Data engineers and Data engineers are among the most popular jobs regarding demand, respect, salary, opportunities etc. 

Be it local, national and international companies in marketing, production, and logistics, data science is needed wherever large amounts of data have to be processed. 

Master in Data Science is a 2-year course in Germany taught in English, German or both of these languages. 

 This course helped in mastering extensive databases and distributed information systems responsible for IT security and applied data analytics for structured data. 

Consequently, people can use this structured data to make strategic decisions. 

Germany is one of the best countries in Europe to pursue a Master of Data Science for international students worldwide. 

Why study Master in Data Science in Germany?

• You can study this course for free or at minimal tuition fees (EUR 300 to 3,000 annually). 
• Many generous scholarships can help international students with living expenses. 
• The curriculum comprehends internships that can help you get experience in Germany. 
• The admission criteria to study Masters in Data Science in Germany are less demanding. 

Top Universities for Masters in Data Science in Germany

The Graduate Data Science courses offered by German Universities are taught in English. 

Top Data Science Universities in the USA

Masters of Data Science in Canada

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Similar Courses

• MSc in Statistics
• MSc Business Intelligence and Analytics
• Master of Science in Econometrics
• Master of Science in Mathematics
• Master of Science in Mathematics in Business and Economics
• MSc Data Analytics and Information Systems Management

Tuition Fees

For the programs taught in German, the tuition fees are free. For most English-led data science programs, only the semester fee is charged. 

What will you study? 

• Ethical Foundations of Data Science 
• Data Science in the Social Sciences 
• Data Science in the Life Sciences 
• Statistics for Data Science
• Machine Learning for Data Science
• Programming for Data Science
• Selected topics in Data Science Technologies 
• Data Science Databases 
• Artificial Intelligence
• Cognitive Neuroscience for Data Science
• Natural Language Processing
• Software Project Data Science

Admission Requirements for Master of Data Science in Germany

Application document checklist

• Application for Admission (upload - signed)
• Official Academic transcripts
• GRE/ GMAT Scores
• Proof of English Language Proficiency
• Complete and Current Résumé
• Letter of Recommendations (1-3)
• Letter of Motivation
• Essay
• Passport
• Academic documents of institutes attended before

University Entry Requirements

The Technical University of Munich- TUM School of Engineering and Design

• Course Name: Master of Science (MSc) in Data Engineering and Analytics
• IELTS Requirement: 
• TOEFL (Internet-based): 80
• IELTS: 6.5
• Academic Requirements: Applicants need bachelor's degrees in computer science, data science, mathematics, statistics etc., with a minimum GPA of 2.5. 
• GMAT Scores: A minimum of 600 or more. 

Technical University of Dortmund

• Course Name:  Master of Science in Data Science
• IELTS Requirement: 
• TOEFL (Internet based): 95
• TOEFL Computer Based: 243
• TOEFL Paper Based: 590
• IELTS: 7.0
• Academic Requirements: Applicants need bachelor's degrees in statistics, mathematics, computer science or related fields with a minimum final grade of 2.5 GPA. 
• GRE Scores: A minimum of 60 % in all section

University of Mannheim

• Course Name:  Master of Science in Data Science
• IELTS Requirement: 
• TOEFL (Internet based): 72
• IELTS: 6.0
• Academic Requirements: Applicants need bachelor's degrees in mathematics, informatics, or a related field with a minimum final grade of 2.5 GPA. 
• GMAT Scores: A minimum of 500 or equivalent GRE Scores.

Free University of Berlin

• Course Name:  Master of Science in Data Science (2 specialisations: Data Sciences in Life Science and Data Science Technologies)
• IELTS Requirement: 
• TOEFL (Internet-based): 80
• IELTS: 6.0
• Academic Requirements: Applicants need bachelor's degrees in mathematics, informatics, or a related field.

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Scholarships and Financial Aids

Even though the tuition fees for education in Germany are already lower than in most other countries (Sometimes, it is even free), it still offers various scholarships to international students through government and non-government scholarships. 

Some of the most popular scholarships offered by Germany are: 

1. DAAD Scholarship
2. Student Project Grant
3. RWTH International Academy Women in Engineering Scholarship
4. Development-Related Postgraduate Courses (EPOS) Scholarship
5. UDE scholarship
6. High Potential Student Grant
7. Surplace Funding for Master Degree Programme
8. Friedrich Ebert Foundation Scholarship
9. German Language Merit Scholarship

Among these scholarships, DAAD is Germany's most popular scholarship for graduate students. The value of the DAAD Scholarship is a monthly award of EUR 850,00 for Master students and EUR 1.200,00 for PhD students (beginning in September 2018).

This scholarship may also cover health insurance and travel allowance. 

To be eligible for DAAD Scholarship in Germany, applicants must fulfil the following criteria: 

• Apply to graduate programs in Germany
• A minimum of 2 years of post-study work experience in the relevant field. 
• A Minimum of 6.0 in IELTS, 550 in TOEFL Paper-based, 213 in TOEFL Computer-based and 80 in Internet-based. 
• Hand-signed CV
• Confirmation of employment and Professional Letter of Recommendation from employer
• German Language ability for programs in the German language.

Scope of Data Science in Germany

After graduating, you can expect to find jobs in research, consulting, IT security, systems design, telecommunication, manufacturing, healthcare, education, trade companies, finance firms, tech companies, utility companies and the data science industry.

Additionally, if students wish to, they can continue their education and pursue PhD in data science, thus making a pathway to a career in research. 

The most popular and regarded jobs this degree leads are data analysts and engineers. 

Some other jobs you can get after this course are: 

• Data Scientist
• Software Architect
• Consultant
• Entrepreneur
• Statistician
• Web Manager
• Artificial Intelligence and Machine Learning Specialist
• Data Analyst and Scientist
• Information Security Analyst
• Big Data Specialist
• Internet of Things Specialist