Masters in Data Science in Germany

After the invention of the internet, we all started creating innumerable data on a daily basis. 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!

What is Masters in Data Science in Germany? 

Usually offered as a two-year course, Master in Data Science is a postgraduate program that aims to impart 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, and 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 programme, 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 proficient 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

Explore the Free Education opportunities in Germany.

German Grading System

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

Have a look at the list of 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 a data mining analyst, Data miner. Their main role is to collect, process, and perform statistical data analysis. They also look into quality assurance and breakdown the complicated data in easily understood formats. Additionally, their roles encourage the identification of the 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

This was all about 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 in selecting the right German university, course, scholarship and guide you throughout the application process. Book your counselling session with us and make your dream career a reality!