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.
Future Data Analytics and Decision Science experts will need to bring together expertise from a wide range of fields, like machine learning, deep learning, and artificial intelligence or mathematical optimization, heuristic algorithms, and simulation techniques.
Hence, the M.Sc. DDS offers a comprehensive program of core courses in the mentioned fields. 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.
Students enrolled in this program will learn fundamental and leading-edge advances in machine learning, artificial intelligence, operations research, and decision science. The courses are taught by world-leading experts in their respective fields. Elective modules allow the student to specialize in a variety of fields such as production or logistics to gain a deep understanding of specific industries.
Our Teaching Approach
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.
The M.Sc. DDS is delivered by the RWTH Business School and University as well as leading partners in academia and industry around the world. Choose between an exchange with one of the leading universities or gain hands-on work experience at one of our cutting-edge industrial partners.
Data is becoming the new “oil”, the raw material from which value is created as businesses become predictive enterprises and digitize their value chain. Each industry sector and application area will benefit from deriving optimal business decisions using data-driven techniques. Operational decisions are supported or even automated using state-of-the-art machine learning models combined with optimization techniques. Data-driven decisions become mission-critical in one vertical after the next. Many professions will face disruptive change, job descriptions will change significantly as data- and algorithm-driven decisions are at the core of creating value for businesses and new jobs will emerge. Tasks currently performed manually or supported by simple approaches will require specialized knowledge in Data Analytics and Decision Science, machine learning, and optimization techniques in the future.
The following list gives an idea of the possible data scientist jobs for the successful student of the Master Program, combining data analytics and operations research.
Retail & Value Chain Management
Industry & Production
Transportation & Mobility
Energy & Climate
Further Application Areas
Further Career Prospects
The high relevance of the M.Sc. DDS attracts talented participants from around the world with a wide range of professional backgrounds. Enrolling in the M.Sc. DDS 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.
100% of our students are STEM graduates.
They have Bachelor’s degrees, amongst others, in Computer Science, Electronics & Communication Engineering, Mathematics & Statistics, Telecommunications & Electronics, Mechanical Engineering, Industrial Engineering, and Automobile Engineering.
6 nationalities are represented.
Their age ranges between 24 and 32 with a mean of 27 years.
They have an average full-time work experience of 3.5 years.
20 percent of the students are female.
Previous Employers Of Our Graduates
Previous employers of our graduates include leading international technology firms such as Accenture, Caligo, Capgemini, Thyssenkrupp, Caterpillar, Robert Bosch, SandvineInc., Nuclear Power Corporation, HCL Technologies, TEK Systems, Infosys, Delphi Automobile and Scandinavian Health Ltd, etc.
All students are welcome to apply for the next intake in the winter semester 2021/22 (starting in October 2021).
Our application portal is open from October 2020 for EU applicants and international applicants who hold an academic degree from a European university and closes on July 15, 2021.
For non-EU applicants, our application portal is open from December 2020 until March 1, 2021.
To apply for the M.Sc. in Data Analytics & Decision Science, you need to prove different academic and English language requirements.
There is no application fee.
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.
English Language Requirements
For all of our master’s programs certified proof of your competence in the English language through the completion of one of the accepted examinations listed below is needed:
TOEFL Internet-based minimum of 90 points
IELTS (Academic) test minimum overall band 5,5 points
Cambridge Test – Certificate in Advanced English (CAE)
First Certificate in English (FCE), completed with a B
Placement-Test of RWTH Aachen University’s language center (B2)
For German applicants: A certificate attesting English language skills at level B2 of the Common European Framework of Reference for Languages (CEFR). This proof is provided, for example, by the submission of a German Abitur certificate, which shows that English has been continuously taught until the end of qualification phase 1 (grade 11 for G8 A-levels, otherwise grade 12) and has been completed with at least sufficient marks.
The score report needs to be presented during enrollment.
The score report must not be older than two years by August 1 of the year your degree course will start.
Please do not send the original TOEFL or IELTS score sheets to the university (also not via ETS).
Exemptions for the language requirements are only applicable for nationals or first-degree holders from the USA, the UK, Canada, Ireland, New Zealand, and Australia.