Early Bird Discount โ Apply by January 15! โฌ 8,200 โฌ 7,380
Tuition Fees (per semester)
Starting
Winter Semester
Mode of Admission:
no admission restriction
Study Mode:
On campus
Registration Fee & Tuition Information:
The total tuition fee for the Standard Track (120 ECTS) is โฌ32,800, with a fee of โฌ8,200 per semester. For the Fast Track (90 ECTS), the total tuition fee amounts to โฌ24,600, with a fee of โฌ8,200 per semester. An application fee of โฌ50 applies to all apัliัants.
Program Video
01:16 min
Lead the Digital Future โ Master in Business Analytics & Data Science at KLU
Five Reasons to choose this Master's Program
1
Master Data-Driven Leadership
Build expertise in data analytics, machine learning, and decision science while developing the leadership skills you need to drive strategic impact in today's data-driven world.
2
Learn by Doing
Learn through a hands-on, project-based approach that includes real-world case studies, a mandatory internship, and a capstone project to build practical career-ready skills.
3
Specialize in Logistics Analytics
Leverage the school's global reputation in logistics and supply chain management. This program blends data science with logistics to prepare you for high-demand roles worldwide.
4
Unique Corporate Sponsorship Opportunities
KLU's corporate sponsorship program offers eligible students up to 100% tuition coverage. Partner with top companies like Deloitte or IBM for industry experience and a career edge.
5
Access to a Global Business Network
Connect with an extensive corporate network and engaged alumni community. Benefit from dedicated career services, exclusive job offers, and recruiting events that launch careers.
Learn how to transform data into actionable insights with KLUโs M.Sc. in Business Analytics and Data Science! This program equips students with cutting-edge expertise in scientific programming, machine learning, data analytics, and decision-making. Designed with hands-on learning at its core, students gain real-world experience through project-based learning and a mandatory internship. Located in Hamburg's vibrant HafenCity, Kรผhne Logistics University stands out with its global network and specialization in logistics and supply chain management, offering an ideal environment for mastering data-driven decision-making in complex industries.
Target Groups
Curriculum
Study Mode
Career Prospects
This program is tailored for ambitious students with a keen interest in data-driven decision-making, analytics, and digital innovation. Ideal candidates are those eager to build careers in business analytics and thrive in dynamic, data-intensive environments.
This masterโs program offers an interdisciplinary approach, combining advanced technical knowledge with business-oriented problem-solving skills.
Students will engage in comprehensive coursework covering essential subjects such as data science, business analytics, machine learning, and operations research. Key areas of study include applied research methods, statistical analysis, scientific programming, and big data management.
The curriculum also integrates practical experiences through capstone projects, internships, and opportunities for international exposure.
By blending academic rigor with real-world applications, students are well-prepared to address complex challenges in data-driven industries.
The M.Sc. in Business Analytics and Data Science is conducted on campus at Kรผhne Logistics University in Hamburgโs dynamic HafenCity district. Depending on the chosen track, the program duration is either 1.5 years (fast track) or 2 years (standard track). Some of it's key highlights are:
Project-based learning integrated with real-world scenarios
Excursions and business simulations led by industry experts
A 3-month mandatory internship to develop hands-on skills
International exposure, including a semester abroad (for standard track students)
Close cooperation with leading corporations through KLUโs extensive business network, including global names like IBM, Deloitte, KPMG, and Google.
This practical, diverse study mode ensures students are well-prepared for real-world challenges.
With the increasing reliance on data for strategic decision-making, graduates of this program are in high demand across various industries. They can pursue careers as:
Data Analyst
Data Scientist
Business Intelligence Specialist
Operations Research Analyst
Supply Chain Analyst
Digital Transformation Consultant
Innovation Strategist
KLUโs extensive corporate network, which includes companies like IBM, Deloitte, KPMG, and Google, offers graduates unparalleled opportunities for internships, networking, and career advancement.
