Das Master-Studium
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.
Career Prospects
At the MSc in Business Analytics and Data Science at KLU you will gain the skills that the market and the employers of the future are already seeking, such as:
- A deep understanding of data collection and processing, statistical analysis, machine learning, and artificial intelligence
- Fundamental skills in various scientific methodologies for data-driven decision-making processes leveraging the power of optimization algorithms
- Skills in critical thinking, effective written and oral communication, and presentation skills
- Critical leadership skills such as negotiation, team building, and the ability to work in diverse and intercultural teams
- Ability to work independently using academic methods in a rapid-changing context
Your future job can be: Data Analyst, Data Scientist, Business Intelligence Analyst, Operations Research Analyst, Business Process Analyst, Supply Chain Analyst, Digital Transformation Strategist, Digital Innovation Strategist, Intrapreneur, Consultant, and many more. KLU business network includes companies such as IBM, Deloitte, KPMG, Google, …
Curriculum
Standard Track
- Study Period: 2 years / 4 semesters
- Internship: Mandatory
- Semester Abroad: 1 semester / free to choose
Fast Track
- Study Period: 1,5 years / 3 semesters
- Internship: Mandatory
- Semester Abroad: No
Courses
- Applied Research Methods
- Business Process Management and Process Mining
- Capstone Project
- Database Management
- Decision Science
- Fundamentals of Business Analytics
- Fundamentals of Data Science
- Machine Learning and Deep Learning
- Management Science and Operations Research
- Master’s Thesis
- Scientific Programming
- Statistics and Econometrics
- Information Systems and Big Data
Admission Requirements
- Bachelor’s degree or equivalent from a recognized university or college.
- 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.
- Proof of English language proficiency.
Apply with your transcript of records if you have not yet received your degree certificate.
Application Deadlines
- Start of application period: November 1st
- Early Bird deadline: January 15
- Recommended international application deadline (non-EU applicants): March 31
- Final international application deadline (non-EU applicants): May 31
- Application deadline (German and EU applicants): July 15
