- Why Pursue MS in Data Science in Germany?
- Mandatory Modules:
- Elective Modules:
- 2. Ludwig-Maximilians-Universität München
- 3. University of Europe for Applied Sciences
- 4. EU Business School
- 5. RWTH Aachen University
- 6. Freie University of Berlin
- 7. Universität Heidelberg
- 8. Hertie School
- 9. University of Mannheim
- 10. University of Göttingen's
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As data transforms every sector, earning a degree in Germany opens limitless opportunities. The employment of data scientists is projected to grow 35% from 2022 to 2032.
However, with numerous programs and universities, selecting the ideal data science master’s program in Germany can be challenging.
That’s why you should opt for the one that fits your academic background, offers access to top-notch research opportunities, and prepares you for a rewarding career.
You can tap into unparalleled job prospects in the thriving German leading companies like SAP, BASF, ABB, Roche, and Heidelberg Materials, driving innovation in analytics and technology across Europe.
This blog explores the top 10 Master of Data Science colleges in Germany, highlighting their unique features and strengths. By examining these programs, you can find the perfect fit for your career aspirations and academic goals
Read our “Salary After MS in Germany: Job Opportunities and Salaries in 2024“ blog to explore job opportunities and salary trends for 2024.
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Why Pursue MS in Data Science in Germany?
Are you considering pursuing MS in Data Science in Germany? Here are some compelling reasons to do so:
1. Secure and welcoming
Germany offers a multi-faceted environment and ranks as the third-best country globally for international students seeking settlement. It’s an ideal destination for postgraduate data science students to interact with diverse communities and enjoy their academic journey.
2. Cost-effective education
With numerous public universities providing tuition-free MS in data science in Germany programs, education is budget-friendly. Public universities in Germany do not impose tuition fees for master’s programs in data science.
Private universities have fees, scholarships, and fee waivers that make education financially accessible. The reasonable fee structure in Germany enables international students to fulfill their aspirations of studying abroad.
3. Reputable data science institutions
An MS degree in data science from a German university carries global recognition. There are several top-ranked universities such as the University of Europe for Applied Sciences, Universität Heidelberg, Ludwig-Maximilians-Universität München and more.
4. Part-time employment opportunities
Germany offers work permits to students enrolled in educational programs. International students can work for up to 20 hours per week or 120 days of part-time work throughout the year.
5. Valuable internships
German universities collaborate with global companies, regularly recruiting students for internships and industrial programs. It provides international students with valuable industry exposure alongside their academic studies.
6. Abundant career prospects
Germany boasts a dynamic global job market, hosting sectors such as technology, finance, manufacturing, IT, healthcare, and multinational corporations.
According to LinkedIn, the Data Science field is expected to generate 11.5 million job opportunities by 2026. This indicates that data science is a highly sought-after and employable sector.
Also, check out the blog “40 Interesting Facts About Germany” and learn why studying data science in Germany is a smart choice!
Data Science Course in Germany Curriculum
The data science program in Germany consists of mandatory modules, elective modules, and a capstone project.
Mandatory Modules:
- Machine Learning
- Statistical Data Analysis
- Bayesian Inference and Data Assimilation
- Data Infrastructures and Software Engineering
- Data Science and Business Analytics
- Applied Data Science
Elective Modules:
- Research module A or B
- Advanced Machine Learning
- Advanced Statistical Data Analysis
- Advanced-Data Assimilations and Modeling
- Advanced Infrastructures and Software Engineering
- Advanced Business Analytics and Applied Data Science
- Mathematical Foundations of Data Science
- Computer Engineering for Big Data
- Computational Foundations of Data Science
- Research Data Management, Law and Ethics
- Applied Data Science Internship
- Foundations of Computer Science
- Foundations of Stochastics
- Final Thesis
Also, check out our blog “Study Abroad: Germany Colleges, Eligibility & Scholarships” to learn about the best German colleges, eligibility requirements, and how to secure scholarships!
