Management and Data Science Leuphana University Lüneburg

Overview

The Master's programme in Management and Data Science at Leuphana University Lüneburg is tailored for students seeking to deepen their understanding of data analysis in contemporary contexts. As the global economy transitions from traditional industrial frameworks to knowledge-based systems, the demand for skilled data scientists is surging. This programme not only imparts essential analytical skills but also integrates management principles, preparing graduates for a diverse range of roles in business, public administration, and research.

Leuphana University Lüneburg is renowned for its innovative approach to education and research, particularly in the fields of data science and management. The university's commitment to interdisciplinary learning, coupled with its AACSB accreditation, highlights its dedication to maintaining high academic standards. Students benefit from state-of-the-art facilities and the opportunity to engage in partnerships with leading companies, enhancing their practical experience.

The tuition fees for the Master's programme in Management and Data Science are as follows:

• International Fee: EUR 0 per semester
• European Fee: EUR 0 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum is structured to provide a comprehensive understanding of data science and management. Key components include:

• First Semester: Foundations in mathematics, data analysis tools, and data economics.
• Second Semester: Modules on deep learning, probabilistic modelling, network analysis, forecasting, and simulation.
• Third Semester: A research project addressing practical data-intensive problems, often in collaboration with industry leaders, alongside studies in data privacy and ethics.
• Electives: Options for specialisation in areas such as Geo Information Systems, Semantic Web, Information Retrieval, and High-Performance Computing.
• Management Studies: Three modules focusing on organisation, innovation, strategy, and entrepreneurship.
• Final Semester: Completion of a Master's thesis and participation in the Master's Forum.

Graduates of the Master's programme in Management and Data Science are well-equipped for various career paths. They can pursue roles in business consulting, corporate leadership, and data science, as well as data engineering positions in information-intensive organisations. The programme also lays a strong foundation for those interested in continuing their academic journey through doctoral studies in Information Systems and Data Science.