Data has become a key ingredient for decision-making in almost every big and successful organization. In our quickly digitizing world, where everything is run on infinite numbers, data handling knowledge and abilities are becoming increasingly important.
With the amount, intensity, and variety of data growing by the day, next-generation solutions are increasingly focusing on big data.
Students are always looking for colleges that provide unique course arrangements to give them an advantage over their industry peers. Data Science is likely to be one of the only sciences in modern culture that will never go out of style. So why not provide this demand and profit from it?
Germany is a very sought-after place to study Data Science. In Germany, MS in Data Science teaches students about big data analysis, machine learning, mining, programming, data visualization, and statistics in depth.
In addition, segmentation, recognizing hidden patterns throughout raw data, and machine learning techniques are covered in the course.
Germany has recently been one of the most popular study locations. In Germany, a master's degree in data science is a 1.5 to 2-year program provided by well-known, reputable, and elite universities.
These universities have a high level of competitiveness for admission, and if you want to be a member of one of these prestigious schools, you must meet these entrance standards.
Let us assist you if you're not sure why or where you should study for a Master in Data Science in Germany after graduation.
What is Data Science?
Data science is a newly emerging professional field that has recently emerged in the field of science and engineering. This field is concerned with the analysis, management, and creation of data as well as its application to solve real-world problems.
But the concept of data science is not new at all. It has been in use for a longer time than anyone can imagine. Humans have been using experience and data as a drive for their future decisions, and this is what is called data science.
Data Science is a field based on statistics and computer science that uses data to answer questions about the real world. It relies on mathematical modeling techniques to extract insights from large amounts of data.
It can also be defined as an analytical method that uses the techniques of computer science to extract knowledge and information from data. The goal of data scientists is to find patterns in large amounts of data that can help companies improve their business strategies.
Data science has become increasingly important for companies as they need to keep up with technological developments as well as overcome challenges related to new technologies such as artificial intelligence (AI).
Admission Requirements
MS in Data Science is a graduate program for students interested in data science and statistics. The course structure includes core courses, electives, and a thesis as offered by universities in Germany.
The admission requirements to study MS in Data Science in Germany vary between different universities. The number of required credits and grade point average (GPA) for admission varies from one university to another.
Applicants must follow the given criteria before applying to the top universities in Germany:
- To apply for a Master's degree, you must have completed at least 90 credits of your undergraduate program, including any courses with a grade of B or better. There is also a need to have completed at least 30 credits of upper-level coursework (300+).
- An overall GPA of 3.0 is required or higher on all work completed as a student of your undergraduate program in a related field or subject.
- Applicants must demonstrate their proficiency in English by submitting scores from the Test of English as Foreign Language (TOEFL) or the International English Language Testing System (IELTS).
- In addition, applicants are required to provide proof of three years of work experience in their field at a professional level. Experience obtained working on projects, or mentoring other students will also be considered as part of your work experience.
- All official educational transcripts must be submitted.
- Submit a detailed statement of purpose that explains why you would like to study in Germany and how your previous education and training can help prepare you for this program. The statement of purpose should include a discussion of your interests, career goals, and any work experience relevant to this field.
- Submit a proper CV with details in it that describe you properly and show your relevance to the field you are applying for.
- A letter of recommendation is mandatory for admission to top universities in Germany. These letters of recommendation should come from teachers, educational institutions, established professionals, or people with good experience and credibility in the field of data science.
Top Colleges to Study Data Science
Technical University of Munich:
TUM, or the Technical University of Munich, is a public university in Germany with a strong reputation for engineering and technology, including data science. It's one of the top data science universities in Germany, offering a full-time master's degree in data science.
The school is located in Germany's biggest city, Munich, which is known as "the Silicon Valley of Europe." With its strong research focus on bioinformatics and data science, it's also one of Europe's top bioinformatics schools.
The university has a long-standing history of collaborating with industry partners on research initiatives that have resulted in new technology or solutions being used by businesses all over the world.
Its assets include its superb facilities, which include state-of-the-art labs and classroom spaces for graduate students studying data science or information technology for a master's degree.
Key Data
Type of Study: Full Time
Standard Duration of Studies: 4 (full-time)
Credits: 120 ECTS
Main Locations: Garching
Application Period
- Winter semester: 01.01. – 31.05.
- Summer semester: 01.09. – 30.11.
