Masters in Data Science in Germany: Top Colleges, Eligibility

In Germany, master’s degrees in data science teach students about big data analysis, machine learning, cloud computing, mining, programming, data visualisation, hacking, and statistics in depth. The course also covers machine learning principles, understanding hidden patterns in raw data, and segmentation.

 In Germany, a master’s degree in data science is a 1.5 to 2 year programme offered by well-known, reputable, and elite universities. The Technical University of Munich, Ludwig Maximilian University of Munich, Technical University of Dortmund, and other top-ranked and best colleges in Germany for Masters in Data Science include the Technical University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, Ludwig Maximilian University of Munich, The top Data Science colleges in Germany in the public category provide tuition-free education, whilst the average tuition fees for a Master’s in Data Science are around $50,000.

Students interested in pursuing a Masters in Data Science in Germany must meet the course’s eligibility requirements. A bachelor’s degree in a related discipline of study, such as mathematics, physics, statistics, computer science, or economics, is required. Aside from academic qualifications, applicants must pass any entrance exam such as the GRE or GMAT, as well as have a valid score on any English language test (IELTS, TOEFL, etc.). In addition, all necessary documents must be present, such as a VISA, passport, letter of recommendation, and so on.

In Germany, a master’s degree in data science can lead to a wide range of professional prospects and a long career path. Several of Germany’s best Masters in Data Science programmes also provide students with internship possibilities after they complete their studies. Candidates can work with top-tier MNCs such as Accenture, IBM, Oracle, Bank of America, Walmart, Apple, and others as data scientists, data analysts, and data engineers. The average income at the outset of a career might range between INR 40 LPA and INR 60 LPA, depending on experience and expertise in the industry.

Masters in Data Science in Germany Top Colleges

University NameUniversity Name QS Ranking 20222022Average Fees (USD/year)SD/year)
Technical University of Munich, Munich50144
Ruprecht-Karls-Universität Heidelberg, Hiedelberg63382
Ludwig-Maximilians-Universität München, Munich64287
Universit University Namey Name Acceptance Rate MSeptance Rate MSAverage Fees in IN Average Fees in INRR
Technical University of Munich, Munich0.0810737
Ruprecht-Karls-Universität Heidelberg, Heidelberg0.1728484
Ludwig-Maximilians-Universität München, Munich0.121400
Freie Universitaet Berlin, Berlin0.15657237
Humboldt-Universität zu Berlin, Berlin0.18NA
KIT, Karlsruhe Institute of Technology, Karlsruhe20-30%2,46,072 - 14,32,441
Technische Universität Berlin (TU Berlin), Berlin0.08970058
RWTH Aachen University, Aachen0.11910962
Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau0.64215187
IU International University of Applied Sciences70-80%1240000
Freie Universitaet Berlin, Berlin1278814
Humboldt-Universität zu Berlin, Berlin128NA
KIT, Karlsruhe Institute of Technology, Karlsruhe1363,330 - 19,210
Technische Universität Berlin (TU Berlin), Berlin15913010
RWTH Aachen University, Aachen16525629
Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau1722886
Eberhard Karls Universität Tübingen, Tübingen1773330

Rate of Acceptance

Some of the top colleges in Germany that offer Masters in Data Science, as well as their acceptance rate for MS in Data Science in Germany and typical annual costs, are included below:

Masters in Data Science in Germany (Admission Process)

The majority of universities in the United States are classified as either public or private. The main distinction is that one is supported by the government (public), while the other is not (private). Although the admission criteria are less stringent than in public schools, the acceptance rate in private schools is substantially greater than in public schools

Admission to German colleges that offer Masters in Data Science is based on merit as well as the candidates’ performance on entrance exams such as the GRE, GMAT, and others. To be considered for admission, one must meet the eligibility standards and have all of the relevant documentation. Aside from academic qualifications, applicants must also achieve a good score or band on any English Language proficiency test, such as the IELTS or TOEFL, and may be required to participate in group discussions or personal interviews.

