Masters in Data Science in Germany – Eligibility & Universities

MS in Data Science in Germany

Data Science is an interdisciplinary subject, with its roots in mathematics, computer science, and statistics. With an application across fields such as natural science, engineering, and medical science among others, the scope of MS in Data Science in Germany has only increased manifold in the recent years. 

Germany features among the top three countries that are known for providing world-class opportunities in research. The country is the best center of learning for all who want to make a career in data science. There is a huge scope of the master’s in data science in Germany as the large organizations and conglomerates hire post-graduates from there regularly.

Thousands of data science graduates in Germany are placed every year at Apple, Microsoft, Deloitte, Infosys, HCL, and Barclays. Since the demand for graduates and postgraduates in data science is high, therefore, the salaries paid to them are the best in the industry.

MS in Data Science in Germany: Program Highlights 

  • It is a two-year program and is spread across four semesters in total. 
  • MS in Data Science in Germany fees at private universities will vary between 300 to 1000 Euros per semester. 
  • Both public and private universities offer the course. 
  • According to payscale, the average salary of a data scientist in Germany is Euro 56,000 annually. 
  • International students enrolled in the course can work part-time for 20 hours a week or 120 days around the year.
  • A post-study work permit of 18 months can be explored upon course completion. 

Read More: Study in Germany for free

MS in Data Science in Germany: Important Information

COURSE NAME

MASTER’S IN DATA SCIENCE

DURATION

4 semesters

ELIGIBILITY

Graduation with 65%

TEST SCORE

IELTS: 6.0 and above

TOEFL: 95 or above

FEES

PUBLIC: NO FEES

PRIVATE: 300- 1000 Euros (Per Semester)

INTAKE

Summer and Winter

Why Study MS in Data Science in Germany?

1. Safe and friendly

Germany is a multi-dimensional country, and it is the third-best country worldwide for international students to settle down. It is an ideal country for post-graduates in data science to meet people from various backgrounds and enjoy their stay. 

2. Affordable Education

With various public universities that offer free MS in Data Science courses, education in Germany is affordable. The public universities in Germany for master’s in data science do not charge any tuition fees. Private universities are not free, but scholarships and fee waivers do make education pocket friendly. The affordable fee structure in Germany helps in fulfilling the dreams of international aspirants to study abroad. 

3. Prestigious data science universities

An MS degree in data science from a German university holds a lot of value and is recognized globally by the tech giants, banking sectors, multinationals, conglomerates, and manufacturing industries. 

4. Lucrative internships

German universities are trying to work with global companies that regularly hire students for internships and industrial programs. This will offer international students the opportunity to gain industry exposure during the coursework. 

5. Part-time work opportunities

Settling down in a foreign land is expensive. However, Germany offers work permits to students enrolled in educational courses. International students can work up to 20 hours a week or 120 days of part-time employment around the year.

6. Plenty of career opportunities

Germany has a dynamic and global job market. It is home to global sectors of technology, banking, manufacturing, IT, healthcare, and global multinationals. By the year 2026, it has been said that there will be more than 11.6 million job openings in the data science domain. 

MS in Data Science in Germany: Eligibility

Every student aspiring to pursue an MS in data science in Germany must meet certain requirements before they can move forward with their application. 

The eligibility criteria are as follows-

  1. You should hold a bachelor’s degree in a relevant field with good academic credentials.
  2. You should meet specific eligibility criteria outlined by the university of your choice.
  3. You should have the required scores in your English language tests.
  4. Your application should be supported by letters of reference and your Statement of Purpose (SOP).
  5. If you have any work experience, it may give your application an advantage.
  6. Additionally, some universities outline country-specific requirements that you can follow depending on your home country.

Read More: Career in Data Science in Germany without Engineering

MS in Data Science in Germany: Documents Required 

The following documents must be submitted to secure your seat in the course: 

  1. A well-drafted and formatted cover letter
  2. Student visa
  3. An academic transcript with 65% marks in graduation in the equivalent stream from a reputed and recognized university. Only recognized university undergraduate degrees will be accepted. 10th and 12th markets will also be required. 
  4. 4. Score of GRE/GMAT
  5. IELTS score of  6.5+
  6. Copy of passport
  7. Proof of funding or scholarship
  8. Receipt of academic fees payment
  9. Financial proof
  10. Resume
  11. Duly-filled application form
  12. LORs
  13. Passport-sized photographs 

Recommended Read: Study MASTERS in Germany

Cost of Attendance: MS in Data Science in Germany

The cost of MS in data science in Germany is negligible in public universities and scholarships can make private universities affordable too. As compared to other European countries, Germany is very affordable in terms of education and living costs. Here’s a rough estimate of the cost involved in studying MS from Germany:  

Cost of Living in Germany

An international student will end up spending Euro 900-1,000 per month on living expenses. This will include accommodation costs, transport, food, and other utilities. 

Please note that the expenses will vary based on your lifestyle and the city of residence. 

Pre-arrival cost

The pre-arrival cost in Germany will come out to Euro 1,400 to 1,500. This will include visa charges, airfare, standardized examination fees,  and college application charges. 