Admission Category: Aptitude Assessment for Master
Start of Degree Program: Possible for both winter and summer semester
Costs: Student Fees: EURO 138
Required Language Proficiency: English
Freie Universität Berlin:
Freie Universität Berlin is one of the best universities for studying data science in Germany. It has a long history of teaching data science and offers an MS in Data Science program that can help you get a job after graduation.
The program is designed to prepare students for careers in data analytics, big data, and machine learning. The curriculum includes courses on programming languages, statistics, and computer science. Students also take classes in applied mathematics, machine learning, and data visualization.
The MS in Data Science at Freie Universität Berlin is a two-year program. Students can choose to study one or two specializations, which are either Data Science Analytics and Data Science Machine Learning or Data Science Statistics and Data Science Mathematical Statistics.
The program aims to provide students with the necessary skills and competencies to advance in their careers as Data scientists.
The program consists of two parts:
- Part 1 is an 8-month immersive course that teaches students how to use R, Python, and other programming languages for the analysis of large datasets.
- Part 2 is a 4-month internship at an IT company or research lab that introduces students to real-world projects on data science topics such as machine learning and predictive modeling.
Key Data
Type of Study: Full Time
Standard Duration of Studies: 4 Semesters(Full Time)
Program Start: Winter Semester
Costs: No tuition fees are payable
Required Language Proficiency: English
Location: Berlin
Ludwig-Maximilians-Universität München:
The MS in Data Science at Ludwig-Maximilians-Universität München is a one-year master's degree program that helps students prepare for their careers in data science.
This program was designed for students who have a strong interest in pursuing data science as a career but may not have the required background to enter directly into an academic program.
The MS in Data Science at Ludwig-Maximilians-Universität München prepares students not only for an entry-level position in data science but also provides them with the skills necessary to pursue research careers. The program has been framed with input from industry representatives interested in hiring individuals with these skills.
The curriculum includes:
- 3 semesters of core courses (including two courses on programming)
- 1 semester of electives (increasingly focusing on advanced topics)
- Mentorship and collaboration opportunities with scientists conducting their research projects
The MS in Data Science at LMU offers three tracks:
- Data Analysis Track: Develops skills in data analytics through courses on statistical methods, machine learning theory, and applied programming languages. Students can specialize in natural language processing, text mining, or fraud detection.
- Business Track: Provides a broad foundation in business analytics by studying data management, prediction modeling, financial engineering, and optimization methods. Students can specialize in one area, such as customer relationship management or supply chain optimization.
- Social Sciences Track: Teaches students about social sciences by applying machine learning techniques to analyze large datasets from diverse areas such as sociology, psychology, and economics. Students can specialize in one area, such as political science or economics.
Key Data
Type of Study: Full Time
Standard Duration of Studies: 4 Semesters(Full Time)
Costs: No tuition fees are payable
Credits: 120 ECTS
Ruprecht-Karls-Universität Heidelberg:
The MS in Data Science at Ruprecht-Karls-Universität Heidelberg is a joint program between the Mathematics and Computer Science Department of Heidelberg University and the Data Science Centre of the University of Mannheim.
The Master of Science in Data Science at Ruprecht-Karls-Universität Heidelberg is an interdisciplinary degree program that combines the theoretical and methodological aspects of data science with applications in computer science, mathematics, statistics, and economics.
The program offers a deep understanding of data science in both its mathematical and statistical aspects as well as its practical applications. The program also provides students with a good understanding of machine learning techniques and the use of artificial intelligence techniques to solve real-world problems.
The coursework for the MS degree comprises two semesters of graduate studies, each semester consisting of three academic terms. The first term focuses on mathematics and statistics, while the second focuses on computer science and algorithm design (first term). In the final term (second term), students must select one topic within the following domains:
- Machine Learning
- Artificial Intelligence
- Data Analysis
- Big Data Management
Students should complete a thesis on one of these topics during their second semester at Heidelberg.
Students can choose between three tracks:
- A track on machine learning, where students learn about machine learning techniques and methods for large-scale data analysis. This track includes basic courses in statistics and probability theory, as well as courses on machine learning with applications in computer science.
- A track on data mining, where students learn about methods for data analysis based on advanced statistical modelling techniques or stream processing techniques. This track also includes basic courses in statistics and probability theory, as well as advanced courses in applied machine learning and stream processing.