Because most public universities in Germany have rigorous academic criteria, applicants must have a good academic background to be admitted to the best institutions. Summer and winter admissions cycles are common at Germany’s top data science colleges. For the Masters in Data Science in Germany, the acceptable exams differ from one university to the next. Even if all of the standards are not completed, private universities are more likely to admit students, and private colleges are easier to get into than public colleges.

Eligibility Criteria

  • Candidates seeking admission to German colleges offering master’s degrees in data science must meet all of the following eligibility requirements:
  • To be eligible for a Masters in Data Science in Germany, candidates must have completed their bachelor’s degree with a minimum aggregate of 60 – 80 percent or higher.
  • A bachelor’s degree in any relevant area, such as statistics, mathematics, computer science, or economics, must be obtained from a recognised university.
  • Candidates must additionally pass an entrance exam such as the GRE or GMAT with a score of 500, as well as a valid score on an English Proficiency Test such as the TOEFL or IELTS with a score of 6.5 to 8.
  • One must also meet the document criteria and have all relevant documents on hand, such as a letter of recommendation, a VISA, a passport, bank statements, and so on.
  • Some of Germany’s best master’s colleges may require work experience in a related profession in addition to a master’s degree in data science.
Name of the College/ Universityllege/ UniversityElig Eligibility Criteriaibility CriteriaAdm Admission procedureission procedure
Free University of BerlinUndergraduate Degree CertificateLetter of recommendation
University of MannheimBachelor’s degree in relevant fieldUG with a minimum of 48 ECTS points in the field of mathematics, informatics, and statistics
Technical University Of DortmundB.Sc. in Statistics, Mathematics, Computer Science, or related fieldsMerit based
RWTH AachenBachelors in STEM fieldWork experience in preferred
University Of MagdeburgBachelor in Computer Science or related field.66-80%
Technical University Of MunichBachelors in stats/informatics/ related disciplineEntrance assessment for master’s program
Ludwig Maximilian University of MunichBachelor’s degree in relevant fieldAcademic excellence, official test scores

Requirements

International students who wish to study abroad must submit a variety of documentation with their applications. Before applying to any master’s programme, it is necessary to have a thorough understanding of the documentation requirements for admission.

For your convenience, some of the required documentation for pursuing a Masters in Data Science in Germany are listed below:

  • Certificates/marksheets/academic documents from prior universities are included in the transcript.
  • Language proficiency must be demonstrated.
  • a referral letter
  • papers related to health insurance
  • Experiential Learning
  • You may be asked to provide additional documentation by some universities. These can be SOPs, CVs, and so on.

Germany Study Visa

A Germany Pursue Visa is required for anyone wishing to study Masters in Data Science in Germany. The Germany study visa is originally valid for three months, however it can be renewed for another six months once you arrive. The processing of the Visa can take anywhere from 25 days to 3 months, depending on the country and the German consulate, thus candidates should apply for a Germany study visa before 4-5 months.

Students interested in pursuing a Master’s degree in Data Science in Germany should conduct research and have a thorough understanding of how to choose the right college for them, the admissions process, and the necessary documents to bring with them on their journey from their home country to Germany.

Who is eligible to apply?

Anyone who fits the aforementioned conditions and has all of the required documentation can apply for a Germany Study Visa. Candidates who want to study in Germany must meet all of the requirements and have a thorough understanding of how to apply and what documents are required, among other things. The following are some of the most crucial paperwork and other requirements for international students:

  • Form for applying for a national visa that is completely filled out and signed.
  • A valid national passport is required.
  • Certificate of Birth
  • Photographs taken recently in the style of a passport
  • Financial Resources Proof
  • Proof of Student Health Insurance for University Admission.
  • Qualification for university admission.
  • Language Proficiency Certificate in German or English.
  • a letter of acceptance from a German university
  • Academic record transcript
  • Declaration of the genuineness of the papers that have been presented
  • Proof of not having a criminal record and/or being free of certain diseases may also be required.

