
Overview
Data-driven decisions for a better world
Are you ready to turn data into insights and lead the way in the world of analytics? Our MSc in Business Analytics and Data Science will give you the foundation you need in scientific programming, data analytics, machine learning, and decision-making. This program is all about practical applications and hands-on experience, giving you the skills to tackle real-world data challenges using the latest algorithms and tools.
The logistics and supply chain sector is the perfect example of where this expertise is crucial. Thanks to its global reach, complex decision-making, and constant flow of data, it provides the ideal environment for you to grow and thrive in the field of business analytics and data science.
Corporate Sponsorship - A special chance for individual funding
Secure your student financing and the next step in your career. Convince a KLU partner company to sponsor you as a young talent. KLU partner companies cover up to full tuition for selected students of their choice in this Master's program including close cooperation through e.g. study projects, an internship, and the Master’s Thesis. Read more!
KLU's Operations Mindset:
Building on our heritage in logistics, all our programs foster the unique KLU Operations Mindset. This mindset embodies several core principles that will make you ready to tackle any challenge up the road. You'll be combining academic excellence with a hands-on approach. You will learn to work systematically and data-driven managing details while maintaining a strategic view. You will be ready to be a sustainable and responsible contemporary leader, no matter in which sector or function.
Why study in Germany?
Germany’s universities and educational system are world-renowned and highly regarded by employers across the globe. With its strong economy and stable job market, Germany offers incredible opportunities for skilled professionals. After graduating from KLU, you’ll be legally entitled to work in Germany for up to 18 months – giving you plenty of time to find the perfect job and start your career. This post-graduation period is one of the most generous in Europe!
Why Hamburg?
Hamburg is a vibrant, cosmopolitan city with a rich trading history and a warm, welcoming atmosphere for people from all over the world. Frequently voted one of the world’s best cities to live in, Hamburg offers the perfect work-life balance, with its vibrant culture, fantastic gastronomy, outdoor activities, sports, and luxury living. The Campus Hamburg is the ideal place to launch your career while enjoying outstanding quality of life.
Interested? Just contact us at study@klu.org – we’d love to hear from you and help you get started!
Check out our Summer Open Day, and other events to get a taste of what studying with us is like!
Accreditation
KLU is among the top five percent of business schools worldwide, as per AACSB accreditation.
Find out more info about our full list of accreditations here: Quality Labels & Rankings · KLU
Get more details
Visit programme websiteProgramme Structure
Curriculum for the next academic year
Our Master in Business Analytics and Data Science program starts every September.
Standard Track
- Credits: 120 ECTS
- Credits for Admission: 180 ECTS
- Internship: Mandatory
- Semester Abroad: 1 Semester / Free to Choose (3)
Fast Track
(3) Students who have already studied outside of Germany for a substantial amount of time might have the option to spend their third semester at KLU. For more information please enquire.
Please check our website for more information about core courses and elective courses that we offer.
Audience
During our Open Day, you will be able to hear about the programs that we offer, chat with students about their experience at KLU, and watch a lecture from KLU faculty. Join us on one of the following dates:
- 14 June 2025
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
- Apply before , EEA/EU
-
Recommended application date for international applicants: 31st March
Early Bird Discount (10%) deadline: January 15
More information can be found here.
Language
Check IELTS test dates and locations. Book an IELTS test now!
Credits
- 90 credits for Fast Track
Delivered
Disciplines
Business Information Systems Data Science & Big Data Data Analytics View 81 other Masters in Data Science & Big Data in GermanyExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Check IELTS test dates and locations. Book an IELTS test now!
Other requirements
General requirements
Admission Requirements
- Bachelor’s degree or equivalent from a recognized university or college.
- Proof of English language proficiency. It's not that difficult. Check out our various options
We require a degree in business/economics, engineering, computer science or mathematics and will consider other degrees if your bachelor's degree contains at least three quantitative courses.
The bachelor’s degree must comprise 180 ECTS for the standard track or 210 ECTS for the fast track and the part-time track. Applicants for the fast track and for the part-time track must have done at least one academic term abroad during their previous university study. Equally possible to prove an internship abroad, which was officially part of the bachelor’s degree program.
Apply with your transcript of records if you have not yet received your degree certificate.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Kühne Logistics University (KLU) and/or in Germany, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
15600 EUR/yearTuition FeeBased on the tuition of 7800 EUR per semester during 24 months. -
EU/EEA
15600 EUR/yearTuition FeeBased on the tuition of 7800 EUR per semester during 24 months.
- Standard Track: EUR 7,800.00 per semester
- Fast Track: EUR 8,090.00 per semester
Living costs for Hamburg
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Scholarships
At KLU, we’re committed to helping you achieve your academic goals with a range of scholarships:
- We offer a limited number of merit-based and need-based scholarships.
- Sports scholarships are available for athletes on German national teams.
- Students with grants from gifted education institutions (Begabtenförderwerke) can apply for a full tuition fee waiver.
- We proudly offer support to students from refugee communities in Hamburg.
Be sure to check out the specific criteria for each scholarship and see which opportunities are the best fit for you!
Students can also receive Corporate Sponsorship for this program. Please check our program page on our website for more information.
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Business Analytics and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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