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Studying Data Science at the Freie Universität Berlin (FU Berlin) offers international students like you a great opportunity to study in Germany. Additionally, FU Berlin will help you engage with cutting-edge technology and research at an academic institution that is ranked 97 by the QS World Ranking 2025. FU Berlin’s Master of Science in Data Science program is interdisciplinary as well as merges practical applications along with theoretical knowledge to help you get ready for a career in Data. Read on to learn more about the Freie Universität Berlin Data Science programs along with their details regarding tuition fees, duration, the application process, and job opportunities along with their average salaries after your Data Science program.
| Overview of Data Science at the Freie Universität Berlin | |
| Field Name | Data Science |
| Level | Postgraduate |
| Acceptance Rate | 15% |
| International Students | 23% |
| QS World University Ranking 2025 | #97 |
| Intakes | January and May |
| Job Opportunities | Data Scientist, Machine Learning Engineer, Big Data Engineer, Data Analytics Manager, Quantitative Analyst, Computer Vision Engineer |
| Salary Average | EUR 70,000 |
This Blog Includes:
Why Study Data Science at the Freie Universität Berlin?
The Freie Universität Berlin is located in a city known for its technology and startup scene. You as a student will benefit from networking opportunities as well as access to industry leaders and events. Here is why you should study data science at the Freie Universität Berlin!
Strong Academic Foundation
The Master of Science in Data Science program includes areas such as statistics, machine learning, and programming. Additionally, the core modules are Statistics for Data Science, Machine Learning for Data Science, and Programming for Data Science, thereby guaranteeing that you learn the crucial technical skills necessary for the field.
Specialisation Opportunities
You can also specialise in specific areas of interest, such as Data Science in Life Sciences and Data Science Technologies. This will help you attune your education to your career aspirations and interests.
Interdisciplinary Approach
The Data Science curriculum blends principles from mathematics, statistics, and computer science. In addition, this will prepare you with a wide skill set which is used across different sectors, such as healthcare, technology, and research.
Career Prospects
You will be well-prepared for leadership roles in data management, analysis, and interpretation after the Freie Universität Berlin Data Science program. Moreover, the program involves real-world applications, hence preparing you for careers in industries like the Internet economy, health, and Industry 4.0.
International Environment
Freie Universität Berlin has students like you from around the globe, which means that it has a multicultural learning environment. This exposure improves collaborative skills and broadens perspectives, which are important in today’s day and age.
Also Read: Student Life in Germany for Indian Students
Master of Science in Data Science at the Freie Universität Berlin
The Master of Science (MSc.) in Data Science program at the Freie Universitat Berlin will equip you with important skills to navigate the digital transformation in your society and the physical and life sciences.
- The Data Science program also focuses on the collection, processing, analysis, and interpretation of large datasets.
- You will build a concrete foundation in contemporary data science by integrating mathematics, statistics, computer science, and machine learning with practical applications.
- You will also learn to identify data analysis challenges, design effective solutions, and interpret results within specific contexts.
| Tuition Fee | Approx. EUR 521.13 per year |
| Student Semester Fee | Approximately EUR 300 |
| Duration | 4 months |
| Location | Berlin, Germany |
| Language | English |
Also Read: Cost of Living in Berlin
Master of Science in Data Science Syllabus
Here is a brief about the Freie Universität Berlin Data Science program syllabus with the mandatory modules, electives and the two specialisations available.
Foundation area (Mandatory modules)
- Machine Learning for Data Science
- Statistics for Data Science
- Introduction to Profile Areas
- Programming for Data Science
Specialisations
- Data Science Technologies
- Data Sciences in Life Sciences
Elective Modules
- Ethical Foundations of Data Science
- Data Science in the Life Sciences
- Selected topics in Data Science Technologies
- Data Science Data Bases
- Artificial Intelligence
- Machine Learning in Bioinformatics
- Current Research Topics of Data Science in Life Sciences
- Software project Data Science
Also Read: A Data Scientist Salary in Germany in 2024
Admission Procedure
Overseas students can visit the official websites of universities of interest to fill out the application forms. These websites guide students to complete the application process. However, to reduce unnecessary efforts, international students can reach out to study abroad experts at Leverage Edu to complete the application procedure. These experts will guide students in the following steps:
- Course and university selection through AI Course Finder
- Document gathering
- Filling out the application form
- Applying for accommodation
- Availing of education loans to study in Germany
- Applying for student accommodation in Germany
- Sending money to universities
- International money transfer
Eligibility Criteria
A degree from Freie Universität Berlin in Data Science includes practical experiences as well as theoretical aspects. However, you will need to fulfil this eligibility:
- Hold a Bachelor’s degree in computer science or an equivalent degree with a total of 180 credit points. These must include at least:
- 20 credit points in mathematics modules, with at least 5 credit points in linear algebra or calculus and 5 credit points in probability theory or statistics.
- 10 credit points in computer science modules, with at least 5 credit points in algorithms and 5 credit points in a higher programming language like C/C++, Java or Python.
- A Portfolio will all your work experiences and Projects.
| English Language Requirements for Data ScienceAt the Freie Universität Berlin | |
| IELTS | 7 or higher |
| TOEFL iBT | 95 or higher |
Also Read: TOEFL vs IELTS vs PTE
Documents Required
International students are required to give certain documents while applying to German universities. This is the list of documents that are required for the admission process to study abroad:
- Preliminary Documentation (VPD) by uni-assist
- Academic Transcripts and Certifications
- Portfolio
- Statement of Purpose(SOP)/Essay
- Letter/s of Recommendation(LOR)
- Scorecards of Language Proficiency Tests such as Goethe-Zertifikat C2, TestDaF, DSH, TOEFL, or IELTS.
- Student Visa
- Resume/CV
- Completed application form
- Passport
- Most current photo
- Proof of financial resources
- Health insurance policy
- Scores of entrance examinations (only if applicable)
Please note: Applicants with certificates from India, China or Vietnam have to submit the original certification from an Academic Evaluation Centre (Akademische Prüfstelle – APS) along with the other required documents.
Also Read: Life and Studying Tips That Every Student Must Know
Data Science Jobs in Germany
The table shows the popular data science jobs in Germany after completing your master’s in Data Science from the Freie Universität Berlin.
| Job Profiles | Average Yearly Salary |
| Data Scientist | EUR 73,600 |
| Machine Learning Engineer | EUR 75,000 to EUR 90,000 |
| Big Data Engineer | EUR 60,000 |
| Data Analytics Manager | EUR 80,000 |
| Quantitative Analyst | EUR 65,000 |
| Computer Vision Engineer | EUR 65,000 |
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FAQs
It is hard to get into the Freie Universität Berlin because it is competitive, especially for popular programs like Data Science. Applicants need substantial academic records and relevant qualifications to get admission.
The acceptance rate for FU Berlin is approximately 15%. However, 23% of the student population are international students who have secured their place at the university.
There are many requirements for the Free University Data Science MasterMaster such as an undergraduate degree in computer science or an equivalent degree, an English language proficiency certificate and other necessities.
The Freie Universität Berlin is great for international students with 23% of the student population being from countries around the world. Moreover, the diverse cultures and perspectives make it a great learning environment.
This was all about the Freie Universität Berlin Data Science. Evaluate all study abroad options with Leverage Edu. Stay tuned with Leverage Live classes and get 30-minute free counselling by calling our toll-free number 1800 572 000 and realise your dream of studying in Germany.
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