Masters in Data Science in Germany Fees

An international student considering pursuing a Masters in Data Science in Germany should be aware of the costs associated with doing so. These costs can be divided into three categories: pre-arrival expenses, study costs, and cost of living in Germany. Although the German government gives financial assistance to exceptional international students through a variety of scholarships and internships, students must prepare ahead of time for their studies in Germany and gain a thorough understanding of the varied costs.

Cost of Study

The average cost of a two-year Masters in Data Science programme in Germany can range from $250 to $19,201 USD, or INR 21,026 to 14,32,441. The following is a list of the tuition fees or costs of education for Data Science at some of Germany’s leading universities: (USD/year)

University NameUniversity NameAverage Annual Fe Average Annual Feeses
Technical University of Munich, MunichUSD -144
INR -10,737
Ruprecht-Karls-Universität Heidelberg, HeidelbergUSD -382
INR -28,484
Ludwig-Maximilians-Universität München, MunichUSD -287
INR -21,400
Freie Universitaet Berlin, BerlinUSD -8814
INR -6,57,237
Humboldt-Universität zu Berlin, BerlinUSD - INR -
KIT, Karlsruhe Institute of Technology, KarlsruheUSD -3,330 - 19,210
INR -2,46,072 - 14,32,441
Technische Universität Berlin (TU Berlin), BerlinUSD -13,010
INR -9,70,058
RWTH Aachen University, AachenUSD -25,629
INR -19,10,962
Albert-Ludwigs-Universität Freiburg, Freiburg im BreisgauUSD -2,886
INR -2,15,187
Eberhard Karls Universität Tübingen, TübingenUSD -3,330
INR -12,40,000

Masters in Data Science in Germany Scholarships

International scholarships are available in Germany for both graduate and undergraduate students. The various scholarships are awarded depending on the candidates’ performance and eligibility conditions. These scholarships assist students in covering their living and food expenses while in Germany. Aside from that, a number of top Data Science universities in Germany provide a variety of internship possibilities to assist international students financially.

There are a variety of scholarships available to international students in Germany, the majority of which are fully sponsored by government foundations, but some are also granted by non-government organisations. Some of the scholarships also pay the students’ travel expenses. Some of the popular Masters in Data Science in Germany include the DAAD, Heinrich Boll Foundation Scholarships, and RISE Germany.

Germany Work Visa

If one wishes to stay in Germany and work after completing their Masters in Data Science in Germany, they must first obtain a Germany Work Visa. Students’ student visas expire when they complete a Masters in Data Science in Germany; however, after getting a German university degree, they can extend for 6 to 18 months. Candidates interested in working in Germany after completing a Masters in Data Science must apply for a work permit before their visa expires; otherwise, they must return to their home country.

If you want to stay in Germany permanently after completing a Masters in Data Science, you can apply for the EU Blue Card if you match the eligibility conditions. While a German Residence Permit for two years is available, which allows them to work for two years, it can be extended as many times as they choose as long as they retain their working status after completing their Masters in Data Science in Germany. Some of the prerequisites for obtaining a work

  • Proof of completing a Master’s degree in Data Science in Germany (i.e. university degree)
  • Evidence of medical insurance coverage
  • Proof of sufficient financial resources to support your living expenses
  • According to the Common European Framework of References for Languages, proof of sufficient understanding of the German language – level B1 – is necessary (CEFR)
  • Proof of a work contract in Germany (i.e. working certificate etc.)

Frequently Asked Questions

Q. Is data science in demand in Germany?

Ans . Germany is one of the greatest places to study data science, and demand for data scientists is rising not only in Germany but throughout the world. When it comes to business digitization and data science, Germany is one of the most developed countries. Germany has a significant demand for Data Science and related subjects, as well as a large number of job openings. In addition, Germany has a number of renowned colleges that offer master’s degrees in data science.

