Master of Science in Computational Sciences
Interdisciplinary master’s programme blending mathematics, computer science, and applied sciences for computational problem-solving.
Best for:Best for students with a bachelor’s degree in chemistry, physics, geosciences, mathematics, or computer science seeking to specialise in computational methods and interdisciplinary scientific research.
Overview
The Master of Science in Computational Sciences at Freie Universität Berlin is a four-semester programme designed for students with diverse academic backgrounds in chemistry, physics, geosciences, mathematics, and computer science. It equips graduates with advanced skills in computational methods, scientific computing, and specialised fields such as molecular sciences, geosciences, or atmospheric sciences. The curriculum combines theoretical foundations with hands-on application, encouraging interdisciplinary collaboration and independent research. Students engage in a master’s thesis project, often in collaboration with international research groups, and develop expertise in computational tools to address complex scientific challenges. The programme fosters key competencies in interdisciplinary problem-solving, communication, and cultural sensitivity, preparing graduates for careers in research, industry, or academia.
What you'll do
- Develop and apply advanced mathematical and computational methods to solve scientific problems across disciplines like chemistry, physics, geosciences, and atmospheric sciences.
- Complete interdisciplinary coursework covering synchronisation, scientific computing, and specialised modules in molecular sciences, geosciences, or atmospheric sciences.
- Conduct independent research and write a master’s thesis in collaboration with international research groups, often involving computational modelling or simulations.
- Present research findings orally and in writing, tailoring communication to diverse audiences and considering cultural differences in interdisciplinary settings.
- Engage in practicals and tutorials that promote gender and diversity awareness, fostering inclusive and collaborative research environments.
- Participate in scientific projects that may involve international partners, preparing students for global research collaborations.
Requirements
Degree required: Bachelor’s degree in chemistry, physics, geological sciences, meteorology, geographical sciences, mathematics, computer science, or engineering sciences with specific credit requirements (e.g., 10 CP in mathematics for chemistry/meteorology, 20 CP in mathematics/chemistry/physics for computer science/engineering).
Degree offered: Master of Science (MSc)
Language: English; B1 level (certified, e.g., Cambridge English Qualifications: B1 Preliminary).
Instruction: English (all mandatory courses); German helpful for additional course options.
- Strong foundation in mathematics (e.g., 10+ CP for chemistry/meteorology, 20+ CP for computer science/engineering).
- Basic knowledge of physics (e.g., 8+ CP for chemistry, 20+ CP for computer science/engineering).
- Proficiency in English at B1 level (certified).
- Ability to work independently and collaboratively in interdisciplinary teams.
- Basic programming or computational skills (implied by degree background).
- Bachelor’s degree from a recognised institution in one of the specified fields.
- Minimum 10 CP in mathematics for chemistry/meteorology, 20 CP in mathematics/chemistry/physics for computer science/engineering.
- No nationality or residency restrictions (open to international applicants).
- No age limit.
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: Mid-April until end of May
Applicants must submit their application through uni-assist, providing academic transcripts, proof of English proficiency (B1 level), and meeting specific credit point requirements. The application process includes reviewing admission statutes and selecting courses from the synchronisation, scientific computing, and specialisation areas. No additional internship is required, but students may complete a scientific project during an internship if desired.
- CV
- Bachelor’s degree certificate and transcripts
- Proof of English proficiency (B1 level, e.g., Cambridge English Qualifications: B1 Preliminary)
- Proof of credit points in mathematics/physics (as per eligibility requirements)
- Letter of motivation (if required by uni-assist)
- Passport or ID copy
Contact
Student Services Centre· Application and Admission Support
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.