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English-taught Degree Programs

TU Dort­mund Uni­ver­sity is becoming more and more in­ter­na­tio­nal. More than 4,000 students from around 115 coun­tries are enrolled here; they make up about 11 percent of all 34,300 students. This is mirrored in the Uni­ver­sity’s course portfolio: TU Dort­mund Uni­ver­sity offers several 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.

How to apply

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.

International Office

Advanced Methods in Particle Physics (IMAPP)

Please note that this degree program is currently still in the accreditation process. Any conditions imposed by the accrediting agencies may result in the modification or cancellation of the degree program.

The International Master of Advanced Methods in Particle Physics (IMAPP) is a joint degree program offered by the Uni­ver­sity of Bologna (Italy), the Uni­ver­sity of Clermont Auvergne (France) and TU Dort­mund Uni­ver­sity (Germany), and it is supported by internationally re­nowned partner in­sti­tu­ti­ons. The main focus of the program is on experimental and theoretical particle physics. Methodologically, the program is based on three pillars, each of which is associated with one of the three universities. These are machine learning and statistical data analysis, instrumentation and detector physics as well as large-scale scientific computing and programming. Train­ing in these aspects is the second focus of the program. 

The students of one year study as a cohort, who attend courses together at the Uni­ver­sity of Clermont Auvergne (1st semester), TU Dort­mund Uni­ver­sity (2nd semester) and the Uni­ver­sity of Bologna (3rd semester) during the first three semesters. In the fourth semester, the students will write a Master thesis, which can be carried out at one of the three universities or at one of the associated partner in­sti­tu­ti­ons.

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Automation and Robotics

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.

Three small white robots, one in a black jersey, one in a yellow jersey, standing next to a indoor soccer field with the green TU logo in the background. © Martina Hengesbach​/​TU Dort­mund

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 Department 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.

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Chemical Engineering – Specialization “Process Sys­tems Engineering”

A male student wearing safety glasses holds a test tube with a blue liquid in his hands. © Roland Baege​/​TU Dort­mund

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.

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Data Science

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 Departments 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.

White, light blue and dark blue points connected by golden lines on a black background © Pixabay

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.

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A laptop with mathematical formula shown on its screen on a white desk next to a coffee mug, pencils and documents. © Pixabay

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 departments of the three universities and the Department of Sta­tis­tics at TU Dort­mund Uni­ver­sity. It com­bines the ex­per­tise and breadth of the participating departments in eco­nom­ics and empirical economic re­search with the methods-oriented train­ing of the statisticians and econometricians at Germany’s only statistics de­part­ment.

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 departments.

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Manufacturing Technology (MMT)

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. 

Dargestellt wird eine Maschine der spanenden Fertigung. © Nikolas Golsch​/​TU Dort­mund

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.

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Spatial Planning

Model of a city © Uwe Grützner​​/​​Fa­kul­tät Raum­pla­nung

The Master of Science in Spatial Planning is a two-semester-program which welcomes especially students from the fields of urban and regional planning, spatial planning, and urban de­sign. Students from similar disciplines such as geographers, (landscape) architects or civil engineers are also welcome to apply to the M.Sc. Spatial Planning if their respective Bachelor studies or working experience correspond with the content of the bachelor program in the Department of the Spatial Planning.

Depending on the particular curriculum the students are able to choose semi­nars out of different specializations. The specializations taught in English are called „Urban Trans­for­ma­tion“ and „Planning in the Global South“. 

With the consecutive master program Spatial Planning, students acquire an additional professional qualification. At the same time, the master program serves as preparation for acquiring a doctorate. The master program Spatial Planning qualifies students in particular to apply basic knowledge in spatial planning in new contexts on an inter­dis­ci­plin­ary basis and to extend their knowledge and skills individually in chosen fields of spatial planning re­search activities.

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SPRING - Regional Development Planning and Management

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.

Aerial view of Mumbai © Pixabay

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.

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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 15- 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.

Die Ein­rich­tun­gen der TU Dort­mund verteilen sich auf den größeren Cam­pus Nord und den kleineren Cam­pus Süd. Zu­dem befinden sich einige Bereiche der Hoch­schu­le im angrenzenden Technologiepark. Genauere In­for­ma­ti­onen kön­nen Sie den Lageplänen entnehmen.