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Masters Degrees in Software Engineering, Germany

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This is digital engineering in Weimar. The use of digitally networked systems is increasing in every industry. Read more

This is digital engineering in Weimar

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.

 

Be a part of generation 4.0! 

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. 

Course of Study

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.



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The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. Read more
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:

• Bioinformatics
• Educational Sciences
• Geosciences
• Cognitive Sciences
• Mathematics
• Medicine
• Meteorology
• Microsystems Engineering
• Physics
• Political Sciences
• Psychology
• Sociology
• Economics

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.

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The M.Sc. programme Computer Science for Digital Media at the Bauhaus-Universität Weimar is an internationally oriented 2-years degree programme. Read more
The M.Sc. programme Computer Science for Digital Media at the Bauhaus-Universität Weimar is an internationally oriented 2-years degree programme. It aims at creative and innovative thinking graduates of Computer Science or related subjects with the desire of deepening their knowledge in applied Computer Science, with a focus on applications relevant to the media.

Programme Features

In accordance with the »Weimar Model«, research-oriented projects are a large and defining part of the Master’s programme. Additional elective modules allow students to select courses from other degree programmes such as Computational Engineering, Arts and Design, Architecture, as well as courses from the Computer Science for Digital Media course catalogue. Graded language courses up to 6 ECTS may also be included. The fourth and final semester is dedicated entirely to the Master’s thesis.

The degree programme offers students to focus on different fields. Core components of the programme and areas of specialisation include:
• Web Technologies
• Information Retrieval and Data Mining
• Big Data Analytics
• Intelligent Software Systems
• Computer Graphics and Visualization
• Computer Vision
• Virtual Reality, 3D Interfaces
• Human Computer Interfaces
• Usability
• Secure Protocols and Cryptographic Algorithms

Key skills and competences are acquired through a project-based teaching approach: on a semester basis, students work in teams to solve assigned research tasks in the labs of the faculty. This approach provides our graduates with soft- and hard- skills which are very welcome in research and development institutions. Within the recently built »Digital Bauhaus Lab«, the faculty of media has excellent research facilities equipped with the latest advanced hardware.

Visit the Computer Science for Digital Media on the Bauhaus-Universität Weimar website for more details on the programme.

Career Options

Our graduates find employment in the R&D departments of companies in the automotive, telecommunication, software, gaming and animation industry, as well as at academic institutions in Germany and overseas. A specialisation in Computer Science with focus on media opens the door for employment and research in innovative areas such as system development, algorithm development, data analysis, data mining, scientific visualisation, image processing, physical simulation, interface development and testing and security protocols development.

Application Process

Applicants who graduated outside of Europe should apply online on http://www.uni-assist.de/index_en.html. Applicants who graduated in Europe and do not require a visa can apply online at: https://movein-uni-weimar.moveonnet.eu/movein/portal/studyportal.php?_language=en

Please find further information for your application on http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-csm/

We also maintain a FAQ page: http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-csm/

Studying in Weimar

The »Bauhaus « was the most influential design school in the 20th century and was founded in 1919 in Weimar. The Bauhaus-Universität Weimar is the living continuation of this tradition. We are an international university in the unique, cultural city of Weimar. We are a vibrant institution, not a museum! Experimentation and excellence are our mission throughout our university faculties Media, Architecture and Urbanism, Civil Engineering and Art and Design. Across our Faculties, transdisciplinary projects and co-operations in research and education are an important part of this mission.

Find out more about student life in Weimar on http://www.uni-weimar.de/en/university/studies/einblickbauhaus/university-town-of-weimar/

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Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. Read more

About Computer Science

Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. in Computer Science are specialists in at least one field of computer science who have wide-ranging science-based methodological expertise.
Graduates are able to define, autonomously and comprehensively, computer science problems and their applications, structure them and build abstract models. Moreover, they are able to define and implement solutions that are at the state of the art of technology and science.