Top 10 Master of Data Science Colleges in Germany
Here are the top 10 colleges for Master Data Science in Germany:
1. Technical University of Munich (TUM)
At the Technical University of Munich (TUM), the “Big Data” programs focus on advancing fields like machine learning, autonomous vehicles, and biotechnology. Students learn modern computer science techniques to handle and analyze large datasets,
| university-type | Public |
| Program | M.Sc. Data Engineering and AnalyticsM.Sc. Mathematics in Data Science |
| Program Duration | 4 Semesters |
| Tuition Fees | 6000 euros per sem |
| Language of Instruction | English |
2. Ludwig-Maximilians-Universität München
LMU Munich is the first university in Germany to offer an elite graduate program in data science in English. The program includes essential courses on data security, data confidentiality, and data ethics.
| University Type | Public |
| Program Offered | M.Sc. Data Science |
| Program Duration | 4 Semesters |
| Fees | No tuition fee |
| Mode of Instruction | English |
3. University of Europe for Applied Sciences
At the University of Europe for Applied Sciences, there’s a high demand for skilled data scientists. This Master’s degree equips you with technical prowess in data analytics and machine learning.
| University Type | Private |
| Program Offered | M.Sc. Data Science |
| Program Duration | 2,3 or 4 Semesters |
| Fees | Non-UE €1,099 (monthly) |
| Mode of Instruction | English |
4. EU Business School
EU Business School’s M.Sc. in Data Science and Business Analytics equips students with hands-on skills in data science and analytics, using cutting-edge tools and applications for strategic business solutions.
| University Type | Private |
| Program Offered | M.Sc. Data Science and Business Analytics |
| Program Duration | Three terms/one year |
| Fees | €5200 per sem |
| Mode of Instruction | English |
5. RWTH Aachen University
RWTH Aachen University is considered the best public research university for data science in Germany. It is known for its interdisciplinary approach and modern data science methods.
| University Type | Private |
| Program Offered | M.Sc. Data Science |
| Program Duration | 4 semesters |
| Fees | No tuition fees |
| Mode of Instruction | English |
6. Freie University of Berlin
The Data Science program at Freie University of Berlin aims to equip students with specialized expertise in modern data analysis techniques across various application domains.
| University Type | Public |
| Program Offered | M.Sc. Data Science |
| Program Duration | 4 semesters |
| Fees | € 4,100 |
| Mode of Instruction | English |
7. Universität Heidelberg
The Data and Computer Sciences master’s program at Universität Heidelberg enhances students’ understanding of Computer Science concepts, models, and techniques. It teaches students advanced scientific and practical skills and enriches their expertise in the field.
| University Type | Public |
| Program Offered | M.Sc. Data and Computer Sciences |
| Program Duration | 4 semesters |
| Fees | EUR 1500 per |
| Mode of Instruction | English |
8. Hertie School
The Master of Data Science for Public Policy (MDS) program at Hertie School is a two-year intensive program that merges technical expertise with social science insights. Students develop advanced analytical skills to address complex policy challenges using AI and data science methodologies.
| University Type | Private |
| Program Offered | Master of Data Science for Public Policy |
| Program Duration | 4 semesters |
| Fees | 9,125 EUR |
| Mode of Instruction | English |
9. University of Mannheim
The University of Mannheim offers a highly esteemed data science in Germany program that integrates multiple disciplines. Renowned for its research excellence and global partnerships, it provides a platform for interdisciplinary learning and research collaboration.
| University Type | Public |
| Program Offered | Master of Data Science |
| Program Duration | 4 semesters |
| Semester Fees | 1,500 euros |
| Mode of Instruction | English |
10. University of Göttingen’s
The University of Göttingen’s Applied Data Science program teaches advanced techniques for handling large datasets and applying data science methods in various fields. The program focuses on research, ethics, and industry collaborations.
| University Type | Public university |
| Program Offered | Master’s in Applied Data Science |
| Program Duration | 4 Semesters |
| Average Tuition Fee | No tuition fee |
| Language of Instruction | English |
Also, check out our blog “Public vs Private Universities in Germany” to discover the key differences and find the right fit for your studies!
Required Documents for MS in Data Science in Germany
Here are the document requirements for applying to an MS in data science in Germany:
- SOP explaining the reasons for choosing the program and university.
- Résumé detailing academic and professional background.
- Essay of about 1,000 words on a specified topic.
- Analysis of Curriculum Form detailing previous academic curriculum.
- Bachelor’s Degree Certificate or Official Transcript of Records (translated if not in German or English).
