Prof. Dr. Michael Schneider
Prof. Dr. Michael Schneider has headed the German Post Chair for Optimization of Distribution Networks (DPOR) at RWTH Aachen University since June 2016.
M.Sc. Data Analytics & Decision Science
Let´s explore the bottom of things!
Master of ScienceBecome a Data Expert with Multiple Options
Learn how to generate true value from data and enhance your professional profile with essential management skills. By knowing how to apply the right set of methods from the fields of Data Analytics and Decision Science to any situation, you will become a real problem solver. Be it as a coding superstar, a mediator between tech and management, or even in a leadership position, with this degree, nothing will be stopping you from building your career.
OVERVIEWMaster of Science for Young Professionals
Our unique master’s program M.Sc. Data Analytics & Decision Science makes you a data specialist.
Language | English |
|---|---|
Scope | 4 semesters, 120 CP |
Format | Full-time, on campus in Aachen, Germany |
Degree | Master of Science, RWTH Aachen University |
Study Start | October 01, 2024 |
Costs | 30.000 EUR |
Next Application Deadline | EU/EEA | Final Application: August 31, 2024 Non-EU | closed |
Career OptionsData Is Everywhere: Job Fields
Discover possible job fields you can open up with this degree.
Course ContentModules and Topics
By starting your program with relevant essentials in mathematics, statistics, algorithms, and data structures, you refresh your previous knowledge and lay the foundation for successful studies.
Further fundamentals are covered by introducing data handling and data quality, predictive modeling and validation of business- and use-cases, as well as evaluation of predictions. Additionally, cutting-edge developments in machine- and deep-learning as well as modern concepts and methods behind state-of-the-art decision-making and optimization models, are introduced. Finally, the fundamentals of metaheuristics and the challenges encountered when designing high-performance heuristics for complex planning tasks in different domains are addressed.
To complement the comprehensive program of core courses for future data scientists and deepen your managerial competencies and your knowledge of specific data-related topics, we offer a variety of management and technical elective courses. By continuously reviewing and expanding the set of electives, we strive to cover the latest trends to stay abreast of technological change. Our portfolio of electives thus enables you to tailor the program to your individual needs and interests.
The whole program follows an application-oriented approach combining the fields of data analysis and (data-based) decision-making. In addition to providing you with the necessary theoretical knowledge and data-driven techniques and methods to succeed in a digitized economy, the program also offers detailed insights into potential application areas such as Supply Chain Management or Energy and Climate Systems.
During an internship in the third semester, you apply your skills and gain hands-on work experience in an industry work placement at a medium-sized or global enterprises such as Deutsche Post DHL, BMW, Bosch, and others. You acquire knowledge about technical materials and processes used in current practice as well as corresponding economic considerations and procedures. Equally important are the insights into social processes and structures in the companies. The internship lasts at least 14 weeks.
By writing a master's thesis at the end of the program, you will demonstrate your ability to solve a methodological or analytic challenge using the knowledge acquired during the program and scientific research methods.
Course ContentCurriculum
No dusty theory, but hands-on education
Our core competency is to teach you in a method-based way to make you an industry-independent data expert. At the same time, we put a lot of emphasis on practice-oriented modules and deal with real case studies from various business partners of our ecosystem. An internship additionally secures the well-balanced mix of theory and practice as part of the curriculum. Various elective modules will give you the opportunity to specialize in both the technological and business aspects to be best prepared for your dream job. The curriculum is created in partnership with the renowned professors from the Faculty of Business and Economics at RWTH Aachen University, and is enriched by insights from leading business and industry experts.
4 SEMESTERS120 CP
Take all modules | 30 CP
- Statistics and Mathematics
- Algorithms and Data Structures
- Machine Learning
- Predictive Modeling
- Optimization Models
- Design and Analysis of Algorithms
Take all modules | 15 CP
- Heuristic Optimization
- Analytics Project
Chose your focus | 15 CP
Management (2 of 4)
- Management and Technology Perspectives
- Strategic Negotiations
- Start-Up and Growth Management
- Service and Technology Marketing
Technology (1 of 3)
- Advanced Machine Learning
- Introduction to Social Network Analysis using Advanced Data Mining*
- Intelligent Monitoring of Engineering Systems
*block week
Take all modules | 15 CP
- Digital Operations and Supply Chain Management
- Optimization of Logistics Systems
- Economic Modeling of Energy and Climate Systems
Internship | 15 CP
Master Thesis | 30 CP
Academic DirectorMeet the Academic Director of the Program
Info-Paper
After submitting the form, you will receive the info-paper on the M.Sc. Data Analytics & Decision Science directly via e-mail.
Analytics Project: Make Your Knowledge a Reality
This module is one of the highlights of your studies! You will go through an entire analytics project and learn how to apply your theoretical knowledge to an actual optimization problem. Starting by identifying the individual business need, you can then apply your machine-learning methods and operations research techniques to collect, evaluate, analyze, and interpret data. At the end of the module, you will present your solution to business representatives and directly receive valuable feedback. This project is the ideal preparation for your internship later in your studies!
On-Demand WebinarInfo-Session for the M.Sc. Data Analytics & Decision Science
Learn more about the study content from the academic director Prof. Dr. Michael Schneider first-hand!
Admission RequirementsWho We Are Looking For
Please check if you fulfill all the admission criteria for the program. Note that we give preference to applicants who completely submit the necessary documents for the verification.
- Degree completed in Engineering or Science in a related STEM field (science, technology, engineering and mathematics)
- At least 125 credit points mathematics and/or natural sciences (e.g. chemistry and/or physics) and/or computer science and/or engineering including 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
- Programming skills are beneficial for admission
- At least 1 year of professional work experience
- TOEFL Internet based minimum of 90 pts. or
- IELTS (Academic) test minimum overall band 6 pts.,
- 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 with at least sufficient marks.
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.
- CV
- Motivation letter
- At least one letter of recommendation
- Degree certificate
- Transcript of records
- Proof of professional experience of at least 1 year
- Translation of submitted documents (if your documents are not in English or German)
- Not mandatory: Other proof of performance/assessment, e.g. German language certificate, further qualifications/certificates
Optional for application (mandatory for enrollment):
- APS certificate (for Chinese, Indian and Vietnamese applicants)
- English language certificate
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UnibuddyMeet Our Students
EventsUpcoming Info Sessions
FAQFrequently Asked Questions
You require a first degree in a STEM related field with at least 125 ECTS plus an academic proof of at least 15 ECTS in one or more of the following areas: Higher Mathematics and Statistics, Databases and Information Systems, Programming, Data Structures and Algorithms, Computability and Complexity, Quantitative Methods / Operations Research. There are no specific programming skills required per se. However, Python, C++, and Julia can be valuable programming languages to know, and it is certainly beneficial to indicate them in your application.
Yes, our Career Service and Study Management team offer you guidance and support in the form of personal consultations, compass meetings, CV checks or other workshops to help you find and organize the right internship on time.
RWTH Business School is RWTH Aachen University's further education provider in the field of management. All degree programs are offered exclusively for its students and combine excellent, interdisciplinary, academic teaching with practice-oriented insights. Unlike in consecutive degree programs, students at RWTH Business School already bring professional experience with them. This not only creates an educational experience, but also an intensive exchange at eye level and an exciting professional network. This experience is additionally supported by studying in smaller groups with a special closeness to the lecturers. All this and many other exclusive services such as extensive career services, company excursions and events make the study program special. Academic responsibility lies with the professors of the Faculty of Business and Economics. Students receive a degree from RWTH Aachen University.
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