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.
Program Brief
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.
Mobility
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.
Study program
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.
History
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.
Key facts:
+ 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
European partners:
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
Non-European partners:
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
Careers
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 programme is organised by the Centre of Language Studies. Within this research institute, language and communication specialists from Radboud University and the University of Tilburg work closely together. You will also be able to follow a number of lectures in Tilburg. Our programme is known to be challenging, but it also offers students a very large degree of choice.
Whenever we use language we are involved in communicating. How does this work and why is there miscommunication? How does language fit together and how do we learn to understand each other's language? This is the central theme of this unique programme. It is unique because language and communication are treated as a single unit with each field complementing the other. The programme is also special because it focuses strongly on empirical research. You will be studying real language in real-life situations and you will use your observation skills to develop possible theories. Later, you will test these theories against everyday reality. In this way you will discover the richness of both language and communication.
As a Master’s student in Language and Communication you will find yourself in a challenging research environment. The university has experts in topics such as language variation and language diversity, language technology, sign language, intercultural communication, persuasive communication, optimal communication and the ways in which language can be processed. These specialists work closely with colleagues in the Max Planck Institute for Psycholinguistics (MPI) and the Donders Institute for Brain, Cognition and Behaviour (FI BCB). As a result, Nijmegen can provide you with an exceptional opportunity to explore new avenues of knowledge and the chance to work alongside specialists who are leaders in their field internationally.
See the website http://www.ru.nl/masters/language
3. Strong motivation
You have to be able to demonstrate your motivation for and affinity with international academic research. A selection committee will evaluate the motivation of each applicant separately.
The primary goal of the programme is academic training, which makes it ideal for those wishing to embark on a research career, for example by taking a PhD. But it also caters for the growing demand from the public and private sectors for people with academic insight and research skills. Many graduates will join research groups in the public and private sector. These may address a wide range of topics such as advanced Internet and enhancing professional communication in an international context.
Whenever we use language we are involved in communication with others - to persuade, to inform and to exchange ideas. How does this work and why is there miscommunication? How does language fit together in spoken language and non-verbal cues such as eye-contact or facial expression and how do we learn to understand each other's language? This is the central theme of this unique programme.
It is unique because language and communication are treated as a single unit with each field complementing the other. The programme is also special because it focuses strongly on empirical research. We invite you to discover exciting new areas of research, where language and communication are illuminated by developments in information and communication technology. You will be studying real language in real-life situations and you will use your observations to develop possible theories. Later, you will test these theories against everyday reality. In this way you will discover the richness of both language and communication.
As a Master’s student in Language and Communication you will find yourself in a challenging research environment. The university has experts in language variation and language diversity, language technology, sign language, intercultural communication, persuasive communication, optimal communication and the ways in which language can be processed. These specialists work closely with colleagues in the Max Planck Institute for Psycholinguistics (MPI) and the Donders Institute for Brain, Cognition and Behaviour (FI BCB). As a result, Nijmegen can provide you with an exceptional opportunity to explore new avenues of knowledge and the chance to work alongside specialists who are leaders in their field internationally.
See the website http://www.ru.nl/masters/language
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 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
European partners:
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
Non-European partners:
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 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
European partners:
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
Non-European partners:
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 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!
You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php
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!
Why do languages change? Why does your mobile device suggest funny completions for words you are typing? How did it happen that Finnish is spoken mostly in Finland, but its linguistic relatives are scattered over a larger area? How can you study a language that does not have a standard orthography? Why can you sometimes tell where other people come from just by their accent? Why do some people stick to their dialect, but others give it up when they move to the city? Should you try to support language diversity? Can we save languages that are spoken by a very small number of people? How can computer-synthesised speech be made to sound more human? Why do some languages seem so much more difficult to learn - are they inherently more complex?
This Master's programme will provide you with an understanding of the nature and diversity of human language and with the theoretical tools for working with language material. If you are interested in languages but are unable to decide which of them you want to study, this Master's programme offers several fields of specialisation. One of them might be just perfect for you.
