Applied Data Science Education in Germany: A Study of English-Taught Undergraduate and Graduate Programs

Discover why Germany is a top destination for international students wanting to study Data Science. From excellent English-taught programs and straightforward admissions to affordable living and promising career opportunities, this guide covers it all to help you make your decision.

Why Study Data Science in Germany? Key Benefits for International Students

Germany stands out as a premier destination for aspiring data scientists. First, its universities are world-renowned for rigorous academic standards and cutting-edge research. Institutions like the Technical University of Munich or the University of Heidelberg regularly rank among the top for computer science and data analytics, ensuring you benefit from a curriculum shaped by leading experts and real-world projects.

Beyond the classroom, Germany’s innovation ecosystem thrives on collaboration between academia and industry. Cities such as Berlin and Munich host tech hubs where startups, global corporations and research institutes converge. This environment means students can participate in hackathons, secure internships at firms like SAP or Siemens, and join incubators that transform ideas into startups.

Affordability also sets Germany apart. Most public universities charge minimal or no tuition fees for international students, reducing financial pressure. Living costs remain reasonable compared to other European capitals—monthly expenses typically range between €800 and €1,200, covering accommodation, transport and food. Generous public transport passes and subsidised student cafeterias further stretch your budget.

Finally, Germany offers a welcoming, multicultural environment. With a wide selection of English-taught Data Science programs and diverse student communities, you’ll build international networks while living in one of Europe’s most dynamic and safe countries. Whether you’re looking for academic excellence, career opportunities, or cultural exchange, studying Data Science in Germany is a powerful step toward a successful global career.

Visa Tip: International students must prove financial resources, usually via a blocked account. Services like Studely offer fast, student-friendly options.

Overview of English-Taught Programs in Applied Data Science

Germany offers a growing number of English-taught Bachelor’s and Master’s programs in Applied Data Science, designed to equip international students with practical skills and theoretical foundations in data analytics, machine learning, and AI. These programs are tailored to meet global industry demands while ensuring accessibility for__ non-German speakers__.

At the Bachelor’s level, students are introduced to core subjects such as programming, statistics, data management, and visualization. Programs often include project-based learning and opportunities to engage in internships or research during the final year. Some universities may offer interdisciplinary tracks combining data science with business, economics, or social sciences.

For those pursuing a Master’s degree, Applied Data Science programs dive deeper into advanced topics like deep learning, big data infrastructure, cloud computing, and data ethics. Many Master’s programs include a strong research component, collaborations with tech companies, and flexible options for part-time study or thesis work in industry.

Top universities offering English-taught programs include:

• Technical University of Munich (TUM)
• University of Potsdam
• University of Hildesheim
• Jacobs University Bremen
• HTW Berlin (University of Applied Sciences)

Whether you’re looking to build a strong foundation or specialize further in a particular domain, Germany’s English-taught programs in Applied Data Science provide a clear path to a global tech career.

Admission Requirements for International Students

Applying to a Bachelor’s or Master’s program in Applied Data Science in Germany involves several steps. While specific requirements vary by university, most institutions follow a similar admissions process for international students.

For Bachelor’s Programs:

• A recognized secondary school diploma (equivalent to German Abitur)
• Proof of English language proficiency (e.g. IELTS, TOEFL, or equivalent)
• A strong academic background in mathematics and/or computer science
• Motivation letter and sometimes a CV

For Master’s Programs:

• A relevant Bachelor’s degree (in data science, computer science, mathematics, or a related field)
• Academic transcripts
• English proficiency test scores (usually IELTS 6.5+ or TOEFL 90+)
• Motivation letter, CV, and often letters of recommendation
• In some cases, a portfolio of academic projects or a written statement of purpose

Living Costs, Funding Options & Career Prospects in Germany

Germany offers international students a unique combination of affordable living and high-quality education. On average, monthly expenses range from €800 to €900 for rent in a student flat, €200 to €250 for food, and €30 to €50 for a semester public transport pass. Most public universities charge only a semester contribution—typically €200 to €350—which covers admin fees and often includes transport.

Visa Tip: International students must prove financial resources (~€11,208/year), usually via a blocked account. Services like Studely offer fast, student-friendly options.

Funding Your Studies in Germany
Even though most programs are tuition-free, you’ll still need to budget for living expenses. Thankfully, several funding options are available:

• DAAD and Erasmus+ scholarships (competitive, but prestigious)
• University-specific and private foundation scholarships
• Studely Scholarship Program: Open to all students, this initiative awards a total of €30,000, distributed as €1,000 each to 30 selected students.

Submit your application here

Career Opportunities After Graduation
Germany’s tech sector offers strong career prospects for data science graduates. Cities like Berlin, Munich, and Hamburg are known for their vibrant ecosystems of AI startups, global corporations, and innovation hubs.

• Entry-level salaries range from €50,000 to €60,000 per year
• High demand in AI, machine learning, big data, and cloud infrastructure
• Many internships turn into full-time roles
• Graduates benefit from an 18-month job seeker visa to find employment in Germany