Q. Which university is best for MS in data science in Germany?

Ans. TUM, or Technical University of Munich, is regarded as one of Germany’s best master’s programmes in data science. QS World University Rankings has it placed 50th among the top universities in the world. The average cost of a master’s degree in data science at the Technical University of Munich in Germany is between INR 10,000 and INR 12,000.

Q. Is data science a good career in Germany?

Ans . Yes, in Germany, a master’s degree in data science is regarded as one of the top career alternatives in terms of scope, salary, and job prospects. Following the MS in Data Science competition in Germany, one may easily advance their career as a Data scientist, Data analyst, Data engineer, and so on, and find lucrative and well-paid employment prospects in top-tier MNCs such as Accenture, IBM, Oracle, Bank of America, Walmart, Apple, and so on.

Q. Is MS in Germany free?

Ans. In Germany, master’s degrees are free at public universities. Pursuing a master’s degree in any field in Germany can be free at state schools/universities, however the average tuition expenses for a master’s degree in Germany at private colleges can range from INR 2,00,000 to INR 14,00,000. In Germany, the majority of public colleges offer a variety of data science courses at extremely cheap or no cost.

Q. Is Germany good for Indian students?

Ans. Germany is well-known as a haven for international students seeking higher education, and it is one of the top countries for Indian students seeking master’s degrees. Germany is home to some of the world’s best universities. Top German universities provide high-quality education, excellent facilities, highly skilled and experienced teachers, and excellent job chances. Germany is one of the best places to study in the world. In Germany, there are various universities that offer data science courses.

Q. How can I do MS in Data Science in Germany?

Ans Candidates interested in pursuing a Masters in Data Science in Germany must first locate and investigate a suitable college, as well as meet the course’s qualifying requirements. A bachelor’s degree in a related field of science, such as mathematics, computer science, or economics, is required. Aside from academic qualifications, applicants must pass any entrance exam such as the GRE or GMAT, as well as have a valid score on any English language test (IELTS, TOEFL, etc.). In addition, all necessary documents must be present, such as a VISA, passport, letter of recommendation, and so on.

Q. Is it compulsory to know German to study in Germany?

Ans. No, knowing German is not required to study in Germany. Candidates interested in pursuing a master’s degree in data science in Germany are not required to learn German, but they must be fluent in English. Students must also have a valid score or band on any English Language Proficiency Test (IELTS, TOEFL, etc.). In IELTS, a score of 6.5 is required, whereas in TOEFL, a score of 70 to 80 is required.

Q. How many years is MS in Data Science in Germany?

Ans . Masters in Data Science in Germany is a 1.5 to 2 year programme offered by Germany’s most prominent, prestigious, and top MS in Data Science universities. In Germany, a master’s degree in data science focuses on machine learning concepts, understanding hidden patterns in raw data, and segmentation. The majority of data science courses in Germany (MS in Germany) are typically offered over a two-year period.

Q. Is Germany expensive for Indian students?

Ans No, studying in Germany is not prohibitively expensive for Indian students. Data science courses in Germany are available at very little or no cost at the best master’s colleges in Germany. Several scholarships are available to Indian and other international students at public colleges that are among Germany’s top MS Data Science colleges. To study in Germany, students only need to fund their food and living expenses.

Q. Which are the top 10 MS in Data Science in Germany colleges?

Ans. Some of the colleges which are ranked among the top 10 MS in Data Science in Germany are listed below:

  • Technical University of Munich, Munich
  • Ruprecht-Karls-Universität Heidelberg, Heidelberg
  • Ludwig-Maximilians-Universität München, Munich
  • Freie Universitaet Berlin, Berlin
  • Humboldt-Universität zu Berlin, Berlin
  • KIT, Karlsruhe Institute of Technology, Karlsruhe
  • Technische Universität Berlin (TU Berlin), Berlin
  • RWTH Aachen University, Aachen
  • Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau
  • Eberhard Karls Universität Tübingen, Tübingen

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