Courses are held in English (100%). Additional German language courses are provided.
More information on beginning of studies
October of each year (Welcome events start in September)
Non-EU applicants: 1 March of each year for the following winter semester EU applicants: 15 July of each year for the following winter semester
Tuition fees per semester in EUR
Additional information on tuition fees
30,000 EUR for the entire programme
Combined Master's degree / PhD programme
Joint degree / double degree programme
Algorithm economy, data-driven decision making, industry 4.0, deep learning, artificial intelligence, optimisation, data analytics, decision science - these are just some of the phrases that we read in the headlines with increasing frequency. The world is on the brink of a new industrial revolution, one in which data, algorithms, and analytical thinking will be the key ingredients of value creation, ingredients that global leaders now recognise as their most valuable assets.
Enterprises tackling the challenges of tomorrow need to develop new data-centric strategies and leadership, and crucially, must ensure that they attract the most qualified personnel at all levels in the organisation, personnel who have the skills to put data-driven approaches into practice and create value for business from data.
Innovation springs from the brightest minds. Become a leader of tomorrow by joining our new Master of Science in Data Analytics and Decision Science (DDS). The DDS is positioned at the intersection of data analytics and operations research. Our courses bring together expertise from a wide range of fields: machine learning, artificial intelligence, mathematical optimisation, heuristic algorithm, design and simulation. Electives and domain specialisations will give you a competitive advantage in your chosen field. Designed for professionals with a STEM (science, technology, engineering, mathematics) background, the DDS begins with the fundamentals and takes you right up to the cutting-edge of machine learning, artificial intelligence, and exact and heuristic optimisation. Projects in data science and optimisation will give you hands-on experience tackling real-world problems. Electives and the chosen specialisation will allow you to develop comprehensive domain knowledge and subject matter expertise in engineering and a range of application areas and industry sectors.
The MSc Data Analytics and Decision Science offers a comprehensive programme of cutting-edge courses and is designed as a full-time experience over the course of two years (four semesters). It consists of seven key building blocks, some of which can be customised to meet your individual needs and interests.
DDS Essentials (10 CP to be completed in semester 1) The “DDS Essentials” consist of two courses that cover and refresh relevant essentials in mathematics, statistics, algorithms and data structures.
Data Analytics (10 CP to be completed in semesters 1 and 2) The module “Predictive Modelling” covers the fundamentals of data handling and data quality issues, predictive modelling and validation of business and use cases as well as evaluation of predictions. The course “Machine Learning and Artificial Intelligence” will focus on the fundamentals and cutting edge developments in machine and deep learning.
Decision Science (15 CP to be completed in semesters 1 and 2) This block consists of three modules: The module “Optimisation Models” introduces the concepts behind building state-of-the-art decision models. The module “Design and Analysis of Algorithms” focuses on modern methods to solve these optimisation models. The module “Heuristic Optimisation” covers the fundamentals of metaheuristics and the challenges encountered when designing high-performance heuristics for complex planning tasks in different domains.
Analytics Project (10 CP to be completed in semester 2) The analytics project is a practical exercise that complements the lectures from the Decision Science and Data Analytics blocks. Teams of three to six students work together on an analytics project with a practical orientation and go through almost the entire analytics process using machine learning and optimisation techniques.
Management and Soft Skills Electives (10 CP to be completed in semester 2) Choose two of the following elective courses to deepen your managerial competences:
Engineering, Culture, & Society
Strategic Technology Management
Managing the Innovation Process
Service and Technology Marketing
Start-Up and Growth Management
Entrepreneurial Marketing and Finance
Technology Electives (5 CP to be completed in semester 2) You choose one of three possible elective courses: Advanced Machine Learning, Principles of Data Mining, or Industrial Logistics.
Internship or Study Abroad (15 CP to be completed in semester 3)
Application Areas (15 CP to be completed in semester 3) Gain detailed insight into the following domains: Digital Operations and Supply Chain Management, Optimisation of Logistics Systems, Energy & Climate
Master's Thesis (30 CP to be completed in semester 4)
German Language Courses (one course to be completed in semesters 1 or 2) As part of the programme, we offer the option to complete an intensive German language course to broaden your cultural understanding and enhance your career options at no extra cost.
International comparisons and thematic reference to the international context
Integrated study abroad unit(s)
Apply your skills in an industry work placement at global enterprises such as Deutsche Post DHL, PTV Group and others, deepen your knowledge by studying at an international university, or participate in summer schools or online courses.
An internship is to be completed in the third semester. Programme advisers will assist students in finding an appropriate internship.
Course-specific, integrated German language courses
Course-specific, integrated English language courses
Tuition fees per semester in EUR
Additional information on tuition fees
30,000 EUR for the entire programme
All students at RWTH Aachen University are subject to the current semester fee of approx. 280 EUR per semester. It includes, among other benefits, a semester ticket covering public transport in the federal state of North Rhine-Westphalia.