During your studies, you will:
After completing your studies, you will be able to work independently in various fields that require multidisciplinary expertise in linguistic sciences. You will have the theoretical knowledge and skills that are required for postgraduate studies in the doctoral programme in language studies.
Further information about the studies on the Master's programme website.
Linguistic Diversity in the Digital Age is an integrated international programme that offers you a comprehensive view of all subfields of the science of language. As a student in the programme you will be able to choose among four specialist options: (1) General Linguistics, (2) Phonetics, (3) Language Technology, and (4) Diversity Linguistics.
General Linguistics gives you comprehensive in-depth training in a wide range of theoretical and methodological approaches to language structure and language in use. Special emphasis is put on language typology in a global perspective as well as the documentation and description of endangered and previously undocumented and under-documented forms of speech.
Phonetics will introduce you to the tools for working with the articulatory, acoustic and perceptional aspects of human speech from a multidisciplinary perspective. At the more advanced level, you will become acquainted with the methods of experimental phonetics.
Language Technology combines linguistics with digital technology in an interdisciplinary approach with close links to computer science. The focus areas include natural language processing (NLP) for morphologically rich languages, cross-lingual NLP and language technology in the humanities.
Diversity Linguistics encompasses all aspects of linguistic diversity in time and space, including historical linguistics as well as the extralinguistic context of languages: ethnicities, cultures and environments. The areal foci in Diversity Linguistics are Eurasia and Africa.
These four specialist options interact at all levels. There is a study module common to all students in the programme regardless of the specialist option they choose. The integration of these four perspectives into one programme is unique - no similar programme exists anywhere else.
In the context of “Humanities”, the programme has the closest relationship to natural sciences, and many subfields of the programme involve methods directly linked to laboratory sciences, including digital technology and neurosciences.
The teaching in the programme includes lectures and seminars, practical exercise sessions, reading circles, fieldwork excursions, as well as work practice (internship). The broad spectrum of teaching methods guarantees optimal support for your learning processes.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Professional Translation (Extended) at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The MA in Professional Translation is an integrated programme designed to turn entrants with proven excellence in foreign languages into successful and marketable professional linguists.
Core skills:
- Advanced Translation in 1 or 2 language pairs
- European-recognised training in Computer-Assisted Translation (CAT) tools
Specialisation options:
Interpreting, further technologies, terminology, multimedia, new/intermediate language.
Part 2 options include internship and year abroad.
Language pairs (subject to demand):
- From English into: Arabic, Chinese (Mandarin), French, German, Italian, Spanish, Welsh
- Into English from: French, German, Italian, Spanish, Welsh
Modules on the MA in Professional Translation typically include:
Foundations of Translation and Interpreting
Advanced Translation
Translation Tools
Translation Technologies
Translation Work Experience for MA Students
Terminology Management
Beginners' Language
Intermediate Language
Extended Translations
Translation/Interpreting Internship
Part One – F/t: six 20-credit (10 ECTS) modules in two semesters (p/t in four):
Compulsory: Foundations of Translation and Interpreting, CAT Tools, Advanced Translation (pair 1).
Optional: Advanced Translation (pair 2), History and Theory of Translation, Interpreting, Translation Technologies, Subtitling/dubbing/audio description, Terminology, Simulated Translation Company, Digital publishing. Study a new language (French, German, Italian, Mandarin or Spanish), or post A-Level language (French, German, or Spanish).
Part Two – Two elements totalling 120 credits (60 ECTS), taken in either order:
1: A choice of individual project of 60 credits (30 ECTS) (can be done over the summer):
- Two Extended Translations with commentary;
- Dissertation (15,000-20,000 words);
- Internship (13 weeks full time, part time pro rata).
2: 60 further credits (30 ECTS) of Part 1 modules, or a second project.
Unique Part 2 alternative: METS year abroad. Students take 50 credits (25 ECTS) at two partner translation schools, with a 20 credit (10 ECTS) report for Swansea, leading to a double award: Swansea MA plus METS Diploma.
