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The use of digitally networked systems is advancing in all areas of industry. The developments currently under the heading Industry 4.0 are essentially based on the continuous digital mapping of all steps in the value chain of industrial production. From the planning phase through design / drafting and the production process to the lifetime monitoring of the products (e.g. also buildings), virtual product and process models are networked with one another in order to accelerate development processes, increase the quality of the products and optimize production processes. These developments therefore require well-trained specialists who work at the interface between IT and engineering. The course, created jointly by civil engineering and media informatics at the Bauhaus-Universität Weimar, gives you flexible and interdisciplinary training for the challenges of tomorrow's professional world. In the Master’s degree in Digital Engineering, we attach great importance to the fact that you are introduced to current research questions early on, which are defined and supervised together with industrial partners, among other things. The which, among other things, are defined and supervised together with industrial partners. The which, among other things, are defined and supervised together with industrial partners. TheDigital Bauhaus Lab , as a state-of-the-art research facility at the university, offers the best prerequisites for this.

The consecutive Master’s degree in Digital Engineering combines specialist know-how from the disciplines of civil engineering and media informatics. The focus of the teaching is the practical conveyance of methodical connections from engineering and computer science for a continuous digitization of design, manufacturing and usage processes. On the basis of various model concepts, you will try out complex methods of computer-aided modeling, simulation and visualization of engineering problems in the international master’s course. In addition, you will deepen the necessary knowledge of information-theoretical methods for data generation and data handling. The aim is the representation, interpretation, evaluation and optimization of interdisciplinary processes in construction, mechanical engineering and other industrial areas. Due to the long Bauhaus tradition in Weimar, projects are Use cases and methodologies for digital civil engineering come to the fore. Nevertheless, the underlying principles and concepts can generally be used for Industry 4.0.

As a graduate of the English-language Master’s degree in Digital Engineering, you will be specifically prepared for work in the field of virtual product and process modeling and optimization. Your diverse fields of activity include technical administration, model management, engineering analysis and consulting, technical data analysis, as well as software and product development for digital networking in industry.



The Master’s degree in Digital Engineering comprises 120 ECTS and is completed after four semesters of standard study time. In the first two semesters, all students are brought to a uniform level of knowledge as part of the Fundamentals. You are offered compulsory and elective courses that cover the two core areas of computer science and (civil) engineering. Depending on your previous knowledge, we will put together an individual module plan that is either more engineering or IT-based.

From the second semester onwards, you will deepen your specialist knowledge in the three areas of Modeling, Simulation and Validation and Visualization and Data Science. Within each area, you have the option to choose from a compulsory elective course and thus set individual priorities. The range of courses is supplemented by a research project with practical partners as well as elective modules from the media and civil engineering faculties or the language center of the Bauhaus University Weimar. In the fourth semester you will write and defend your master’s thesis. You will be supported by the professors and external partners from industry and advised within the framework of consultations.



Requirements for admission to study Digital Engineering is a - minimum grade of 2.3 - completed Bachelor of Science / Engineering  in Civil Engineering, Mechanical Engineering or applied computer science (eg media computer science, geoinformatics, environmental computer science) or by the relevant Examination Committee as a professionally relevant recognized first professional university degree. The examination board decides on the comparability of qualifications and exceptions, which may determine additional services to be provided by the applicant.

(2) If the first university degree is not based on an academic thesis, the applicant must submit another academic paper written by him .

(3) In addition, you need  proof of your English language skills  at competence level B2 of the Common European Framework of Reference (GER)

a) Proof of mother tongue (acquisition of a university entrance qualification or a first professional qualification in an English-speaking country) or

b) Evidence based on one of the following internationally recognized certificates

- TOEFL (Internet-based Score 85 or better)
- Cambridge Certificate First Certificate in English (FCE)
- IELTS, Volume 6.5 (at least 6.0 in each sub-area)

or on the basis of equivalent evidence.

(4) Furthermore, an English-language letter of motivation to the extent of one page must be submitted. This letter of motivation includes, on the one hand, an overview of the previous academic and professional / practice-related training course, such as completed construction or building IT-related projects and / or internships, experience abroad during your first degree, student engagement and / or scientific activities. Evidence of all activities must be provided. On the other hand, based on this, the personal future (research) perspectives with reference to the main areas of study should be presented.

(5) If the selection committee does not come to a clear decision based on the available documents, an interview can be carried out to clarify suitability

(6) The selection of applicants is made by a selection committee made up of two authorized examiners, one each from the fields of media informatics and civil engineering from the "Digital Engineering" course. The selection committee determines which applicants meet the necessary requirements according to paragraphs 1-5 and determines the modules to be completed individually (additional modules) for the adaptation qualification from the subject area "Fundamentals".

These regulations are subject to the proviso that the study and examination regulations are approved by the President of the Bauhaus-Universität Weimar and published as statutes. 

In addition, you should bring :

• enjoy working in interdisciplinary teams
• curiosity and creativity
• willingness to work independently and responsibly
• desire to solve complex problems of the digital information society
• very good knowledge of engineering or computer science
• interest in model development for physical processes , Image data acquisition and analysis as well as visualization methods
• Knowledge of numerical simulation processes
• Understanding of the storage, analysis and manipulation of large amounts of data
• Proof of English language skills




 Recognizing and understanding engineering problems at the interface to IT
spatial, temporal and financial • modeling, as well as the digital representation and application of models 
• Simulation of processes and structures
• Visualization and analysis of large amounts of data
• development, construction and operation of complex, technical products and Systems
• Flexibility in thought patterns and model associations
• In-depth knowledge of various model concepts
• Presentation and interpretation of complex results for different stakeholders

With a degree in digital engineering, for example, you can work as a / in industry and science

  • Model manager
  • Engineering analyst
  • System integrator
  • Technical manager
  • Consultant for digitization concepts
  • Software developer
  • Engineer product development
  • Research and Development

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