Funding opportunities within the university
Description of the above-mentioned funding opportunities within the university
The RWTH Business School offers several partial scholarships of up to 2,500 EUR to be awarded for academic excellence, leadership and entrepreneurship in the field of technology and social engagement. The scholarships have been designed to support highly qualified students in pursuing a Master's degree programme at RWTH Business School and cover up to 2,500 EUR of the tuition fees for the DDS programme.
- reference letter from a professor/adviser (maximum one page)
- statement of purpose (maximum one page)
Please submit your application online together with your application for the Master's programme.
Additionally, we will assess your previous academic performance and award the partial scholarships to the best applicants. Please note that the committee's decision will be final and is not subject to legal recourse.
For more information, have a closer look at: https://www.business-school.rwth-aachen.de/en/faq/financing-and-scholarships/
Academic Admission Requirements
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 at least:
125 credit points in mathematics and/or natural sciences (e.g., physics, chemistry, computer science, or similar)
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
International students may take up work in the private sector during the semester or the semester break for up to three months without having obtained a work permit. Therefore, students may take up full-time work for 120 days or part-time positions for 240 days. This regulation is also stated on the residence permit. During the semester, students are allowed to take up jobs with working hours of up to 19 hours a week.
Student assistants are more flexible regarding working hours.
Availability of university accommodation in Aachen is limited. Therefore, participation in individual allocation procedures is usually required. Because of the demand for university accommodation, it can be necessary to switch to the private accommodation market.
Especially family and couples apartments are very high in demand, so that accommodation from the private market is seemingly mandatory. The majority of RWTH Aachen University's students are committed to the private accommodation market.
There are a number of options for finding private accommodation in and around Aachen. Accommodation on the private market is priced between 290 EUR and 550 EUR per month, of course depending on the size and the number of rooms.
For short-term accommodation, there are many hotels, a few youth hostels, and a boardinghouse located in and around Aachen (reservation is recommended).
The International Academy and the RWTH Business School provide some rooms for international students in a flat-sharing community. Please have a look at: https://housing-aachen.de/#concept.
Career advisory service
The skills, networks and experiences that our students acquire will prove invaluable in their future development. As people who speak and understand the languages of technology and business, participants at RWTH Business School will have many opportunities after graduation – whether as executives in established companies or as entrepreneurs.
In order to make effective use of these benefits for career entry, our Career Service offers support in the form of advice, events or contacts. For instance, it gives students access to a broad network of business contacts and co-operation partners in all sectors of the economy – from start-ups to SMEs and global players – both nationally and internationally.
Specific specialist or non-specialist support for international students and doctoral candidates
RWTH Aachen University
RWTH Business School’s leitmotif “The Technological Edge” stands for unique graduate and executive education that is made in Germany as well as for outstanding programmes at the intersection of management and technology. RWTH Business School provides management education for executives and young professionals and builds on the academic excellence of RWTH Aachen University and its School of Business and Economics. Located at the heart of Germany’s leading university of technology, we offer programmes that focus on developing technology leaders and entrepreneurs who are able to leverage emerging technologies into viable and socially responsible business models.
year founded: 2016 (first programmes offered in 2004)
number of students: more than 250
percentage of international students: 75
number of degree programmes: 4 (Executive MBA, MME TIME, DDS, TENT)
number of certificate programmes: up to 30
number of staff: 11
One of the highlights of our Business School is its location on the RWTH Aachen campus. Research and teaching in Aachen are first and foremost application oriented and targeted at finding practical solutions to real-world challenges. Visible evidence of this is the RWTH Aachen campus, which is being developed in close cooperation with industry and will form one of the largest research parks in Europe.
The RWTH Aachen campus creates a unique symbiosis between the world of research and the world of business. On the campus, interdisciplinary teams of researchers work closely with industry consortia in state-of-the-art buildings that have been explicitly designed and constructed for that purpose. The companies involved share resources with university institutes, exchange knowledge directly on site, and collaborate on innovations for the future. More than 280 companies are currently represented on the RWTH Aachen campus.
Research activities on the campus are structured into long-term clusters, with each cluster located in a different building. A total of 16 clusters are under development, the six initial clusters include the Bio-Medical Engineering cluster, the Sustainable Energy cluster, the Photonics cluster, the Production Engineering cluster, the Heavy-Duty Drives cluster and the Smart Logistics cluster.
The campus project at RWTH Aachen University expands the traditional sphere of pure academic research and provides an ideal environment for innovation. The university will therefore be able to face future global challenges on a much broader scale.
All central facilities and most classrooms of the Business School are located on the RWTH Aachen campus, allowing students to experience the exciting intersection of management and technology first-hand and on a daily basis.
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