After the invention of the internet, we all started creating innumerable data on a daily basis. The collection of data in abundance led to the formation of new career avenues and a prominent name in the list is Data Science. If you are a graduate with an eye on master programmes in Data Science, then you are in the right place. Germany is well-known throughout the world for these courses. The country also offers a bundle of other perks, like you can complete your education in low or no tuition fees with the help of scholarships. German institutes also offer high-quality education, exposure, placements and research opportunities to students. Let us explore masters in Data Science in Germany, through this blog!
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Also Read: Study in Germany
Degree Types | MS in Applied Data Science MS in Data Science |
Course Duration | 2 years |
Program Types | Full-Time |
Intake Seasons | Fall/Winter, Spring/Summer |
Admission requirements | Bachelor’s degree in computer science, mathematics, statistics, or related fields with a minimum overall aggregate of 75-80%, |
Standardized Test Required | GMAT GRE |
English Proficiency Tests Required | TOEFL: 92 IELTS 6.5 |
Documents Required | Letter of Motivation Essay Questions, Updated Resume, and Academic/Official Transcripts |
Tuition Fee | 608-6,000 EUR |
Average Salary | 71,500 EUR |
Also Read: MBA in Data Science
What is a Masters in Data Science in Germany?
Usually offered as a two-year course, a Master in Data Science is a postgraduate program that aims to impart to students the concepts of Machine Learning, Mathematics, Statistics, Information Science, Computer Science, Data Extraction, etc. This course is mostly related to data mining and covers a wide range of scientific methods, processes, algorithms, systems, and insights from many structural and unstructured data.
Subjects Covered in Masters in Data Science
Data Science courses are offered at different levels in German universities ranging from bachelor’s and master’s to short-term courses. One is likely to study similar subjects with different difficulty levels in each of these courses. Given below is an overview of the syllabus of Data Science:
- Data Mining, Data Structures, and Data Manipulation
- Data Acquisition and Data Science Life Cycle
- Data Scientist Roles and Responsibilities
- Big Data Fundamentals and Hadoop Integration with R
- Statistics
- Information Visualisation
- Algorithms used in Machine Learning
- Deploying Recommender Systems on Real-World Data Sets
- Experimentation, Evaluation, and Project Deployment Tools
- Predictive Analytics and Segmentation using Clustering
- Introduction and Importance of Data Science
- Working on Data Mining, Data Structures, and Data Manipulation
- Applied Mathematics and Informatics
Eligibility Criteria
Universities are likely to have a different application and selection process for their MDS program, however, some general conditions are expected from all the students. Given below is the list of such requirements for Masters in Data Science in Germany:
- The score of English proficiency tests like IELTS, PTE or TOEFL
- The score of standardized subject proficiency tests GRE and GMAT (depends on the specific university)
- Bachelor’s degree from a recognized university
- Work experience (internships, projects, and full-time employment)
- Letter of Recommendation (LOR)
- SOP
Also Read: Top GRE Accepting Universities in 2023
German Grading System
Scale | Description |
1-1.5 | Sehr Gut ( Very Good ) |
1.51-2.5 | Gut (Good) |
2.51-3.5 | Befreidigend (Satisfactory) |
3.51-4 | Ausreichend (Sufficient) |
4.01-6 | Nitch Ausreichend (not sufficient) |
Top Universities For Masters in Data Science In Germany
There are many universities in Germany that offer MS in Data Science and its allied courses. Enlisted below are the best ones:
- The University of Applied Sciences
- University of Magdeburg
- Technical University of Munich
- University of Mannheim
- University of Hildesheim
- Leuphana University of Lüneburg
- TU Dortmund
- Digital Master School
- Jacobs University
Also Read: Public Universities in Germany
Career Paths
After completing masters in Germany in Data Science, students get a wide range of career opportunities. Let’s walk through some of them:
Data Engineer
The main role of Data Engineers is to develop, construct, test, and maintain various contemporary architectures that include large-scale data processing systems and databases. The major role of these professionals is to efficiently collaborate with Data Architects, Data Analyst, and team members of IT. Some of the main programming languages that a Data Engineer has to master are as follows:
- Python
- Apache Hadoop
- Big data
- SQL
- Java
Data Architect
Creation off a blueprint for data management systems to integrate, centralize protect and maintain data sources are the main roles and responsibilities of Data Architects. They also look into Data Management in the fields like Modeling, Database Management, ETL tools, and Data Warehousing. Some of the main programming languages they need to master are:
- Database architecture
- Extraction transformation and loading (ETL)
- Data warehousing
- Data Modelling
- SQL
Data Scientist
Data scientists are also referred to as predictive analysts, predictive modeller. Extraction of knowledge from large volumes of data that are structured and unstructured is their major concern. Their work is a blend of Data Mining and Predictive Analytics. Some of the main skills and programming languages that a data engineer has to master are as follows:
- Python
- Machine learning
- Statistics
- Datamodellerr
- Data Science
- Apache Hadoop
Data Analyst
These professionals are also known as data mining analysts and data miners. Their main role is to collect, process, and perform statistical data analysis. They also look into quality assurance and break down the complicated data into easily understood formats. Additionally, their roles encourage the identification of inconsistencies in the data structure. Some of the main skills that a data engineer has to master are as follows:
- Data analysis
- SQL
- Tableau
- Data quality
- SAS
- Data developer
FAQs
Ans: Pursuing Data Science in Germany provides a significant return on investment due to lower tuition costs and higher salaries.
Ans: In Germany, there are no tuition costs for students attending public universities. However, they must pay a semester fee at the beginning of each year that ranges from EUR 150 to EUR 300.
Ans: Yes, admissions at German universities are quite high.
This was all about a Masters in Data Science in Germany! If you want to make a career in this field, get in touch with Leverage Edu, We will help you select the right German university, course, and scholarship and guide you throughout the application process. Book your counseling session with us and make your dream career a reality!
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I can proceed Ms in data science after completing bsc in computer science with data analytics
1 comment
I can proceed Ms in data science after completing bsc in computer science with data analytics