Study Applied Data Science in Germany: 95 Study Programs in English

Are you fascinated by data and its power to shape the future? Do you dream of making data-driven decisions in fields like healthcare, neuroscience, or business? Then studying Applied Data Science in Germany could be the perfect path for you. Germany offers top-tier education, affordable living, and tuition-free public universities—all within a global hub of innovation.

In this article, we’ll guide you through everything you need to know about pursuing a data science programme in Germany as an international student.

Why Study Applied Data Science in Germany as an International Student?

• Tuition-free education at many public universities.

• Study Applied Data Science entirely in the English language, ideal for international students.

• Strong focus on real-world applications and automated data-driven decision-making.

• Access to cutting-edge research in neuroscience, bioinformatics, and medical data.

• Opportunities to participate in scientific research projects autonomously.

• High demand for data scientists in Germany’s booming tech and industrial sectors.

• Exposure to interdisciplinary fields like computational neuroscience, bioinformatics, and medical data science.

• Strong academic foundations in mathematics, statistics, and computer science.

• Emphasis on ethical impacts of collecting and using data.

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Applied Data Science Studies in Germany in English

95

Int. Study Programs

58

Universities

45

Cities

View all courses

Germany recognizes the importance of making education accessible to global talent. That’s why many Applied Data Science study programs are offered entirely in English. These programs:

• Attract students from all over the world, creating an international classroom environment.

• Focus on hands-on learning and real-world challenges.

• Help you understand how to apply data science methods in an application domain.

• Often include internship opportunities and research projects with industry or academia.

Studying in English in Germany not only broadens your career prospects but also enhances your global communication skills vital for any data scientist.

Applied Data Science Studies in Germany in English

If you're an international student concerned about language barriers, you’ll be pleased to know that many American Studies programmes in Germany are taught in English. These English language courses cover a broad range of topics such as:

• American literature and culture

• U.S. political systems and history

• Media studies and film

• Globalization and transatlantic relations

Choosing an English-language degree programme allows you to engage deeply with content without needing to master the German language. However, basic German skills can still help with daily life and part-time job opportunities.

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Best Universities and Applied Data Science Schools in Germany

Study in Germany: Applied Data Science Course and Degrees

Germany offers a variety of degree levels in Applied Data Science:

Bachelor’s in Applied Data Science

Although more common at the Master’s level, a few universities offer undergraduate degrees in Applied Data Science. These are often interdisciplinary and combine:

• Mathematics, statistics, and computer science.

• Practical training in data analysis, machine learning, and programming.

• Focus areas like medical data, bioinformatics, or computational neuroscience.

• Language of instruction: English or German (some fully in English).

Admission Requirements:

• High school diploma or equivalent.

• Proof of English proficiency (TOEFL, IELTS).

• Strong background in math and basic programming knowledge.

Career Prospects:

• Junior data scientist, data analyst, or research assistant roles.

• Positions in tech companies, research labs, or public institutions.

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Master’s in Applied Data Science

Most Applied Data Science programmes in Germany are at the Master’s level and designed for students with a Bachelor’s in a related field.

Program Highlights:

• Specialization in automated data-driven decision systems.

• Courses that teach you to understand how to apply these methods in an application domain.

• Electives in neuroscience, bioinformatics, or medical data science.

• Training in key mathematical and statistical concepts and ethical impacts of collecting and processing data.

Research Opportunities:

• Many programs include a semester-long research project.

• Opportunities to work on scientific research projects autonomously.

• Collaboration with industry or academic labs.

Career Outlook:

• Roles as a data scientist, machine learning engineer, or research scientist.

• High employability in healthcare, AI, business intelligence, and bioinformatics.

Applied Data Science-Related Studies in Germany

If you're passionate about data but want to explore different angles or broaden your expertise, there are several related fields in Germany that complement or overlap with Applied Data Science. These programs also emphasize analytical thinking, technical skills, and practical problem-solving and can lead to equally exciting careers in tech, healthcare, and scientific research.

Computer Science

Focus:

• Algorithms, software engineering, artificial intelligence.

• Development of robust software systems and computational frameworks.
  

• Career: Software developer, AI engineer, IT consultant, systems architect.

Bioinformatics

Focus:

• Data analysis in biology and medicine, genomics, and systems biology.

• Application of data science techniques to biological datasets.
  

• Career: Bioinformatician, biomedical data analyst, research scientist, pharmaceutical data specialist.

Computational Neuroscience

Focus:

• Brain modeling, neural data interpretation, cognitive systems.

• Use of mathematical and computational tools to study the nervous system.
  

• Career: Neuroscience researcher, machine learning specialist in healthcare, cognitive AI developer.

Statistics

Focus:

• Probability theory, predictive modeling, applied statistics.

• Quantitative reasoning and data interpretation across industries.
  

• Career: Statistician, data analyst, actuarial scientist, market research specialist.

These related fields share many foundational skills with Applied Data Science and often involve collaboration across disciplines. Choosing one of these paths can still lead you to a fulfilling, data-driven career with diverse applications.

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