Features

– A broad, international and relevant selection of courses
– As a student, you will work on cutting-edge research projects
– Individual guidance in small learning groups
– Excellent enterprise relations maintained by the chairs and institutes
– Numerous partnerships with universities throughout the world, including a double degree programme with the Institut national des sciences appliquées de Lyon (INSA)

Syllabus

The programme offers the following five focus modules:
1) Algorithms and Mathematical Modelling
2) Programming and Software Systems
3) Information and Communication Systems
4) Intelligent Technical Systems
5) IT Security and Reliability
1) Algorithms and Mathematical Modelling: This module teaches you about determinstic and stochastic algorithms, their implementation, evaluation and optimisation. You will acquire advanced knowledge of computer-based mathematical methods – particularly in the areas of algorithmic algebra and computational stochastics – as well as developing an in-depth expertise in mathematical modelling and complexity analysis of discrete and continuous problems.
2) Programming and Software Systems: This module imparts modern methods for constructing large-scale software systems, as well as creating and using software authoring, analysis and optimisation tools. In this module you will consolidate your knowledge of the various programming paradigms and languages, the structure of language processing systems, and learn to deal with parallelism in program procedures.
3) Information and Communication Systems: In this module you will study the interactions of the classic computer science areas of information systems and computer networks. This focus area represents an answer to the problem of increasing volume and complexity of worldwide information distribution and networks, and for the growing requirements on quality and performance of computer communication. Additionally, you will learn to transfer database results to multimedia data.
4) Intelligent Technical Systems: In this module you are acquainted with digital image and signal processing, embedded systems and applications of intelligent technical systems in industrial and assistance systems, which are necessary for production automation and process control, traffic control, medical and building technology. You will learn to develop complex applications using computer systems and deal with topics such as image reconstruction, camera calibration, sensor data fusion and optical measurement technology.
5) IT Security and Reliability: This module group is concerned with security and reliability of IT systems, e.g. in hardware circuitry and communication protocols, as well as complex, networked application systems. To ensure the secure operation of these systems you will learn design methodology, secure architectures and technical implementation of the underlying components.

Language requirements

Unless English is your native language or the language of your secondary or undergraduate education, you should provide an English language certificate at level B2 CEFR, e.g. TOEFL with a minimum score of 567 PBT, 87 iBT or ITP 543 (silver); IELTS starting from 5.5; or an equivalent language certificate.

To facilitate daily life in Germany, it would be beneficial for you to have German language skills at level A1 CEFR (beginner’s level). If you do not have any German skills when starting out on the programme, you will complete a compulsory beginner’s German course during your first year of study.

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Some time ago the Wall Street Journal wrote. "Why Software is Eating the World". This refers to the fact, that software systems are revolutionizing all business processes and models, enable completely new applications and shape how we live. Read more
Some time ago the Wall Street Journal wrote: "Why Software is Eating the World".
This refers to the fact, that software systems are revolutionizing all business processes and models, enable completely new applications and shape how we live. A revolution is underway! – A revolution triggered and shaped through computer science and the applications for which it provides the basis. Do you want to be part of this revolution, shaping computer science and through it the world? Then the Master’s Program Applied Computer Sciences is what you are looking for!

The study program Applied Computer Science (ACS) will help you to gain a deeper understanding of computer science and will enable you actively contribute to the progress of computer science in a wide range of fields. Building on the fundamentals obtained during a Bachelor’s program in ACS or a related program, students learn to develop large, complex and novel software. You will be able to specialize in different fields like software development, information systems, machine learning, etc. You will be able to choose your specialization from elective courses for a significant part of their studies. In addition you will obtain knowledge in the fields of business administration and information management.

Core Modules

* Machine Learning
* Software-Architectures
* Distributed Learning Systems
* Media Informatics
* Marketing / Logistics
* Business Modeling
* Computational linguistics
* Knowledge Management and E-Learning

Application and Admission

The program starts at University of Hildesheim twice a year: in April and in October. For details on how to apply please visit our website https://www.uni-hildesheim.de/en/studium/bewerbung/bewerbung/.
Please note that this is a german language based program. Thus, you need proof of German language capabilities as a prerequisite for enrollment.

International Applicants

If you live outside of Germany and need additional information about college and study fees, entry requirements beyond the ones stated below, accommodation or the application procedure: Please visit our International Office at https://www.uni-hildesheim.de/en/io/.

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