sectors, including academia, research institutions, and technology companies.
Careers with Scientific Computing and Data Analysis (Astrophysics)
Alumni of the MSc in Scientific Computing and Data Analysis (Astrophysics) have successfully pursued careers in a variety of roles such as software engineers, data analysts, and research scientists. Many have found employment in prestigious organisations within the technology sector, financial institutions, and academic research. The programme's strong industry connections provide students with valuable networking opportunities, enhancing their employability upon graduation.
Programme Structure
Courses include:
- Advanced Statistical and Machine Learning: 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 System
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
Computational Mathematics Data Analytics View 238 other Masters in Data Analytics in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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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 (Astrophysics).
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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