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Become tomorrow’s technological expert by enrolling in our Master Program 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 that can be captured from a wide range of data sources and the computational capabilities to process the data. 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.
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
MBA
Study Mode
On Campus
Become tomorrow’s technological expert by enrolling in our Master Program 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 that can be captured from a wide range of data sources and the computational capabilities to process the data. 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.
Admission Requirements
Technology Focus RWTH Business School is looking for applicants who have a background in a technological area and at least a Bachelor’s of Engineering or Science degree in a STEM field (science, technology, engineering, and mathematics). Applicants need a minimum of 15 credit points in the fields of higher mathematics or statistics, database and information systems, programming, algorithms and data structures, complexity theory, quantitative methods/operations research, as well as at least 125 credit points mathematics and/or natural sciences (e.g. physics, chemistry, computer science or similar).
Professional Work Experience Courses within the DDS 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.
Oct
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
M.Sc. Data Analytics & Decision Science
Campus Melaten, Aachen, Germany
2Scholarships
Business and Management StudiesMain Subject Area
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
MBA
Study Mode
On Campus
Become tomorrow’s technological expert by enrolling in our Master Program 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 that can be captured from a wide range of data sources and the computational capabilities to process the data. 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.
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
MBA
Study Mode
On Campus
Become tomorrow’s technological expert by enrolling in our Master Program 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 that can be captured from a wide range of data sources and the computational capabilities to process the data. 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.
Admission Requirements
Technology Focus
RWTH Business School is looking for applicants who have a background in a technological area and at least a Bachelor’s of Engineering or Science degree in a STEM field (science, technology, engineering, and mathematics). Applicants need a minimum of 15 credit points in the fields of higher mathematics or statistics, database and information systems, programming, algorithms and data structures, complexity theory, quantitative methods/operations research, as well as at least 125 credit points mathematics and/or natural sciences (e.g. physics, chemistry, computer science or similar).
Professional Work Experience
Courses within the DDS 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.
Scholarships
RWTH Business School Social Impact Scholarship
Value
$4703
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
RWTH Business School Excellence Scholarship
Value
$7055
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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