Masters in Data Science in Germany: Simply put, Data Science is the study of data that has been derived from combining knowledge of mathematics, programming skills and domain expertise to extract meaningful insights from data. The study of Data Science includes cleansing, aggregating, and manipulating the data to perform advanced data analysis. For example, online platforms like Instagram, Facebook and YouTube use specific algorithms to have a better picture of user activity and provide viewers with relevant content.
Masters in Data Science in Germany is a two-year master’s programme for advanced candidates who have a Bachelor's in Computer Science, Statistics, Economics, Engineering degree or an equivalent degree in a similar field. While public universities in Germany do not charge a tuition fee, however, candidates are required to pay a semester fee, ranging from €150 - €300, which has to be paid at the start of each semester, the cost of studying MS in Data Science in Germany across private universities start at €11,000 and can go up to €17,000 for a year. Successful graduates after completing their Masters in Data Science course can expect a starting remuneration of €48,000euros - €66,000euros annually. And this would increase with time and added skills and expertise in the trade. Read on as we discuss pursuing Masters in Data Science in Germany, in detail.
Related Reads
Updates on similar topics are just a click away! Subscribe to curated alerts
Why Study Masters in Data Science in Germany?
Germany with its state of the art universities complete with modern amenities has proved itself to be a leader in the field of data study. Students looking for top reasons to study MS in Data Science in Germany include:
- Low tuition fee
- Low cost of living
- State of the art universities that combine knowledge with practical training
- 18 month stay back period
- Candidates are allowed to work a total of 120 full or 240 half days per year
- Merit-based scholarships
Top Universities for MS in Data Science in Germany
Often time’s candidates are confused about the popular Master’s in Data Science universities in Germany. For the benefit of our readers, we have provided a list of the best Data Science universities in Germany for Indian students.
Best Masters in Data Science Universities in Germany
| University in Germany |
Data Science Course in Germany |
First-Year Tuition Fees / Semester Fees |
|---|---|---|
| Master in Data Science |
INR 2,58,810 |
|
| Master of Science (M.Sc.) in Data Engineering and Analytics |
INR 10,332 |
|
| Master of Science in Data Analytics and Decision Science (DDS) |
No tuition fee, only semester fee. |
|
| MSc Data Analytics |
INR 10,35,240 |
|
| MSc Data Analytics and Marketing |
NR 12,94,050 |
|
| MS in Statistics and Data Science |
No tuition fee, only semester fee. |
source: https://studyabroad.shiksha.com/
Eligibility for Masters in Data Science Germany
In this section, we are going to be talking about the eligibility criteria for Indian students looking to pursue MS in Data Science in Germany. Candidates looking to apply for Masters in Data Science in Germany must have a recognized undergraduate, Bachelors in Computer Science, Statistics, Economics, Engineering degree or an equivalent degree in a similar field. Preferable with a GPA of 3.0 and above.
Many technical universities could require students to complete an internship as part of the eligibility process. However, this is on a case by case basis and not relevant for all universities in Germany. Candidates should keep in mind that admission to Data Science universities in Germany is competitive due to the high quality of education. Hence, candidates should work towards building their academic profile to assure themselves of a seat at a top German university.
Masters in Data Science Germany: How to apply?
Universities in Germany either have rolling admissions or fixed admission deadlines. Candidates are required to check the university website or get in touch with our Shiksha Counselling Services to know about the admission process to German Universities. However, candidates applying to mechanical universities or any universities in Germany or abroad are advised to apply early as there are many elements attached to the application process. Getting your academic profile ready, credentials in order, finances, scholarships and English proficiency tests are a few of the entails that are part of the admission process.
When to Apply?
Universities in Germany have rolling admissions or fixed admission deadlines. Read: Admission Deadlines for German Universities
Documents Required
- CV
- Copy of certificate as well as grades of all lectures in the pre-study
- Motivation letters [Statement of Purpose (SOP) / What is a Letter of Recommendation (LOR)]
- Admission Essays
- GRE or GMAT scores (optional)
- Proof of German language skills (optional)
English language Tests (optional)
Cost of Studying Masters in Data Science in Germany?
Cost of studying MS in Data Science in Germany: As informed earlier, public universities in Germany do not require students to pay tuition fees, however, they are required to pay a semester fee at the start of every year, which is generally between €150 - €300. However, the cost of studying MS in Data Science in Germany across private universities start at €11,000 and go up to €17,000 for a year.
