M.Sc. On Campus

Data Analytics and Decision Science

RWTH Business School

24 months
Tuition fee
Apply date
Start date


Become tomorrow’s technological expert by enrolling in our Master of Science which combines the fields of Data Analytics and Decision Science. Learn how to develop state-of-the-art predictive models and how to make decisions that optimize business objectives.


Our world and businesses in particular face disruptive change due to exponential growth of both the amount of data which can be captured from a wide range of data-sources and the computational capabilities to process the data. 

Key Features 

  • Future experts and managers will need to understand how to leverage Operations Research and Analytics to create value from data – this is what you will learn in our M.Sc. Data Analytics and Decision Science (DDS).
  • The master program is designed at the intersection of the fields of Data Analytics and Decision Science (Operations Research) and graduates will learn how to combine machine learning and deep learning techniques with mathematical optimization approaches, heuristic algorithms, and simulation techniques to create value in specific application areas – a distinct set of skills needed to succeed in a digitized and globalized economy.
  • Student-centered learning: All courses are based on a participant-centered approach that emphasizes interaction between instructors and participants through case discussions, group presentations, debates, or lab sessions.
  • Interdisciplinary mindset: Most courses focus on the intersection between technology and decision making, helping you tackle real-world challenges from multiple perspectives and providing you with a truly interdisciplinary mindset.
  • Hands-on experience: In most courses, you have the opportunity to work on real-world challenges, enabling you to apply the knowledge gleaned in class and gain hands-on experience.
  • Intercultural teams: As working in multicultural teams is a given in today’s world, most courses feature group projects where you can solve managerial and technological challenges in culturally diverse teams.

Student Testimonials:

Shruthi Manivannan: I am very happy with how interactive and easily approachable professors and student coordinators are. In case of any doubt with regards to subjects or organizational issues, we are able to easily reach out to the faculty.

Roney Mathew: The course is very industry-relevant and the topics are very much trending job skills. I also like the practical application-oriented course structure and how it is the right blend of management and technical courses.


RWTH Aachen University is ranked number one in the field of Statistics & Operational Research in Germany by the QS World University Ranking.

Additionally, the school of business and economics at RWTH Aachen University is one of the few faculties in Germany to bear the international seal of approval of the renowned accreditation agency Association to Advance Collegiate Schools of Business (AACSB).

Programme Structure

The program offers a comprehensive curriculum of core courses in fields like machine learning, deep learning, and artificial intelligence or mathematical optimization, heuristic algorithms and simulation techniques. These courses are  accompanied by a wide range of elective courses offering deep-dives into specific application areas. Our courses combine demanding and cutting-edge research with practical projects and challenges. We continuously review and expand the set of electives to cover the latest trends and stay abreast of technological change.

The two-year full-time program consists of seven key building blocks, some of which can be customized to meet your individual needs and interests. You may also enroll in a German language course at no extra cost.

Courses include for example:

  • Statistics and Mathematics
  • Algorithms and Data Structure
  • Predictive Modeling
  • Machine Learning
  • Heuristic Optimization


The high relevance of the program attracts talented participants from around the world with a wide range of professional backgrounds. Enrolling will not only allow you to gain a distinct set of skills needed to succeed in today’s economy. It will also enable you to gain a truly global perspective on Data Analytics and Decision Science and to build a vibrant network that will last for a lifetime.

Key information


  • Full-time
    • 24 months

Start dates & application deadlines

More details

Our application portal opens each year on October 1, there is no application fee. Apply before January 15 to benefit from our Early Bird discount of 3,000 €!


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

Work experience

Courses within the program also address a broad set of technology and management challenges from current practice. Applicants thus need to have at least 12 months of professional work experience.

Technological requirements

RWTH Business School is looking for applicants who have a background in a technological area and at least a Bachelor’s degree in a STEM field. Applicants need a minimum of 15 credit points in the fields of higher mathematics or statistics, or similar, as well as at least 125 credit points mathematics and/or natural sciences (e.g. physics, chemistry, computer science or similar).

Tuition Fee

Living costs for Aachen

813 - 1131 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


RWTH Business School offers several scholarships of 4,000 € where you may apply for:

  • Academic Performance
  • Entrepreneurial Mindset
  • Women in Tech
  • Social Impact

The scholarships have been designed to support highly qualified students in pursuing the International Master’s programs at the RWTH Business School. Additionally, the RWTH Business School Excellence Scholarship of 6,000 € is awarded to particularly outstanding candidates who convince us holistically – with their academic achievements, their professional and social commitment, and their motivation. The scholarship recipients are exclusively selected by the Admission Team; an application is not possible.

More information can be found on our website.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Analytics and Decision Science
RWTH Business School


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