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Overview

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.

 

PROGRAMME STRUCTURE

In the basic courses you will learn to recognize and understand engineering problems and how to formulate and implement them using mathematical methods. You will acquire skills to implement the mathematical descriptions and to develop your own software using modern algorithms and data structures. 

This includes the following modules:

  • Algorithms and Datastructures
  • Applied Mathematics and Stochastics
  • Nonlinear Continuum Mechanics
  • Advanced Numerical Mathematics
  • Software engineering
  • Statistics
  • Structural Dynamics
  • Structural engineering models
  • Object-oriented Modeling and Programming in Engineering

 

ENTRY REQUIREMENTS

(1) 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".

 

CAREER PROSPECTS

 

The digitization of our living and working world is progressing faster and faster. With the help of complex simulation environments and the use of virtual models, industrial development cycles are shortened and manufacturing processes are optimized at the same time. The Industry 4.0 revolution creates a growing need for academic specialists in interdisciplinary and transdisciplinary areas.

With your master’s degree at the Bauhaus University Weimar, we will prepare you for the challenges of the future: Graduates of the Digital Engineering course have a high degree of competence in recognizing engineering and methodological relationships, in the possibilities of engineering computer-based modeling Relationships based on various model concepts and in the presentation and interpretation of complex results for different stakeholders. You will thus occupy a key position in the digitization of our society.

As highly qualified managers, you will help shape the developments in our networked society 4.0 and drive them forward. Their diverse application possibilities include computer-aided processes at the interfaces to civil engineering, aerospace technology, the automotive industry, plant and mechanical engineering as well as the consumer goods sector.

You will learn these skills during your studies

• 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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