Students
Tuition Fee
EUR 8,200
Per semester
Start Date
2026-09-01
Medium of studying
On campus
Duration
2 years

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Details
Program Details
Degree
Masters
Major
Business Analysis | Data Analytics | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 8,200
Intakes
Program start dateApplication deadline
2026-09-01-
About Program

Program Overview


Master of Science in Business Analytics and Data Science

Be part of the next generation of data-driven leaders. Learn how to harness the power of big data, turning raw information into actionable insights that drive better decisions.


Program Overview

  • Program: Master of Science in Business Analytics and Data Science
  • Start Date: Every September
  • Language of Instruction: English
  • Duration:
    • Standard Track: 2 years / 4 semesters
    • Fast Track: 1.5 years / 3 semesters
  • Program ECTS:
    • Standard Track: 120 ECTS
    • Fast Track: 90 ECTS
  • Internship: Integrated in both standard and fast track
  • Semester Abroad: Integrated in standard track (1 semester)

Admission Requirements

  • Bachelor's Degree: (or equivalent) in business/economics, engineering, computer science, or mathematics. Other degrees may be considered if they include at least three quantitative courses.
  • ECTS Requirements:
    • Standard Track: 180 ECTS
    • Fast Track: 210 ECTS (plus one academic term abroad or an officially recognized internship abroad during previous studies)
  • English Language Proficiency: B2 level

Application Deadlines

  • Early-Bird Deadline (10% tuition discount): January 15
  • International (non-EU) Applicants: May 31
  • European Applicants: July 15
  • Program Start: September 1 each year
  • Application Fee: €50

Tuition Fees

  • Standard Track: EUR 8,200 per semester
  • Fast Track: EUR 8,200 per semester

Financing & Scholarships

Kühne Logistics University is committed to educating talented minds regardless of financial background by offering a variety of scholarships and tuition financing options:


  • Brain Capital: This innovative financing model allows you to defer part or all of your tuition until after graduation, with income-based repayments.
  • Loan Schemes: Available to cover living expenses.
  • Scholarships:
    • Limited merit-based and need-based scholarships.
    • Sports scholarships available for top athletes.
    • Full tuition fee waiver for students with grants from gifted education institutions.
    • Support for students from refugee communities in Hamburg.

Career Opportunities

A master's degree in Business Analytics and Data Science opens numerous career pathways in today's data-driven organizations, including:


  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Operations Research Analyst
  • Business Process Analyst
  • Supply Chain Analyst
  • Digital Transformation Strategist
  • Intrapreneur
  • Consultant, among others.

Why Study in Germany?

Germany is renowned for its world-class universities and robust economy, making it a prime destination for ambitious students. Graduates are permitted to legally work in Germany for up to 18 months post-graduation, providing ample opportunity to secure employment.


Why Hamburg?

Hamburg, a major logistics hub and Germany's second-largest city, is celebrated for its vibrant culture and high quality of life, merging professional opportunities with leisure activities.


Additional Information

  • The global market for Business Analytics and Data Science is projected to reach USD 684.12 billion by 2030.
  • Demand for qualified experts is exceptional, with a forecasted CAGR of 13.5% until 2030.
  • The average annual salary for business analytics roles in Germany is approximately €60,000.
  • Business analysts and data scientists consistently rank among the most in-demand job positions in Germany.

This rigorous program is designed to equip students with essential skills necessary for success in the competitive field of analytics and data science.


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