The use of digitally networked systems is increasing in every industry. The developments currently unfolding under the buzzword "Industry 4.0" are essentially based on the comprehensive digital representation of every step in the industrial production value chain. From the planning phase through to the design/draft and production process to monitoring products over their service-life, virtual product and process models are networked with each other to expedite development processes, raise product quality, and optimise production. That is why these developments require well-trained specialists at the interface of computer science and engineering. This course of study, which was jointly developed by participants from the professorships of Engineering and Computer Science and Media at the Bauhaus-Universität Weimar, is designed to provide you flexible and interdisciplinary training to meet the challenges you’ll face in the professional world of tomorrow. The Digital Engineering Master's programme places a high premium on introducing you to current research issues that are jointly defined and supervised by industry partners at an early state. The Digital Bauhaus Lab is a state-of-the-art university research facility offering optimal conditions for success.
The consecutive Digital Engineering Master's programme combines academically specialised expertise from the Civil Engineering and Computer Science and Media disciplines. The coursework is centred on a practical transfer of methodical interrelations between engineering and computer science for complete digitalisation of design, manufacturing, and application processes. In this international Master's programme you will use a range of modelling concepts as a basis for experimentation with complex processes in computer-aided modelling, simulation and visualisation of engineering problems. In addition, you will deepen your knowledge of information-theory methods of data generation and data handling. The aim is the representation, interpretation, evaluation, and optimisation of interdisciplinary processes in construction, mechanical engineering and other industrial fields.
This prepares graduates of the English-language Digital Engineering Master's programme in a targeted way for work in the field of virtual product and process modelling and optimisation. They are active in a diverse range of fields such as 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 programme in Digital Engineering comprises 120 ECTS and is completed after four semesters of study. In the first two semesters, all students receive foundational courses in order to prepare them to participate in more advanced courses. You will be offered both compulsory and elective courses covering the two core areas of computer science and engineering. Depending on your previous knowledge, we will develop your individual module plan with an emphasis on either engineering or computer science.
From the third semester onward, you will deepen your technical knowledge in the three areas of modelling, simulation and validation, and visualization and data science. In each of these areas, you will have the opportunity to choose elective courses that allow you to create your own specialisation. The curriculum is complemented by a research project with partners from the professional community, as well as elective modules in the Media and Civil Engineering faculties or the Language Centre of the Bauhaus-Universität Weimar. During the fourth semester, you will write and defend your Master's thesis. In the process, you will receive support from professors and external industry partners, who will support you in the context of consultations.
The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. The curriculum is very flexible. Students can compile their individual study plans based on their background and interests. It is also a very practical program. In addition to lectures and tutorials, students will complete two seminars, one or two projects and the master thesis.
In the beginning students will choose one or two key courses. Key courses are courses which introduce the students to the research areas represented at the Department of Computer Science. The following key courses are offered:
• Algorithm Theory
• Pattern Recognition
• Databases and Information Systems
• Software Engineering
• Artificial Intelligence
• Computer Architecture
After that, students can specialize in one of the following three areas:
• Cyber-Physical Systems
• Information Systems
• Cognitive Technical Systems
Here are some examples of subjects offered in the three specialization areas:
Cyber-Physical Systems:
• Cyber-Physical Systems – Discrete Models
• Cyber-Physical Systems – Hybrid Control
• Real Time Operation Systems and Reliability
• Verification of Embedded Systems
• Test and Reliability
• Decision Procedures
• Software Design, Modeling and Analysis in UML
• Formal Methods for Java
• Concurrency: Theory and Practice
• Compiler Construction
• Distributed Systems
• Constraint Satisfaction Problems
• Modal Logic
• Peer-to-Peer Networks
• Program Analysis
• Model Driven Engineering
Information Systems:
• Information Retrieval Data Models and Query Languages
• Peer-to-Peer Networks
• Distributed Storage
• Software Design, Modeling and Analysis in UML
• Security in Large-Scale Distributed Enterprises
• Machine Learning
• Efficient Route Planning
• Bioinformatics I
• Bioinformatics II
• Game Theory
• Knowledge Representation
• Distributed Systems
Cognitive Technical Systems:
• Computer Vision I
• Computer Vision II
• Statistical Pattern Recognition
• Mobile Robotics II
• Simulation in Computer Graphics
• Advanced Computer Graphics
• AI Planning
• Game Theory
• Knowledge Representation
• Constraint Satisfaction Problems
• Modal Logic
• Reinforcement Learning
• Machine Learning
• Mobile Robotics I
We believe that it is important for computer science students to get a basic knowledge in a field in which they might work after graduation. Therefore, our students have the opportunity to complete several courses and/or a project in one of the following application areas:
In the last semester, students work on their master’s thesis. They are expected to tackle an actual research question in close cooperation with a professor and his/her staff.
For anyone interested in a career related to self-driving cars, robotics or artificial intelligence, EIT Digital Masters School offers a two year master programme in Autonomous Systems (AUS).
AUS is a combination of computer science and electronic engineering. During the programme, students will gain new skills in both areas. In computer science, relevant skills include Internet of Things (IoT), machine learning, artificial intelligence and robot vision. In electronic engineering, relevant fields are automation, control, embedded systems and communications.
Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of autonomous systems include autonomous vehicles, intelligent robots, industrial IoT and autonomous software systems.
At the moment, the job market looks very promising. Automotive manufacturing is a major industry in Europe and the university partners are well linked with these companies. In addition, autonomous systems are relevant in service applications and in manufacturing, logistics, shipping, mining, and recycling industries. In addition, autonomous software systems are becoming widespread in application areas, such as media, finance, customer service, and healthcare.
The university partners have an outstanding portfolio of companies in which students are sent for a 6 months internship that concludes their master thesis.
The programme is a double degree programme, which means that you’ll study at two European universities (and countries). The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes. An integral part of the second year is a Masters thesis (30 ECTS).
The double-degree programme is implemented jointly by leading European universities. The students can select their favorite first (entry) and second (exit) year universities. Each university has a unique specialisation area, which allows students to select their own second year expert area.
All EIT Digital Master School programmes follow the same scheme:
To learn more about the structure of the programme, please click here.
To learn more about the I&E minor please click here.
Entry - 1st year (common courses)
Exit - 2nd year (specialisation)
EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.
Scholarship:
· European citizen: No tuition fees. Up to 750 Euros monthly allowance
· Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance
Application deadline to begin studying in September 2018:
· 15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)
*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.
How should you apply?
To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.
Need more information?
Master School Office: [email protected], we will be happy to help.