Read More: Why study in Germany?

Top Universities in Germany for MS in Data Science

With a focus on making graduates industry-ready, the universities in Germany are known to have a curriculum that is deeply rooted in practical learning. A PG in Data Science is no exception. 

As we learn about the curriculum later, let us direct our attention to the best universities in Germany for MS in Data Science: 

University 

QS WUR 2023

Course 

Duration 

Tuition Fees (in Euro)

Technical University of Munich 

49

MSc Data Engineering & Analytics 

4 semesters 

138 per semester fee

Ludwig-Maximilians-Universität (LMU) Munich

59

MSc Data Science

4 semesters 

No tuition fee

Ruprecht-Karls-Universität Heidelberg

65

MSc Data and Computer Science

4 semesters 

172 per semester

Freie Universitaet Berlin

118

MSc Data Science

4 semesters

No tuition fee

RWTH Aachen University

147

MSc Data Science

4 semesters

No tuition Fee

Eberhard Karls Universität Tübingen

169

MSc Data Science in Business and Economics

4 semesters

1,500 per semester for non-EU students

University of Göttingen

215

MSc Applied Data Science 

4 semesters 

No tuition Fee

University of Mannheim

541-550

MSc Data Science

2 years 

1,500 per semester 


Curriculum

The core components of the course include Statistics, Informatics, Fundamentals of Data Science, Predictive Modeling, Data Ethics and Security, and Human Computation and Analytics, among others. 

The areas of specialization may include Econometrics, Data Science Project Management, Bayesian Inference, Statistical Machine Learning, and many more. 

The program also includes a thesis.

Read More: Germany study visa – all you need to know

Academic Cycle: Intakes & Deadlines 

The admissions in most German universities are carried out in two phases. This consists of applying online and then taking an oral interview. 

Admissions for an MS in Data Science in Germany are open in the Winter and Summer Semesters.  The classes for the Winter Semester begin in September. The Summer sessions start in February. 

The application window for the winter semester opens in the mid of March and usually closes by the end of May. Students can apply for the Summer intake somewhere in the mid of October, and the window for the same closes by November-end. 

Read More: Cost to study in Germany

Scholarships for MS in Data Science in Germany: 

Although public universities offer good quality education at a much lower cost, most private universities have relatively higher tuition fees. However, numerous scholarships are available for aspiring students wanting to pursue the MS course. 

Some of the most prominent scholarships offered to study in Germany are: 

DAAD Scholarship for Masters Studies

The scholarship is offered to students who wish to complete their postgraduate education in Germany. If shortlisted, the scholarship grants Euro 860 every month, travel allowance, payments towards health, accident, and personal liability insurance cover, and many other benefits. The scholarship is granted for a period of 10 to 24 months. 

Heinrich Boll Scholarships in Germany for International Students:

It is for masters of Ph.D. students. If selected, it grants €850 per month plus various individual allowances. It also covers tuition fees in certain cases. 

The Deutschlandstipendium at German Universities:

It is directed toward master’s and bachelor’s international students in Germany. It is granted for at least two semesters and can be extended for the entire course of study. Each scholar will receive €300 per month as part of the grant. 

Know More:

Scope of Master’s in Data Science in Germany: Job Prospects 

When we talk about job opportunities after MS in data science in Germany, it is important to acknowledge that Germany is one of the most promising technologies and software development countries. Here, job opportunities will include: 

Careers 

Average Annual Salary (in Euro)

Data Analyst

45,000

Business Analyst 

52,000

Business Intelligence Manager 

60,000

Statistician 

79,000

Data Modeler

54,000

 

FAQs:

Q1. Which are the best specializations in data science?

Data Science is a huge subject and there are various specializations available in German universities. Some of them are Advanced Machine Learning, Advanced SQL, Python, EDA, Machine Learning, Database, Advanced Visualization, and Advanced Business Solving.

Q2. What are the admission intakes at German universities?

German universities conduct admissions during the winter and summer seasons. There are two international intakes in an annual year.

Q3. What are the main job openings in data science in Germany?

Data Science is in huge demand in Germany. The most popular job openings are Data Scientists, Business Analysts, Data Analysts, Python Developers, AI Developers, Data Engineers, Business Intelligence Analysts, Marketing Analysts, SQL Developers, Quantitative Analysts, Operation Analysts, and Project Managers.

Q4. Is Germany good for MS in data science?

Germany has some of the highest-ranked universities in MS in data science. This makes it one of the best locations to pursue MS in data science. It is also the fourth-largest economy worldwide, so it offers many work opportunities to graduates.

Q5. Is GRE required for an MS in data science in Germany?

The requirements for MS in data science in Germany vary from university to university. However, most prestigious institutions mandate it for aspiring students to take the GRE. So, if you want to be accepted by one of the top German universities, you need to score at least 315.

Q6. What is a good GRE score for MS in data science?

Most universities in Germany require a GRE score of about 315. However, some universities may ask for a higher score based on the program’s average.

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