Masters in Data Science in Germany

Masters in Data Science in Germany

Masters in Data Science in Germany
Tn AryalSun Nov 28 2021

Data engineers and Data engineers are among the most popular jobs these days with regards to demand, respect, salary, opportunities etc. 

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

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

 This course helps in mastering very large databases and distributed information systems responsible for IT security and applied data analytics for structuring data. 

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

Germany is one of the best countries in Europe to pursue a Master of Data Sciences for international students across the world. 

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 per year). 
  • There are many generous scholarships that 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 listed below offered by German Universities are taught in English. 

Universities

Courses

Technical University of Munich

Master of Science (MSc) in Data Engineering and Analytics

Mathematics in Data Science- Master of Science (MSc)

Technical University of Dortmund

Master in Data Science

University of Mannheim

Masters in Data Science

Free University of Berlin

MSc in Data Science

MSc in Mathematics

MSc in Computational Sciences

Ludwig Maximilian University of Munich

Master of Data Science

University Of Magdeburg

Master of Data and Knowledge Engineering

Jacobs University

Master of Science in Data Engineering

University of Hildesheimeim

Master’s Program in Data Analytics

Leuphana University of Lüneburg

MSc IN Management and Data Science

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 of the English led data science programs, the only semester fee is charged. 

University 

Annual tuition fees (EUR)

Technical University of Munich

No tuition fees (Semester fees: 147)

University of Mannheim

3,000 (1500 per semester)

Free University of Berlin

No tuition fees (semester fees charged)

RWTH Aachen

3000 (1500 per semester)

University Of Magdeburg

No tuition fees (semester fees charged)

Ludwig Maximilian University of Munich

No tuition fees (semester fees 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 to hold bachelor 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 to hold bachelor 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 to hold bachelor 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 to hold bachelor degrees in mathematics, informatics, or a related field.

Scholarships and Financial Aids

Despite the fact that the tuition fees for education in Germany is already lower than in most other countries (Sometimes, it is even free), it still offers various scholarships to international students in the form of 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 the most popular scholarship offered for graduate students in Germany. The value of the DAAD Scholarship is a monthly award of EUR 850,00 for Master students, EUR 1.200,00 for PhD students (beginning with September 2018).

This scholarship may also cover health insurance, 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 data science in industry.

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

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

Data Science jobs in Germany

Salary Range (EUR/year)

Data Analyst

40,000-99,000 

Software Engineer

35,000-111,000 

Software Developer

30,000-99,000 

Senior Data Analyst

71,000-123,000 

Business Analyst 

57,000-111,000 

Senior Data Scientist

71,000-123,000 

Senior Software Engineer/Developer/Engineer

77,000-134,000 

Senior Software Engineer

81,000-140,000 

Data Engineer

61,000-134,000 

Software Engineer/Developer/Programmer

51,000-104,000 

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

 

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