Data Science in Engineering and Management (B. Eng.)

Application period for the winter semester is May 2nd to July 15th.

This course is held in German, so you'll need to prove a high level on German language (B2) for your application from abroad. We do not offer in-advance language courses for prospective applicants.. 

Please consider that the online application is only possible in this space of time. Applications that reach the university later than that cannot be taken into consideration.

Please find further information on application for bachelor study courses.  

To prepare for your semester abroad or to learn another foreign language alongside your studies, you can take language courses at THI's own Language Center (Sprachenzentrum). The language courses are taught only by native speakers and offered at different levels. All courses are free of charge for our students. For more information please see https://www.thi.de/studium/sprachenzentrum.

THI does not run any student housing – neither on-campus nor off-campus – and therefore cannot provide you with accommodation. Here you can find more information on finding accommodation: Accomodation in Ingolstadt. Please keep in mind that you'll need 700-900 € per month for accomodation and your personal expenses.

Our International Office is established especially for the international academic programs. The International Office provides an all-round service to help you with all necessary prearrangements for the organization of your study and everyday life in Ingolstadt.

A dual training programme enables a combination of practical elements in a company and theoretical training at the university. Either the combined model (study and vocational training) or the study programme with in-depth practical experience (study and intensive practical phases) can be chosen. The advantage for students is obvious: with a practical academic education, the transition from study to work is usually smooth. In addition, the student is usually remunerated financially by the respective company and, in the best case scenario, is taken on after graduation.

Please refer to our pages on Dual Study or just look for a Dual Company Partner.

Nowadays, there are large amounts of data for every question, but only a few are able to recognise structures in the data and generate useful information. Even fewer people have additionally mastered the basic knowledge of technology and business so that they know what information is important in a company. This is exactly where the Data Scientist in technology and business comes in. Not only do they have the technical expertise, but they are also able to communicate the relevant facts clearly and understandably.

At our university, all subjects are taught in an applied and less theoretical way. As a prerequisite for the degree programme, you should have an interest in working with data and be interested in the application fields of Data Science.

Openness to new technologies - inclination to think analytically - ability to think your way into new problems - flexibility in thinking - curiosity - interest in real-world applications - motivation and initiative, if these are your strengths, you've come to the right place!

The consultancy McKinsey recently estimated the global demand for new data scientists at 1.5 million. There are probably few fields of study that are currently and will be in such demand for the foreseeable future as data science. Similar to a classic industrial engineer, you will not only bring expertise in the field of data science with you after this degree, but you will also understand the basics of technology and economics.

Pure data science degree programmes are usually located in the computer science faculties of universities. There, development skills in the field of data analysis are taught first and foremost. Students thus learn to develop algorithms and to programme in specific programming languages. In our Data Science in Engineering and Management degree programme, the focus is not on development skills, but on application skills.

Of course, you will also learn the basics of programming, but the focus is on the application and use of data-driven systems. In addition, your knowledge of technology and business means you know what Data Science is needed for in companies!