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Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exits to take from A 45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dortmund-Dorstfeld” or “Dortmund-Barop” (both closer to North Campus). Signs to the university are located at all the exits.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

By train

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

H-Bahn

The H-Bahn (Suspended Monorail System) is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

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Location & approach

By car

By train

By plane

H-Bahn

Plan of site & interactive map

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Statistical calculation

UEFA EURO forecast: France will be European Champion

06/08/2021 -

Research
Top News
Press Releases

A leather ball lies on grass — France has a good chance of becoming European soccer champion - this is the conclusion of an international research team with participation from TU Dortmund University.

After winning the FIFA World Cup, France could also win the European Football Championship – this is the conclusion of researchers from the Universities of Innsbruck (Austria) and Ghent (Belgium), TU Dortmund University and the Technical University of Munich (Germany) and Molde University College (Norway). England and Spain also have a good chance of winning the title, according to the forecast.

On Friday, 11 June, Europe's men's football teams will start the European Championship a year later than planned. The favorite this time is France with a probability of winning of 14.8 percent. This is what an international team of researchers consisting of Andreas Groll and Franziska Popp (both TU Dortmund, Germany), Gunther Schauberger (TU Munich, Germany), Christophe Ley and Hans Van Eetvelde (both Ghent University, Belgium), Achim Zeileis (University of Innsbruck, Austria) and Lars Hvattum (Molde University College, Norway) has shown with the help of machine learning. Their forecast combines several statistical models for the teams' strengths with information about the team structure (such as market value, number of Champions League players, club match performance of individual players) as well as socio-economic factors of the country of origin (population and gross domestic product).

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