Master of Science in Astronomy and Data Science
Combine cutting-edge astronomy research with advanced data science techniques for a career in academia or industry.
Best for:Best for students passionate about astronomy and data science, seeking a rigorous interdisciplinary programme with opportunities in both academia and industry.
Overview
This Master of Science specialisation at Leiden University merges computational astrophysics with data science, equipping students with skills to develop and apply innovative data-mining technologies. The programme leverages world-class research in computational astrophysics and high-tech industry expertise to explore complex astronomical phenomena, including radiative transfer, galaxy formation, and hydrodynamical modeling. Ideal for students aiming for careers in astronomy, computer science, or data-driven industries, this interdisciplinary track offers flexibility to tailor studies to individual interests. Graduates will be prepared for roles in both academic and industrial sectors, mastering the intersection of big data and astrophysical research.
What you'll do
- Develop and apply advanced data-mining technologies to astronomical datasets.
- Conduct research in computational astrophysics, including radiative transfer and galaxy formation modeling.
- Collaborate with industry experts to integrate high-tech solutions in astronomical data analysis.
- Tailor your curriculum to focus on specific areas of interest within astronomy and data science.
- Engage in interdisciplinary projects bridging astronomy and computer science.
- Prepare for careers in academia, research institutions, or data-driven industries.
Requirements
Degree required: Bachelor of Science in Astronomy, Physics, Computer Science, or a related field
Degree offered: Master of Science
Language: English; IELTS overall band 6.5 or TOEFL internet-based 90 or equivalent
Instruction: English
- Proven academic background in astronomy, physics, or computer science
- Strong mathematical and computational skills
- Basic proficiency in programming (e.g., Python, C++)
- No specific nationality restrictions
- No age restrictions
- No prior experience caps
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2026-10-15
Applicants must submit their application through Leiden University’s official portal. Required documents include a CV, a motivation letter, academic transcripts, proof of English proficiency, and a portfolio or research proposal if applicable. Ensure all documents are uploaded before the deadline.
- CV
- Motivation letter
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (IELTS, TOEFL, or equivalent)
- Portfolio or research proposal (if applicable)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.