Master of Science in Management & Data Science
An interdisciplinary Master's programme combining management, data analysis, and information systems to solve complex business challenges.
Best for:Best for students with a strong interest in bridging the gap between data science and strategic management.
Overview
The Master of Science in Management & Data Science at Leuphana University Lüneburg is designed for students aiming to master the analysis of complex data sets and the design of statistical models. The curriculum integrates management theory, data mining, and information systems to prepare graduates for leadership roles in data-driven organisations. Students engage in interdisciplinary research projects, often in collaboration with industry partners, to address practical management problems. The programme concludes with a Master's dissertation, ensuring students are well-equipped for careers in business, public administration, and research.
What you'll do
- Develop expertise in extracting knowledge from complex data sets during the first semester.
- Master tools for data storage, mining, network analysis, and forecasting.
- Collaborate in teams on research projects addressing real-world industry problems.
- Deepen knowledge in data privacy and ethical considerations in data science.
- Complete a Master's dissertation in the final semester.
- Participate in interdisciplinary complementary studies to broaden academic and research foundations.
Requirements
Degree required: Bachelor's degree or equivalent
Degree offered: Master of Science
Language: English; C1 level (e.g., TOEFL iBT 85, IELTS 5.5, TOEIC 785, or Cambridge C1 Advanced)
Instruction: English
- Proficiency in English at C1 level
- Foundational knowledge in mathematics
- Ability to work in interdisciplinary teams
- Analytical mindset for problem-solving
- Applicants from non-EU countries and the UK must apply by 1 May
- Applicants from EU countries, Iceland, Norway, Liechtenstein, and Switzerland must apply by 1 June
Funding & terms
Programme and admissions
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- Intake
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- Duration
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- Taught / research mode
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2025-05-01
Applications must be submitted via the uni-assist portal or the university's internal application website. Ensure all required academic documents are prepared according to the specific guidelines provided on the university's application portal.
- Academic transcripts
- English language proficiency certificate
- CV
Contact
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