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, text analytics, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing (NLP)) 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, digital humanities, 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.
Students can expect to learn more about:
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
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
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.
This course provides the necessary academic, practical and professional education to help you learn and acquire high-tech competencies and advanced technological skills in the interlinked areas of signal processing, dynamic systems and automatic control. These three areas are the crucial building blocks of modern engineering methodologies applied for the design, development, implementation, and analysis of complex systems ranging from engineering applications and industrial problems, to more mundane situations such as financial modelling and environmental control.
Through this course, you will learn how to look out for, and capture, the similarities and structures of different systems and processes, how to extract useful information from typically large amounts of data generated by such systems, and how to optimise and control their behaviour. You will learn the relevant basic theories, design methodologies and implementation techniques within the areas of system modelling, signal processing, dynamics and systems, automatic control, computer vision, machine learning and computational intelligence. By the end of this course you would thus be able to apply these hi-tech skills in a wide range of professional areas such as system automation, process control, biomedical engineering, manufacturing, transport and robotics to name but a few.
The course is open to graduates in engineering, information technology, physics, mathematics and related areas. The language of instruction is English.
The programmes of study in full-time or part-time mode are summarised below. More detailed information on course learning outcomes, study-unit descriptions etc. are available from these links: full-time or part-time.
How to Apply
Further information regarding the application process and deadlines is available here.
Students applying for this course are eligible to benefit from the Get Qualified 2014-2020 scheme. Further information on the application process is available here.
Prospective international applicants wishing to obtain further information prior to submitting an application, are advised to contact the International and EU Office.
Additional details on tuition fees, administrative issues, general entry requirements and related matters are available here.
Queries can also be directed by [email protected].