Germany's strong economy and innovative industries await. An 18-month post-study work visa gives you ample time to secure high-paying roles in analytics or digital transformation.
Expand Your Horizons
Broaden your cultural and academic horizons with a semester abroad at one of KLU's 60+ partner universities. Gain international exposure while enriching your academic profile. โ More Info
Study in the Heart of Hamburg
Hamburg, a cosmopolitan port city, blends career opportunity with vibrant urban life. Its rich legacy in trade makes it an ideal place to study business analytics and data science.
FIBAA (Foundation for International Business Administration Accreditation) is a European, internationally oriented agency for quality assurance and quality development in higher education, based in Zรผrich (Switzerland) and Bonn (Germany).
AACSB
AACSB
The Association to Advance Collegiate Schools of Business, also known as AACSB International, is an American professional accreditation body. Only 6% of the business degree programs offered worldwide have received AACSB accreditation to date. It is the longest-standing, most recognized form of specialized accreditation that an institution and its business programs can earn. AACSB-accredited schools put a special focus on the highest quality faculty, relevant and challenging curriculum, and provide outstanding educational and career opportunities.
Operations Research, Data Analytics, Business Analytics, Quantitative Techniques
ECTS Requirements
Standard Track: A bachelorโs degree with a minimum of 180 ECTS.
Fast Track/Part-Time Track: A bachelorโs degree with a minimum of 210 ECTS. Additionally, applicants for the fast track or part-time track must have completed either:
At least one academic term abroad during their bachelorโs studies, or
An officially recognized internship abroad that was part of the bachelorโs ัrฮฟgram.
2
Proof of Background Knowlะตdgะต
High performance in quantitative courses is required. Examples of recognized quantitative courses include:
Mathematics, Microeconomics, Finance, Analytics
Statistics, Operations Research, Econometrics
Quantitative Methods, Numerical Mะตthฮฟds
3
International Experienัะต
Students applying for the fast track or students who are looking to have the semester abroad waived need to:
prove they have studied in a country other than Germany for at least 6 months OR
completed an internship as part of their studies in a country other than Germany for at lะตast 6 mฮฟnths.
Language Requirements
The following certificates are recognized as proof of your language proficiency.
English
Cambridge
min C1 Advanced (CAE) Specification: CAE (Grade C) / CPE (180 points) / FCE (Grade A)
IELTS
min 6.5
TOEFL iBT
min 90
PTE Academic
min 61
Does the university recognize "other equivalent language certificates"? no information provided by university
The application deadline for the M.Sc. Business Analytics and Data Scienัะต at Kรผhne Logistics University depends on the country where you obtained your previous degree. For applicants with a degree from non-EU countries, the application deadline is 31 May for the winter semester. Applications are made: Directly at university.
A personal statement explaining motivation and goals for joining the prฮฟgram.
6
APS Certifiัatะต
For applicants who completed a degree in India, Vietnam or ะกhina.
Podcast
42:43 min
Meet David & Michael, lifelong friends and partners in crime
Heard of love at first sight? This is more like โfriendship at first talkโ. Exchanging a few words was enough for David and Michael to know they had found a real soulmate, matching each otherโs craziest ideas. From gaming together to becoming business partners, they have gone through it all, and have the greatest tips for a healthy relationship. Throw in the mix drones, AI, unstoppable energy, laughter, and a bit of insanity, and you've got the recipe for a lifelong and meaningful connection.
Testimonials
There is a high demand for skilled professionals: companies across industries are actively seeking individuals who can harness the power of data to make informed decisions, driving up the demand for experts in this field, meaning high opportunities for career and salary advances.
Work with the newest technologies: you have the opportunity to utilize state-of-the-art tools and technologies, such as advanced analytics platforms, machine learning frameworks, and big data solutions, stay engaged with the latest tech trends keep your skill set relevant and in-demand.
Live Webinar 
English
German Students 
Other EU Students 
Non-EU Students 
