TU Dortmund University is becoming more and more international. Almost 4,000 students from around 115 countries are enrolled here; they make up about 11 percent of all 34,500 students. This is mirrored in the University’s course portfolio: TU Dortmund University offers six master’s degree programs or master’s specializations that are conducted entirely in English. Contents, program structure and cooperation partners: Please find here all the most important information at a glance.
Industry 4.0, artificial intelligence, automated driving and smart and collaborative robots have become omnipresent in science, research, and industry. These rapidly advancing technologies have a substantial impact on the economy, society, and all aspects of life: The robots of the future will collaborate with humans in the workplace and assist them in health care, rehabilitation, services, education, and entertainment. More than 450 graduates of the M.Sc. degree program “Automation and Robotics” are already actively engaged in shaping the future of robotics and automation in academia and industry.
TU Dortmund University invites national and international students to join the two-year master’s program: During their studies, they will acquire theoretical knowledge in class, gain practical experience in the lab and in the framework of a six-month individual research project for their master’s thesis, and participate actively in research and development.
The program is affiliated with the faculties of Electrical Engineering and Information Technology, Mathematics, Mechanical Engineering, Computer Science, and Biochemical and Chemical Engineering. In addition, the Fraunhofer Institute for Material Flow and Logistics (IML) plays an active role in teaching and research, providing opportunities for student projects and master’s theses.
Studies start with compulsory subjects in the first semester in order to give students from different engineering disciplines an equal academic foundation in mathematics, programming, and the fundamentals of robotics and automation. The mandatory courses form the basis for the advanced, specialized courses in the second and third semester. Here, students elect courses from one of three specializations – robotics, process automation or cognitive systems.
The specialization “Process Systems Engineering” in the M.Sc. degree program in Chemical Engineering enables students to work on the design and operation of complex chemical and biochemical production systems using mathematical models and state-of-the-art computer tools for simulation and optimization. This includes advanced control and production scheduling methods and the analysis and description of experimental data.
Process Systems Engineering is a carefully planned course where students do not repeat core chemical engineering subjects, such as thermodynamics, mass transfer or heat transfer etc., but instead have the opportunity to study subjects such as process control or industrial automation. In addition, students can learn how to use specialist software, for example Aspen or GProms.
Students learn in a truly international class and work together with peers from other countries, cultures, and backgrounds. Joint work in tutorials, lab exercises and project groups broaden their horizons and enable them to interact professionally in international teams and organizations.
The courses provide an education which is fundamental yet detailed as well as challenging both in terms of science and practice, while additionally focusing on soft skills and languages. Beyond a sound knowledge of engineering, students acquire a working knowledge of German and technical English and develop social skills through group projects and seminars. Graduates of this master’s program enjoy excellent employment prospects in both industry and higher education.
The two-year M.Sc. degree program in Data Science builds on the Data Science B.Sc. degree program and can be started in either the summer or the winter semester. It is run jointly by the Faculties of Statistics, Computer Science, and Mathematics and provides a sound basis in statistical and mathematical theory as well as teaching contemporary methods and knowledge. As a result, graduates are capable of working scientifically and of reflecting critically on scientific findings and implementing them responsibly.
The ability to communicate methods and their application at an interdisciplinary level, especially at the interface between statistics, computer science, mathematics and their fields of application, is a key aspect of the program.
Students who have already completed a B.Sc. program in statistics, mathematics, computer science or a related field may be admitted to this master’s program (possibly with certain restrictions). All mandatory courses are taught in English, elective courses in German may be offered.
Building on preceding studies, the advanced courses cover statistical theory, statistical learning, big data, and the application of methods in chosen areas of study. Emphasis is placed on the development and application of efficient procedures for analyzing in particular very large amounts of data. On the one hand, the English-language program prepares national students for international positions and, on the other hand, it gives international students the opportunity to gain a foothold in Germany.
Please note that the B.Sc. program „Data Science“ is taught in German.
Econometrics is a four-semester master’s degree program offered by TU Dortmund University, Ruhr-University Bochum and the University of Duisburg-Essen. The program is run jointly by the economics faculties of the three universities and the Faculty of Statistics at TU Dortmund University. It combines the expertise and breadth of the participating faculties in economics and empirical economic research with the methods-oriented training of the statisticians and econometricians at Germany’s only statistics faculty.
Students acquire the ability to combine methodological skills with expertise in economics. They gain extensive knowledge of econometric methods and models and an in-depth understanding of central economic causal relationships and the resulting econometric outcomes. The program particularly helps students interested in research to develop the analytical skills needed to address specific research questions in economics and thus prepares them well for doctoral studies in econometrics or neighboring disciplines. The program is also excellent preparation for a career in econometrics, empirical economic research, evidence-based policy consulting or operational research.
