Master of Science in Business Analytics and Data Science
A data-driven Master's programme focused on applying machine learning and big-data methods to complex business and logistics challenges.
Best for:Best for students with a quantitative background in business, engineering, or computer science seeking to bridge the gap between data science and management.
Overview
The Master of Science in Business Analytics and Data Science at Kühne Logistics University prepares students for the data-driven economy by integrating technical expertise with strategic business decision-making. The curriculum covers machine learning, programming, and big-data analytics, with a specific emphasis on logistics and operations management. Students benefit from small class sizes, practical projects, and a strong international network of industry partners. The programme includes a mandatory internship and offers opportunities for a semester abroad, ensuring graduates are well-equipped for global career opportunities.
What you'll do
- Master core modules in data science, business analytics, and scientific programming.
- Apply machine learning and deep learning techniques to real-world business problems.
- Complete a mandatory internship to gain practical industry experience.
- Collaborate on high-impact projects, such as ethical AI or humanitarian response analytics.
- Conduct applied research and complete a Master's thesis in the final semester.
Requirements
Degree required: Bachelor's degree or equivalent in business, economics, engineering, computer science, or mathematics.
Degree offered: Master of Science
Language: English; B2 level (e.g., TOEFL iBT 90, Cambridge B2 First).
Instruction: English
- Strong quantitative background with at least three quantitative courses in the Bachelor's degree.
- English language proficiency at B2 level or higher.
- Completion of 180 ECTS (standard track) or 210 ECTS (fast track).
- Bachelor's degree from a recognised university.
- Proof of English language proficiency.
Funding & terms
Programme and admissions
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- Intake
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How to apply
Applicants must submit their application through the official university portal. Non-EU applicants should apply between 1 November and 31 March, while EU applicants have until 15 July for the winter semester intake.
- Bachelor's degree certificate
- Transcript of records
- Proof of English language proficiency
Contact
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