Общая Информация по Программе обучения "Digital Engineering"

• Уровень: Магистратура
• Диплом: Master of Science (M.Sc.)
• Язык обучения: Английский
• Начало обучения: Зимний семестр
  Летний семестр
• Срок обучения: 4 семестров
• Форма обучения: Полная
• Учебные кредиты: 120 ECTS
• Стоимость: € 0 / Семестр
• Семестровый взнос: € 195.27 / семестр
• Правила приема: На основе конкурса
• Минимальный уровень английского: B2
• Минимальный средний балл (нем): 2.3

Описание программы обучения "Digital Engineering"

Study location Weimar

Despite its small size and its picture-book character - Weimar is not a sleepy provincial town. Whether for art and culture lovers, night owls or gourmets - in addition to Goethe, Schiller and the Bauhaus, Weimar has a lot more to offer. And all this in a city center where nothing is more than a 10-minute walk from one another. And the two largest Thuringian cities, Erfurt and Jena, are each only 15 minutes by train.

The many small and large initiatives - temporary showrooms, project workshops, university gallery marke.6, the soap box race SpaceKidHeadCup initiated by students - expand the cultural spectrum of the large institutions Klassik Stiftung Weimar, German National Theater, Buchenwald Memorial, Goethe House, Bauhaus Museum and ACC Gallery. Four cinemas, several cabaret stages, more than 20 other museums and various student clubs and concert events still impressively underline Weimar's importance as the European Capital of Culture in 1999.

And there are also many opportunities for student initiatives: For example, you can support the interests of your fellow students in the student council. Or you can become part of the Maschinenraum - the initiative for programming, soldering, discussing and repairing computers.

Карьерные перспективы по завершению программы обучения "Digital Engineering"

As a graduate of the English-language Digital Engineering master's program, you will be specifically prepared for a job 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.

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

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

Ожидаемые результаты программы обучения "Digital Engineering"

The digitization of our living and working environment 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 is creating a growing need for academic specialists in interdisciplinary and transdisciplinary areas.

With your Master's degree at the Bauhaus-Universität Weimar, we 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 of these 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 a highly qualified manager, you will help shape the developments of our networked society 4.0 and drive them forward. Their diverse application possibilities include computer-aided processes at the interfaces to civil engineering, aerospace engineering, the automotive industry, plant and mechanical engineering and the consumer goods sector.

You will learn these skills during your studies

• Recognition and understanding of engineering problems at the interface to IT
• Spatial, temporal and financial modelling, 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 different model concepts
• Presentation and interpretation of complex results for different stakeholders