Data Science
Specialization in the Software Engineering (B.Sc.) degree program
Learn how to distil meaningful insights from vast and complex datasets with our Data Science specialization. Data Science involves a unique blend of logical and statistical thinking, advanced programming skills, and domain expertise. This specialisation transcends traditional data analysis by combining different competences to create a powerful and sought-after skillset.
3 years
On campus (Berlin)
180
State-accredited
What you will learn in our classes
Begin your journey into data science with a robust foundation in probability and statistics, essential for mastering data analysis principles. You will quickly advance to skillful data manipulation and extraction techniques, ensuring you can turn raw data into actionable insights. Our curriculum goes beyond the basics; it includes comprehensive training in data visualization, enabling you to present your findings in compelling and understandable ways. You will also explore the transformative power of machine learning to identify patterns and make meaningful predictions.
As your expertise grows, you will lead your own real-world, data-driven projects, gaining invaluable practical experience that showcases your ability to address complex problems effectively.
Why should I study Data Science at CODE?
Real-life projects
Each core semester, students pitch project ideas to each other and work on real-life projects that ignite their curiosity.
Interdisciplinarity
Students form interdisciplinary project teams across all study programs, combining diverse skills to develop digital products.
Professors as mentors
Our professors take on the role of mentors, offering tailored support for problem-solving and delivering focused learning units as needed.
Self-Directed Learning
In a world where knowledge is just a click away, we promote dynamic education through self-directed learning and peer collaboration.
Data Science jobs: Opportunities after graduation
After completing your studies, numerous exciting Data Science jobs await you. As a Data Science Analyst, you will analyse large datasets, identify patterns, and help companies make data-driven decisions. If you are more interested in the technical implementation, you can work as a Data Science Engineer, developing robust data pipelines and infrastructures to process vast amounts of data efficiently. For those aiming for a leadership role, becoming a Data Science Manager allows you to lead teams, develop data-driven strategies, and support businesses in implementing innovative solutions through machine learning and artificial intelligence. With the right skills, you will have access to a wide range of career prospects in one of the most in-demand fields of the future.
Salary in different Data Science positions
Data science salaries vary depending on factors such as experience, industry, company size, and location. Entry-level professionals can expect to earn around €54,000 gross per year, with salaries increasing significantly as experience grows. After three years, the average salary rises to approximately €62,000 gross. Highly sought-after specialists, such as machine learning experts or big data professionals, can command even higher salaries. Senior positions or leadership roles often exceed €71,000 gross. While data scientists in cities like Berlin, Munich or Frankfurt generally earn above-average salaries, wages tend to be lower in smaller cities or rural areas. Overall, however, data science remains a field with attractive salary prospects.
Data Science course: Exploring your career potential
Our Data Science course opens doors to many professional opportunities in a wide range of industries. In finance, data scientists are in high demand to analyse large volumes of financial data, identify trends and optimize investment strategies. In healthcare, they improve patient care by analysing medical data and developing predictive models for better treatment decisions. Data science also plays a central role in marketing, as companies use data analysis to understand customer behaviour and tailor their marketing strategies accordingly. In the economic sector, data science is used to conduct accurate market research and forecasting, which helps improve political and economic decision-making.
The future outlook for data science is excellent. As more and more companies rely on data-driven decisions, the demand for skilled professionals continues to grow. Additionally, new opportunities in fields like artificial intelligence and automation further enhance career prospects. The field of data science offers not only great opportunities now but also plenty of chances for a successful career in the coming years.