- English language proficiency scores (e.g., IELTS).
- GRE or GATE Score (if applicable, for specific countries).
- Preliminary Documentation from uni-assist for non-EU/EEA Bachelor’s degree holders.
- APS Certificate for applicants from certain countries.
- Certificates of Professional Training or Additional Qualifications (optional).
- Recent passport-sized photograph.
- Copy of passport for identification.
Admission Process for Data Science in Germany
To complete the admission process, you should follow these steps:
- Begin by compiling a list of reputable universities offering data science programs in Germany and narrow down your choices.
- Visit the official websites of these universities to review their admission requirements thoroughly.
- Ensure that you meet the specified requirements.
- Pay the necessary application fees and complete the application form.
- Submit the required documents before the application deadline.
- If you receive an invitation, attend any university interviews as scheduled.
- Following the interview, await the admission letter and make arrangements for the required financial deposits for the university.
MS in Data Science in Germany Application Deadlines
- Universities typically have two admission cycles for MS in Data Science in Germany: Winter and Summer Semesters. The Winter Semester starts classes in September, while the Summer Semester begins in February.
- For the Winter Semester, applications usually open in mid-March and close by the end of May. The Summer intake application period starts around mid-October and closes by the end of November.
Career Opportunities After completing a Master in Data Science
The increasing amount of data collected with advancements in data mining and artificial intelligence methods has generated a growing interest in data-driven problem-solving within companies, government institutions, and research fields.
Here are some career options with the average salary offered:
| Career Option | Average Salary |
| Data Scientist | €56,409 |
| Machine Learning Engineer | €56,138 |
| Data Engineer | €58,976 |
| Business Intelligence Analyst | €48,521 |
| AI Research Scientist | €65,000 |
Also, check out our blog “Salary After MS in Germany: Job Opportunities and Salaries in 2024” to see what you can expect in terms of salary and job opportunities post-graduation!
How to choose MS in Data Science in Germany?
When choosing a data science course in Germany, consider the renowned educational system that offers top-notch education, excellent facilities, cultural diversity, and ample job prospects, all at affordable costs.
Once you’ve selected your desired university, explore the best options for your course. Assess factors like rankings, job opportunities, fees, curriculum, research prospects, and more to gauge the return on investment.
Also, consider your budget, location preferences, and alumni profiles to understand the career paths of graduates from your chosen university.
Also, check out “MS in Germany: A Guide for International Students” to uncover valuable tips and insights for making the most of your study experience in Germany!
Conclusion
As data science transforms industries globally, obtaining an MS in data science in Germany degree offers promising career pathways. Learn from machine learning and AI research experts at esteemed universities driving innovation in this advanced field. Develop specialized skills aligned with your interests, collaborate on practical projects, and unlock exceptional job opportunities in sectors seeking skilled data professionals.
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FAQs
Pursuing an MS in Data Science in Germany offers a secure and welcoming environment for international students, cost-effective education with tuition-free or affordable programs, access to reputable institutions with global recognition, part-time employment opportunities, valuable internships, and abundant career prospects in a dynamic job market.
The top 10 colleges for Master of Data Science in Germany include Technical University of Munich, Ludwig-Maximilians-Universität München, University of Europe for Applied Sciences, EU Business School, RWTH Aachen University, Freie University of Berlin, Universität Heidelberg, Hertie School, University of Mannheim, and University of Göttingen, each offering quality programs with diverse specializations and instructional modes.
The curriculum of a Data Science program in Germany typically consists of mandatory modules such as Machine Learning, Statistical Data Analysis, Data Infrastructures, and Business Analytics, along with elective modules covering advanced topics. Additionally, students often undertake a capstone project to apply their skills in real-world scenarios.
The admission requirements for an MS in Data Science in Germany typically include submitting documents such as a Statement of Purpose, Résumé, Bachelor’s Degree Certificate, English language proficiency scores, and GRE or GATE scores (if applicable). Additionally, applicants may need to provide other documents like Certificates of Professional Training and APS Certificates for certain countries.
To choose the right MS in Data Science program in Germany, consider factors such as the reputation of the educational system, job opportunities, fees, curriculum, research prospects, location preferences, and alums profiles. Assessing these factors will help you gauge the return on investment and select the program that best aligns with your goals and interests.
