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Overview

Overview

 

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 (Predictive Analytics) and use the predictions to optimize business objectives (Prescriptive Analytics using Operations Research techniques).

Our master program focusses on Machine Learning, Artificial Intelligence, Operations Research and Decision Making and is aimed at young professionals with a STEM (Science, Technology, Engineering, Mathematics) background. The program runs for 4 semesters full time, including 1 semester for the Master thesis. In this time students will gain 120 ECTS. The tuition fee of the program is 30,000 euros (+ social contribution fee at RWTH Aachen, approx. 270 euros per semester). Multiple options for scholarships are available.

The DDS offers courses in Data Science and machine learning, decision science and optimization technologies. The core modules are accompanied by a wide range of elective courses covering the latest in state-of-the-art technologies and deep-dives into specific verticals, like industry production, logistics and supply chain management or energy and climate. Your own research towards the master thesis will be done in the 4th semester.

Programme Structure

The M. Sc. in Data Analytics and Decision Science offers a comprehensive program of core courses in machine learning, mathematical and heuristic optimization and data-driven decision making. 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.

Entry Requirement

  • First university degree, required qualifications according to the examination regulations
  • Proficiency in English

Career Prospects

 

The M. Sc. in Data Analytics and Decision Science has been carefully designed to equip ambitious professionals with a STEM background with a distinct set of skills needed to succeed in a digitized and globalized economy.

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-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 M.Sc. degree, granted by RWTH Aachen University in Germany, will also enable you to pursue an academic career and continue studying towards a PhD in fields such as Data Science, Machine Learning & Artificial Intelligence, Operations Research and Engineering.

Whichever way you want to follow after graduation: Our dedicated team of experts in the career and entrepreneurship centers will accompany you on that journey and help you decide how to best realize your ambitions, be it an exciting new job or starting your own business. We seek to place our graduates in global technology blue chips, hidden technology champions, leading technology consultancies and fast-growing technology ventures. The Entrepreneurship Center at RWTH Aachen University also has a long track record of supporting innovative startups by our graduates – between 70 to 100 every year.

The following list gives an idea of the possible data scientist jobs for the successful student of the Master Program, combining Data Science and Operations Research:

  • Retail and Value Chain Management
  • Industry and Production
  • Transportation and Mobility
  • Energy and Climate


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