Data competence for the future: New master’s degree starts in 2025!

Data competence for the future: New master’s degree starts in 2025!

With the part-time master's degree in data science at Leuphana University, specialists and managers have the opportunity to specifically implement data-based decisions and innovations in their everyday working life. The program is scheduled to start in October 2025, with the application deadline ending on July 31, 2025. If prospective students are interested in the diverse content of the program, they can obtain comprehensive information at an online information day on June 28, 2025.

The program combines scientific theory with practical projects. This includes the opportunity to work on real questions from their own work environment, which allows students to directly apply what they have learned. The curriculum design relies on a flexible blended learning concept that guarantees compatibility with work and everyday life. In the first semesters, students will acquire comprehensive basic knowledge of machine learning, mathematics and statistics in order to meet the diverse demands of modern data analysis.

Study content and focus

The first two semesters of the part-time master's degree lay a solid foundation in data science. The contents include, among others:

• Einführung in Business Analytics, Data Science und Artificial Intelligence
• Skriptsprache Python
• Data Engineering
• Anwendungsbezogene statistische, rechtliche und ethische Fragestellungen

After the first year, participants can choose a focus of study. From the third semester onwards, the following subjects are available to choose from:

• Advanced Business Analytics: Optimierung von Prozessen mit Business Intelligence.
• Advanced Data Analytics: Systematische Erfassung, Bereinigung und Analyse großer Datenmengen sowie Anwendung von Machine Learning.
• Applied Artificial Intelligence: Entwicklung und Nutzung von Prozessen, Algorithmen und Technologien für maschinelles Lernen in Unternehmen.

The modules are taken in close coordination with the program director in order to take individual interests and needs into account. These forms of individualization are a central feature of the program.

Growing importance of data literacy

With the ever-growing amount of data in professional and private contexts, the ability to process data in a targeted manner and derive actionable measures is becoming increasingly crucial. Data analysts recognize patterns in data sets and develop recommendations for action based on them. As companies increasingly rely on data analytics, handling data securely and effectively is essential.

For this purpose, Leuphana's Professional School also offers a one-semester training course in data analytics, which consists of three modules. These modules include:

1. Angewandte Statistik: Kenntnisse im Bereich Statistik, statistische Beschreibung von Daten, Analyse von Zusammenhängen.
2. Programmieren mit Python: Erwerb grundlegender Programmierkenntnisse.
3. Praktische Datenanalyse: Anwendung der Kenntnisse aus den ersten beiden Modulen und datenbasierte Entscheidungsfindung.

The further training is accompanied by scientists and practitioners through face-to-face and online events and ends with a certificate that recognizes the technical knowledge for the Master Data Science.

For further information and details about the application process and course content, please visit the website Leuphana University, which provides comprehensive information about the Master Data Science. The university also offers information about its part-time master's programs in data science at this address [hdm-weiterbildung.de].