- A track on data management, where students learn how to design and implement solutions that can manage large amounts of structured or unstructured data efficiently. This track also includes basic courses in statistics and probability theory, as well as advanced courses in applied machine learning and stream processing.
Key Data
- Type of Study: Full Time
- Standard Duration of Studies: 2 semesters(Full Time)
- Program Start: Winter and Summer Semester
- Required Language Proficiency: English
- Costs: Euro 171.80/Semester
RWTH Aachen University:
The MS in Data Science at RWTH Aachen University is a two-year program with a clear focus on data science. This program will help you learn how to use data to solve real-world problems and your knowledge of computer science and software engineering to work with data.
The master's degree in data science is offered at RWTH Aachen University and is taught in English. The program was introduced in 2014 with the support of the German Academic Exchange Service (DAAD) and the Ministry of Economic Affairs and Energy (BMWi).
The program is divided into two parts: Data Science I and Data Science II. The first part focuses on various topics, including machine learning, statistics, business information systems, and databases. In contrast, the second part aims to provide students with an advanced understanding of data science techniques.
In addition to these subjects, students also take courses on web technologies, database management systems, or software engineering.
The program has three components:
- A theoretical part: It includes courses on computer science, mathematics, and statistics; it also covers the fundamentals of data science and provides them with an introduction to machine learning techniques.
- A practical part: It consists of courses on programming languages like Python or R, databases such as PostgreSQL or MongoDB; courses on data visualization; courses on big data analysis using tools like Apache Spark or Hadoop MapReduce; and classes on machine learning methods like decision trees or neural networks.
- A research track: This part includes classes on advanced topics such as Bayesian inference or reinforcement learning while they focus more specifically on how to apply these methods in practice.
You can choose from three different tracks in the data science field as well:
The Data Mining track focuses on the analysis of large amounts of data. This includes building models for predicting outcomes and identifying trends, as well as exploring the structure and distribution of your data.
In addition, you will get the opportunity to learn about various types of machine-learning methods for analyzing and processing large amounts of data.
The Computational Statistics track teaches you how to implement statistical methods in code, which enables you to perform more advanced statistical analyses using Python or R (an open-source programming language). The course also imparts knowledge of other programming languages like Java or C++.
The Big Data Analytics track focuses on using big data technologies like Hadoop and Spark to organize and analyze large amounts of structured, semi-structured, and unstructured data sets. You will also learn how to design scalable solutions based on the Hadoop MapReduce framework.
Key Data
Type of Study: Full Time
Standard Duration of Studies: 2 semesters(Full Time)
Program Start: Winter and Summer Semester
Required Language Proficiency: English
Costs: Euro 171.80/Semester
Student Visa
Anyone intending to pursue a Master's in Data Science in Germany must get a Germany Study Visa. The three-month study permit for Germany can be extended for an additional six months once you get there. However, depending on the country you come from and the German consulate, processing the visa might take from 25 days to 3 months. Thus, candidates should apply for a German study visa within 4-5 months.
Required documents are:
- National visa application form
- A valid passport
- Birth Certificate
- Passport size photographs
- Proof of Financial Stability
- Admit from a University in Germany
- Health Insurance.
- English Language Proficiency Certificate.
- Transcript of previous academic records
- Clear Criminal Record Proof
- Certificate of being medically fit
Scope after MS in Data Science in Germany
Job opportunities are different for every industry. For example, if you have a degree in data science or engineering, you can get a job as a software developer or analyst. In this case, you could work for big companies such as Google or Facebook, which have a high demand for software developers.
Germany is a country of high-tech and innovation. The country has a highly educated workforce, which makes it an ideal place for data science and analytics professionals. As a result, the country has raised its position in the list of top destinations for IT professionals and scientists.
Data scientists are in more demand in Germany. As more businesses begin to use Big Data technology to make better decisions, the demand for qualified data scientists will only increase in the coming years.
According to Payscale.com, the average salary for data science-related jobs in Germany is EUR 55,773 approx.
Conclusion
Germany is a hub for technology, it is home to many big organizations, and that is why it provides ample opportunities for growth and development as a data scientist.
But before jumping into the professional field, it is necessary to get the right education. Luckily, Germany is a great place for that too. The above blog will help you navigate your way into a good master's in data science in Germany.
For further assistance, contact our experts. They will stand beside you in each step of your study abroad journey and help make it an easier and better experience for you.
