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 LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.
The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.
The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.
The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.
+ duration 2 years (120 ECTS credits)
+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies
+ study one year each at two different partner universities in Europe
+ double degree
+ possibility to visit one of two non-European partners for a part of the study
+ language of instruction and academic and administrative support is English
1. Saarland University in Saarbruecken, Germany (coordinator)
2. University of Trento, Trento, Italy
3. University of Malta, Malta
4. University of Lorraine, Nancy, France
5. Charles University, Prague, Czech Republic
6. Rijksuniversiteit Groningen, The Netherlands
7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain
8. Shanghai Jiao Tong University, China
9. The University of Melbourne, Australia
The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Sophisticated high-throughput techniques pose new challenges for data integration and data interpretation. The Computational Life Science (CompLife) MSc program at Jacobs University meets these challenges by covering computational, theoretical and mathematical approaches in biology and the life sciences. It is geared towards students of bioinformatics, computer science, physics, mathematics and related areas.
The CompLife program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. CompLife students at Jacobs University take a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. Core components of the program and areas of specialization include:
- Computational Systems Biology
- Computational Physics and Biophysics
- RNA Biology
- Imaging and Modeling in Medicine
- Ecological Modeling
- Theoretical Biology
- Applied Mathematics
- Numerical Methods
For more details on the CompLife curriculum, please visit the program website at http://www.jacobs-university.de/complife.
Graduates of the CompLife program are prepared for a career in biotechnology and biomedicine. Likewise, graduates of the program are qualified to move on to a PhD.
The CompLife program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.
All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.
Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do. In addition, Jacobs University offers accommodation for graduate students on or off campus.