Most modules consist of several courses which may be chosen according to students’ individual interests. Core courses address key concepts in statistical theory, econometrics and time series analysis. The core curriculum also teaches skills in project management, consulting, and applied research. A large portfolio of electives and seminars on specialized topics enables students to deepen their knowledge in selected fields of econometric theory and applied economic research, e.g., health economics or financial econometrics.
Graduates receive a joint M.Sc. degree from the four participating faculties.
The M.Sc. in Manufacturing Technology (MMT) focuses on the analysis of advanced manufacturing problems with a strong emphasis on the combination of scientific theory-based courses and experimental industrial setups. The English-taught master’s degree program provides an excellent university education for outstanding, motivated, and dedicated students within a research-based framework complemented by industrial cooperation.
In the first two semesters, students gain deep, theoretical knowledge in the field of manufacturing technology. In addition, they choose elective modules according to their individual interests. The second year of study is dedicated to acquiring practical skills by completing the laboratory and scientific (industrial) project work modules. Students also learn how to organize and implement team projects.
Thanks to the program’s internationality, students acquire intercultural skills. The “Interdisciplinary Qualification” module allows students to familiarize themselves with the methodologies of other disciplines such as the humanities or the social or economic sciences. Skills acquired in rhetoric and language courses can be applied in everyday working life and contribute to students’ personal development.
SPRING stands for Spatial Planning for Regions in Growing Economies and is a two-year master’s degree program that addresses current spatial planning topics in developing and emerging countries. For example, SPRING students discuss the challenges of rapid urban growth, reflect on the conflict between environmental protection and economic development, design concepts to improve transport systems or define strategies to cope with the impacts of climate change.
The first year of the SPRING program takes place at TU Dortmund University, followed by a second year at one of the four partner universities in Ghana, Tanzania, the Philippines or Chile (Chile is currently not available as a second-year destination, it will likely be included again in 2021).
Each of the SPRING partner institutions has special academic expertise, which is reflected in the respective curriculum and course offer. Specializations or study foci vary from Urban Planning at Ardhi University to Sustainable Development Planning and Management at the Kwame Nkrumah University of Science and Technology, Environmental Economics in Planning at the Universidad Austral de Chile, and Special Problems in Regional Planning (Climate Change Adaptation and Disaster Risk Reduction and Management) at the University of the Philippines.
If you are an international student thinking of coming to TU Dortmund University, the International Office is the right point of contact. Visit its website to find out more about the application process.
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Anfahrt & Lageplan
Der Campus der TU Dortmund liegt in der Nähe des Autobahnkreuzes Dortmund West, wo die Sauerlandlinie A45 den Ruhrschnellweg B1/A40 kreuzt. Die Abfahrt Dortmund-Eichlinghofen auf der A45 führt zum Campus Süd, die Abfahrt Dortmund-Dorstfeld auf der A40 zum Campus-Nord. An beiden Ausfahrten ist die Universität ausgeschildert.
Für E-Autos gibt es eine Ladesäule am Campus Nord, Vogelpothsweg.
Direkt auf dem Campus Nord befindet sich die S-Bahn-Station „Dortmund Universität“. Von dort fährt die S-Bahn-Linie S1 im 20- oder 30-Minuten-Takt zum Hauptbahnhof Dortmund und in der Gegenrichtung zum Hauptbahnhof Düsseldorf über Bochum, Essen und Duisburg. Außerdem ist die Universität mit den Buslinien 445, 447 und 462 zu erreichen. Eine Fahrplanauskunft findet sich auf der Homepage des Verkehrsverbundes Rhein-Ruhr, außerdem bieten die DSW21 einen interaktiven Liniennetzplan an.
Zu den Wahrzeichen der TU Dortmund gehört die H-Bahn. Linie 1 verkehrt im 10-Minuten-Takt zwischen Dortmund Eichlinghofen und dem Technologiezentrum über Campus Süd und Dortmund Universität S, Linie 2 pendelt im 5-Minuten-Takt zwischen Campus Nord und Campus Süd. Diese Strecke legt sie in zwei Minuten zurück.
Vom Flughafen Dortmund aus gelangt man mit dem AirportExpress innerhalb von gut 20 Minuten zum Dortmunder Hauptbahnhof und von dort mit der S-Bahn zur Universität. Ein größeres Angebot an internationalen Flugverbindungen bietet der etwa 60 Kilometer entfernte Flughafen Düsseldorf, der direkt mit der S-Bahn vom Bahnhof der Universität zu erreichen ist.