MS in Data Science in Germany

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Study MS in Data Science in Germany for Free


MS in Data Science in GermanyMS in Data Science in Germany is one of the most in-demand fields today, with high salaries and plenty of job opportunities. Are you fascinated by the world of data science and looking to take your career to the next level? Then Germany is the place for you! With its cutting-edge research facilities, world-class universities, and a thriving job market, studying MS in Data Science in Germany could be just what you need to fulfill your dreams. Germany has established itself as a leader in the field. It offers a range of data science MS programs for professionals who want to expand their skill set. Added to this is the fact that you get to study free in Germany for ms in data science and many other programs. So if you're looking to learn data science in Germany, then you're in luck. This article will explain the key facts about data science MS programs available in Germany. In this blog post, we’ll delve into why studying Data Science in Germany is a smart choice, as well as explore some of the top universities offering this program. So, let's get started on an exciting journey through one of Europe's most dynamic countries! We will cover the benefits, jobs, and much more about admission to MS in data science in Germany. Read on to find out more!

Program MS in Data Science
Course duration 2 years
Language of Instruction English
Tuition Fees Free
Living cost in Germany 1000 EUR per month
Sessions 2 - Summer and Winter

Why Study MS in Data Science in Germany?


Here are six reasons why you should study masters in data science in Germany:

  • Excellent Universities: German universities are internationally renowned for their excellent teaching and research. Many German universities are ranked among the best in the world for their teaching and research in data science and related fields.

  • Scholarships: There are numerous scholarships available for international students wanting to study data science in Germany, making it more affordable to study here.

  • Experienced Faculty: The faculty at many well-known German universities come with decades of experience in the field of data science and information technology. This ensures that you will get the top most quality education possible and be prepared to excel in the future.

  • Job Prospects: Germany is a world leader in data science, and employers in this industry are always looking for eminent employees who can contribute to the growth of their company. Hence there is no shortage of job opportunities for postgraduates here.

  • Cultural Diversity: Germany is a popular country among students worldwide who dream of studying abroad. This means students get the opportunity to meet peers with different cultural beliefs and thought processes. This acts as one of the factors contributing to their evolution.

  • No Tuition Fee: German public universities do not charge any tuition fees to students, allowing students to get free study in Germany for MS in data science.

Eligibility Criteria


There are specific eligibility requirements that all students wanting to pursue a MS course from Germany have to fulfill. The eligibility list includes:

  • Pass certificate of the 12th examination compulsory for bachelor's and MS degrees.

  • A pass certificate of bachelor's Degree from a three years program is also essential for a MS course in Data Science from any German university.

  • The requirements of marks according to German universities are:

    1. Percentage: 70%

    2. CGPA: 8.5

  • English is the language that all the teachers of German universities use during the MS course. It is a requirement for all students to provide a result of their English proficiency test to prove their efficiency in the English language. If they take the IELTS exam, they must have a 7.5 score; if they take the TOEFL exam, they must have a 90% mark.

  • A letter of recommendation from the professors can also be effective.

Language of Instructions


The general language of instruction that the teachers of the German universities will use is English. Students who want to pursue a MS course in Data Science from any German university must provide effective details to prove their efficiency in English. The two options for them are:

  • Take the IELTS exam and score 7.5 to 8, proving their English proficiency.

  • Take the TOEFL exam and have a 90% mark to be eligible for a Masters course from a German university.

Intakes


German universities generally take application intakes every year. These are:

  • Mid-January: It is the deadline for the summer session, which is the most suitable for German students who have completed the bachelor's program at German universities.

  • July to August: It is the deadline for the winter intake, which is the perfect time for international students to apply after completing their graduation. International students must apply within the given deadline to make the application eligible.

A few private universities can also have a different session of intake that you can search on their website and find out.

Documents Required


If you want to take the MS course from any German university, there are specific documents that you have to submit. These are:

  • Results of the 12th Examination from a Recognized Board

  • Results of the Bachelor's Degree from any Recognized University

  • Recently Updated CV

  • Enrollment Certificates

  • Recommendation Letter from Professors or Principal (Highly Effective)

  • Statement of Purpose (Written Correctly)

  • English Proficiency Result: IELTS or TOEFL (Must)

  • Copy of the Application Form (Required)

  • Copy of the Application Fee Receipt

  • Copy of the Admission Fee Receipt Applicable after Selection)

  • Medical Statement and Details

  • Financial Reports from Recognized Institutions

  • Passport and IDs

Fees Structure


The public universities of Germany have lesser tuition fees compared to private Universities. A few Universities do not have a tuition fee, and you must pay the registration and administration fees. The details of the fee structure include:

University Fees Each Year
TU Dortmund EUR 15000 to EUR 16000
The Technical University of Munich EUR 310
Jacobs University EUR 600 to EUR 1200
Digital Master School EUR 5000 to EUR 15000 (Depending upon nationality)
Leuphana University of Lüneburg EUR 300 to EUR 600
EUR The University of Mannheim EUR 3000
Hochschule Darmstadt University of Applied Science NIL (Fees Only for MBA Programs)

Scholarships


There are a number of scholarships available for students wishing to study data science in Germany. You just need to check the eligibility for ms in data science in Germany.

Here's a list of the most prevalent scholarships:

  • DAAD Scholarships

  • Heinrich Boll Scholarships

  • Deutschland Stipendium Scholarships

  • Erasmus Scholarship

  • Friedrich Ebert Scholarships

  • Humboldt Research Scholarships

  • Masta Scholarship

Popular Universities to Study MS in Data Science


There are many universities in Germany that offer excellent programs for studying data science at the MS level. Some of the most popular ones include the following:

  • Technical University of Munich

  • TU Dortmund

  • Jacobs University

  • Leuphana University of Lüneburg

  • University of Mannheim

  • Hochschule Darmstadt University of Applied Sciences

  • Digital Master School

Admission Procedure


The students must follow a particular admission procedure to help them in their MS in data science course from German universities. These are:

  • Consult Anigdha: After you decide to study at a German university, you can consult our team members, who will effectively guide you in the entire admission process and how you can apply to your favorite University.

  • Finalize University: Search for the best universities in Germany with a MS in data science course and finalize the university appropriate for you regarding the eligibility requirement.

  • Prepare for Proficiency Test: All German universities will want you to give the IELTS or TOEFL exam result to prove your English proficiency. Start preparing for the examination immediately after your bachelor's program.

  • Visa: International students should apply for an educational visa after their selection at the university. The students should also have a passport.

If you face any challenges during the application process, you can immediately consult our team, who will help you with all your concerns and will solve your issues.

FAQs


Do masters of data science have a promising future?

 

Yes, the future of the data science field is very bright. As more and more companies are relying on data for a majority of purposes, the need for experienced data scientists is rising.

Is it tough to study MS in data science?

 

There is no doubt that data science is one of the most challenging and demanding fields of study out there. MS in data science programs are extremely intense and require a great deal of dedication and hard work. However, the rewards can be immense, both professionally and personally.

Do I need to learn coding for a data science degree?

 

Learning to code is essential if you want to have a successful career in data science. While it may seem daunting at first, there are many resources available to help you get started.

Can a non-IT student do data science?

 

The answer is yes – if they have the right skill set. Data science requires strong analytical and critical thinking skills, as well as the ability to use various tools and techniques. Non-IT students with these skills can definitely be successful in data science.

Is maths taught in MS data science?

 

Data science is a field that relies heavily on mathematical skills. As such, it is not surprising that maths is taught in data science courses. Indeed, many data science programs require students to have a strong background in mathematics.

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