Germany is a popular destination for studying data science due to its high-quality education. The advanced infrastructure and research-driven approach attract many international students to pursue a master’s degree in data science in Germany. Studying in Germany offers a robust foundation for a thriving career, thanks to the country’s strong industry connections, world-class universities, and excellent career opportunities.
Key highlights:
- Why Choose a Master’s in Data Science in Germany?
- Best Universities in Germany for Data Science
- Admission Requirements for a Master’s Degree in Data Science in Germany
Why Choose a Master’s in Data Science in Germany?
The following are a few reasons that make a master’s in data science in Germany a desirable course:
Top-Ranked Universities
You will find some of the top-ranked universities that provide a master’s in data science in Germany. Universities like Ludwig-Maximilians-Universität München and the Technical University of Munich are renowned for their superior education quality.
The top universities in Germany for master’s in data science offer high-quality education with modern teaching methods and curricula. The best universities in Germany for data science offer hands-on experience and networking possibilities for students.
English-Taught Degrees
If you are worried about the German language barrier, you will be pleased to know that many courses are offered in English. You will find many master’s programmes in data science in Germany that are taught in English at top universities. This means you can pursue your advanced degree without needing prior German language proficiency.
Career Opportunities
Students who opt for a master’s degree in data science in Germany can get jobs in international organisations. The most sought-after companies include PwC, Amazon Development Centre DEU, Google, AWS EMEA SARL, among others. German universities provide job placements and internships, allowing students to secure a job in one of these international companies.
Stay Back Period
Upon completing a study programme, students can apply for a Job Seeker visa that allows them an additional 18 months’ stay to find a job in the country.
Master’s in Data Science: Course Overview
When you study data science in Germany, the course duration can be 1.5-2 years. You will gain a deeper understanding of mathematics, statistics, analysis, algorithms, and systems to analyse the data and make viable business decisions. With a master’s in data science from Germany, you can explore some interesting professions such as Data Scientist, Business Intelligence Developer, and Deep Learning expert, to name a few.
Best Universities in Germany for Data Science
Here is a list of the top universities in Germany that offer a Master’s in data science:
- Technical University Munich
- RWTH Aachen University
- University of Mannheim
- Ludwig Maximilians University
- Hochschule Darmstadt University of Applied Sciences
- Jacobs University
- University of Magdeburg
- University of Hildesheim
- Leuphana University of Lüneburg
- TU Dortmund
Note: All universities mentioned above offer a master’s in data science in Germany in English, except Hochschule Darmstadt University of Applied Sciences, which offers this course only in German.
Admission Requirements for a Master’s Degree in Data Science in Germany
- A bachelor’s degree in relevant fields like mathematics, statistics, engineering, or computer science
- English proficiency requirements include an IELTS (International English Language Testing System) score of 5.5 or more and a TOEFL iBT (Test of English as a Foreign Language, Internet-Based Test) score of 80-110
- The documents required for admission to a master’s in data science in Germany in English include:
- Resume
- German student visa
- Passport
- Letters of recommendation (LOR)
- Statement of purpose (SOP)
Also Read: What You Must Know About the Best IT Universities in Germany
Job Opportunities After Graduation
Following are the popular job positions you can apply for after graduating:
- Data Analyst: Dives deeper into data, spotting trends and turning them into practical insights that help businesses make smarter decisions.
- Big Data Engineer: Builds and maintains systems that can handle huge volumes of data reliably and efficiently.
- AI Specialist: Includes cutting-edge AI (artificial intelligence) work, from natural language processing to robotics and automation.
- Database Administrator: Oversee databases running smoothly, making sure they are fast, secure, and trustworthy.
Pursuing a master’s in data science in Germany is great for your career growth because of numerous job opportunities, English-taught degrees, easy eligibility, and more. The study abroad loan by Avanse Financial Services bridges your academic aspirations and reality with 100% finance, repayment flexibility and quick sanctions.
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