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Scientific Computing and Data Analysis (Astrophysics)
Durham University’s Master of Science in Scientific Computing and Data Analysis (Astrophysics) program offers students the opportunity to combine advanced computational techniques with astrophysics research. This one-year program is designed for those looking to apply data analysis and computational methods to problems in astrophysics, including the study of space, stars, and the universe’s fundamental forces.
Students will learn how to use computational tools to model astrophysical phenomena, analyze large datasets, and develop simulations to test theoretical predictions. The program is ideal for those pursuing careers in academic research, space agencies, or scientific computing fields. Graduates will be equipped to contribute to cutting-edge research in astrophysics, scientific computing, and related disciplines.
Key information
Key Facts
- Program Title: Master of Scientific Computing and Data Analysis (Astrophysics)
- Degree Type: S. Master
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Start Date: 31st July 2026
- Language of Instruction: English
- Location: University of Durham, United Kingdom
Program Structure
Semester 1 – Core Scientific Computing and Astrophysics
- Introduction to Scientific Computing
- Computational Methods in Astrophysics
- Data Analysis and Statistical Methods
- Programming for Scientists
- Astrophysics: Observations and Theory
Semester 2 – Advanced Data Analysis and Computational Astrophysics
- Advanced Data Visualization and Modeling
- Numerical Simulations in Astrophysics
- Machine Learning for Scientific Data
- High-Performance Computing
- Dissertation Preparation
Career Opportunities
Graduates of the MSc in Scientific Computing and Data Analysis (Astrophysics) from Durham University are prepared for roles in both academia and industry, combining advanced computational techniques with astrophysics. Career opportunities include positions in scientific research, data analysis, software development for scientific applications, and computational modeling. Many graduates go on to work in research institutions, space agencies, academic positions, and private sector companies specializing in data science and technology. With expertise in both scientific computing and astrophysical data analysis, you will be well-prepared for advanced research or development roles in scientific computing and astrophysics.
Why Choose This Program
Durham University’s MSc in Scientific Computing and Data Analysis (Astrophysics) provides a rigorous education in both computational mathematics and astrophysics, focusing on the use of data analysis and simulation in understanding complex astrophysical phenomena. The program offers a balance of theory and practical application, equipping you with advanced skills in data science, numerical methods, and astrophysical research. The program’s focus on machine learning and high-performance computing prepares you for solving cutting-edge problems in astrophysics and other scientific domains. With access to world-class facilities, research opportunities, and industry expertise, you will be well-prepared to make significant contributions to scientific research and technology development.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)191 334 2000
Email: admissions@durham.ac.uk
Address: University of Durham, Durham, DH1 3LE, United Kingdom
