- Degree
- Master of Science in Business Analytics and Data Science
- Course location
- Hamburg
- Teaching language
- • English
- Languages
- The courses are taught in English.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- Application Deadlines
• Start of application period: 1 November
• Early-bird deadline: 15 January (10% discount on overall tuition for fully completed applications)
• Recommended application deadline for international (non-EU) applicants: 31 March
• Final application deadline for international (non-EU) applicants: 31 May
• Final application deadline for European applicants: 15 July
Apply with your transcript of records if you have not yet received your degree certificate.
Admission Process
We require an application fee of 50 EUR from all applicants.
- Tuition fees per semester in EUR
- 8,200 EUR
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- MSc Business Analytics & Data Science
KLU’s MSc in Business Analytics & Data Science puts you at the forefront of the new era: a data-driven economy. You master machine learning, programming and big-data methods while learning to translate complex insights into smart business decisions. Rooted in KLU’s logistics heritage, the programme fosters the operations mindset – critical, action-oriented and resilient – ideal for managing complexity in any industry. You will study in small, supportive classes, work on real projects such as ethical AI or humanitarian response analytics, and benefit from career coaching and a network of top employers in tech and beyond. What’s more, the connections with KLU’s Vietnam campus and a truly international peer group will sharpen your intercultural skills, opening the doors for global opportunities. If you are ready to drive innovation and shape the future of business, KLU is where your analytical mind belongs.
Why Study Business Analytics & Data Science at KLU?
• The Best Training Field: With world-spanning operations, distributed data, and complex decision problems, the field of logistics provides an excellent learning environment and an abundance of relevant case studies for business analytics and data science.
• Individualised Learning: Mathematical methods, machine learning, or programming might sound like complicated topics, but at KLU, you don’t get lost. The small class sizes allow for a comfortable learning environment where you get the support you need to succeed.
• Top Researchers in Digitalisation: Since its origins, KLU has had a strong research focus on digitalisation, with first-class faculty from prestigious universities such as MIT in Massachusetts (USA), Humboldt in Berlin, WU Vienna, or INSEAD, Paris.
• Meaningful Projects: At KLU, you learn how to actively apply up-to-date research to real-world problems. In connection with institutions such as the Kühne Climate Center, you’ll discover how leveraging data leads to high-impact solutions.
Exceptional Career Chances: Take advantage of KLU’s extensive network of partner companies and alumni connections, plus get the personalised support you deserve to prepare you for your next career step in a rampantly growing sector.