Cost of Living in Germany: Candidates looking to live in Germany are required to open a Blocked Account. The Blocked Account has the required living expense for a student. This amount is decided by the government in Germany. As of January 1, 2021, keeping the rate of inflation in mind, the mandatory amount required in the Block Account for studying in Germany is €10,332 for an entire year or €861 for a month. Candidates would have to keep a little more than the said amount as the bank could levy a service charge on the student opening a Blocked Account in Germany.
Also, Read
Scholarships to study Masters in Data Science in Germany
All German universities recognize talent and they value this talent by providing merit-based scholarships that can be found listed on the official website of universities. Candidates should also get in touch with admission officers to inquire about scholarships and ways to apply to the same. Candidates should note that it is important to apply to universities well ahead of deadlines to keep room for any special requests that the university might have as part of the scholarship application process. And there is a number of study abroad scholarships that are available to students wanting to study abroad provided by public and private organizations to promote education abroad. Candidates can check out the list of study abroad scholarships on our website.
German Student visa
Candidates going to study in Germany would require a German Student Visa for their entire duration of stay. The student visa would also allow students access to part-time work for 20 hours a week for their entire duration of the study or 120 full or 240 half days per year Candidates should note that on completion of their study, they would be allowed an eighteen-month (18 months) post-study period to find employment in their field of study.
On getting employment within the said time frame they would be required to convert their post-study visa into a work visa and within two years of being on a work visa, they can apply for a permanent resident permit. In the unfortunate case that the candidate is unable to secure employment in the said 18 month period, which is highly unlikely, especially after pursuing such a demanding course like Data Science, he would be required to return to his home country.
Job Prospects for Masters in Data Science in Germany
In today’s age, Data is oil. The study of Data Science has grown to be one of the most popular courses for Indian students wanting to study in Germany and rightly so. In Germany, studying Data Sciences involves the right amount of learning along with numerous training sessions in local and international companies to bring the best talents forward. When coming to job aspects of pursuing Masters in Data Science in Germany, candidates who have successfully graduated can expect to earn anywhere between €48,000 to over €66,000 annually. And the salary would gradually increase as the candidate would gain more experience and knowledge in studying data. Read: Popular Job Sectors in Germany
Popular job roles for Data Science and Analytics graduates:
- Data scientist
- Data visualization developer
- Robotics research scientist
- Machine learning engineer
- Data mining engineer
- Big Data solutions architect
- AI researcher
- Business intelligence analyst
Difference between Data Analytics and Data Science
To understand the difference between Data Analytics and Data Science. Data analysis involves answering questions generated for better business decisions making whereas Data science focuses on discovering new questions needed to drive innovation.
| Parameter |
Data Science |
Data Analytics |
|---|---|---|
| Scope |
Macro |
Micro |
| Goal |
To ask the right questions |
To find actionable data |
| Major Industries |
Machine learning Artificial Intelligence (AI) Search engine engineering Corporate analytics |
Healthcare Gaming Travel Industries with immediate data needs |
| Skills Required |
Knowledge of Math, Advanced Statistics, Predictive Modelling Proficiency in Big Data tools such as Hadoop and Spark Experience with data visualization tools such as QlikView, D3.js and Tableau |
Knowledge of Intermediate Statistics Excellent problem-solving skills Dexterity in Excel and SQL database |
Related Reads
| SOP for Germany | Difference between FH and TU Germany |
| Data Science vs Machine Learning | Top 10 Masters of Data Science Colleges in Australia |
What is the difference between Business Analytics and Data Science?
Confused about pursuing Data Science or Business Analytics? Check out the major differences between pursuing Data Science and Business Analytics in the table provided below.
| Data Science |
Business Analytics |
|---|---|
| Involves the science of data study using statistics, algorithms, and technology |
Is defined as the Statistical study of business data |
| Involves a lot of coding skills |
Involves minimal coding skills |
| Analysis results of Data Science cannot be used on day to day decision making of the company |
Analytics is often vital in making key decisions by management |
| The study does not answer clear-cut questions. The questions are mostly general in nature |
The study answers very specific business-related questions mostly financial |
| Data Science uses both structured and unstructured data |
Business Analytics uses mostly structured data |
| Data Science has the potential to take leaps and bounds especially with the coming up of Machine Learning and Artificial Intelligence |
Business Analytics is yet to foray into artificial intelligence |
| Data Science depends largely on the availability of data |
This is not the case for Business Analytics |
We would love to hear from you. Do get in touch with us, in the comments below.
Download this article as PDF to read offline
Download Guide
With over 8 years of experience in overseas education, Rahul Singha has been previously associated with prominent education houses. He is also responsible for keeping a sharp eye on education policies of major study... Read Full Bio
Statement of Purpose
Letter of Recommendation
Education Loans
Student Visa Application
Student Curriculum Vitae
Comments