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
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.
Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!
The Data Science Program will prepare you to design and build data-driven systems for decision-making in the private or public sector.
The digital revolution brings with it an explosion of data that carries significant potential value for businesses, science, and society.
As data becomes easily available as never before, so too does its volume grow, and extracting useful quantitative insights becomes more and more challenging.
The curriculum will guide students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand.
Data Science students will be armed with a solid knowledge of statistical and machine learning methods, optimization and computing, and the ability to spot, assess, and seize the opportunity of data-driven value creation.
Students will learn how to apply classroom examples using real data and answering concrete business questions from the perspectives of different industries. Through an independent master's project and the opportunity for industrial practicum work conducted with local businesses, students can have the opportunity to solve actual analytics problems hands-on.
Our courses are taught by leading academics and researchers in the fields of Economics, Operations, and Statistics, as well as experienced professionals from the analytics industry.The program also invites guest speakers and entrepreneurs working at the frontiers of the Data Science.
Upon successful completion of the program, students will receive a Master Degree in Data Science awarded jointly by Universitat Autònoma de Barcelona (UAB) and Universitat Pompeu Fabra (UPF). The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course), some compulsory and some elective. The students' final program must be discussed with and approved by the Master Director.
Examples of recent professional placements:
Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.
Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!
The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.
Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).
At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.
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 Innovation & Entrepreneurship 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.
· 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.