‘After the internship that I completed through my European Master's in Translation with Language Technology [the original title of the extended MAPT] at a small translation company in Swansea, I took on a sales position with them. After three months as a sales executive, a project management role opened up in the company and I took it. As this role was in the certified translation department, I was able to build on the legal translation knowledge I had gained through my European Master's in TLT. My role involved completing some small translations in-house when time permitted and also reviewing the work of freelance translators and interns. I was also able to complete freelance translation work. After eighteen months, I moved to SDL to start an in-house translation role.
The MA programme in Professional Translation gave me a solid basis from which to develop my translation career. I still refer back to notes I made during my degree, particularly from the advanced translation and language technology module. Breaking into the translation industry can be difficult but I feel that I had an advantage over graduates from other universities in that I had completed the translation work experience module, extended translation projects and an internship as part of my European Master's in TLT. Having a focus on CAT tools was useful as I was able to practice applying the skills I had learnt in the language technology module in different translation situations. My knowledge of CAT tools was valuable to the operations management team during my project management role and it is now vital for me as a translator at SDL International. I would recommend this course to anyone looking to enter the translation industry."
Jennifer Green, Professional Translation, MA
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Translation and Interpreting (Extended) at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The MA in Translation and Interpreting is a specialised variant, emphasising interpreting skills, of our established MA in Professional Translation.
Core skills:
- Advanced Translation in 1 or 2 language pairs
- European-recognised training in Computer-Assisted Translation (CAT) tools
- Public Service Interpreting (Local Government, Health, Police and Court).
Specialisation options: Further technologies, terminology, multimedia, new/intermediate language.
Part 2 options include internship and year abroad.
- Language pairs (subject to demand): From English into: Arabic, Chinese (Mandarin), French, German, Italian, Polish, Spanish, Welsh.
- Into English from: French, German, Italian, Spanish, Welsh.
Part One of Translation and Interpreting – F/t: six 20-credit (10 ECTS) modules in two semesters (p/t in four):
Compulsory: Foundations of Translation and Interpreting, CAT Tools, Advanced Translation (pair 1), Interpreting (1).
Optional: Advanced Translation (pair 2), Interpreting (2), History and Theory of Translation, Translation Technologies, Subtitling/dubbing/audio description, Terminology, Simulated Translation Company, Digital publishing. Study a new language (French, German, Italian, Mandarin or Spanish), or post A-Level language (French, German, or Spanish).
Part Two of Translation and Interpreting – Two elements totalling 120 credits (60 ECTS), taken in either order:
1: A choice of individual project of 60 credits (30 ECTS) (can be done over the summer):
- Two Extended Translations with commentary;
- Dissertation (15,000-20,000 words);
- Internship (13 weeks full time, part time pro rata).
2: 60 further credits (30 ECTS) of Part 1 modules, or a second project.
Unique Part 2 alternative: METS year abroad. Students take 50 credits (25 ECTS) at two partner translation schools, with a 20 credit (10 ECTS) report for Swansea, leading to a double award: Swansea MA plus METS Diploma.
Modules on the MA in Translation and Interpreting include:
Foundations of Translation and Interpreting
Advanced Translation
Translation Tools
Public Service Interpreting (Local Government Option)
Public Service Interpreting (Health Option)
Public Service Interpreting (Law Option: Police and Introduction to Court Interpreting)
Interpreting- Business Option (Spanish and Madarin only)
Translation Technologies
Translation Work Experience for MA Students
Terminology Management
Beginners' Language
Intermediate Language
Extended Translations
Translation/Interpreting Internship
"After the internship that I completed through my European Master's in Translation with Language Technology [the original title of the extended MAPT] at a small translation company in Swansea, I took on a sales position with them. After three months as a sales executive, a project management role opened up in the company and I took it. As this role was in the certified translation department, I was able to build on the legal translation knowledge I had gained through my European Master's in TLT. My role involved completing some small translations in-house when time permitted and also reviewing the work of freelance translators and interns. I was also able to complete freelance translation work. After eighteen months, I moved to SDL to start an in-house translation role.
The MA programme gave me a solid basis from which to develop my translation career. I still refer back to notes I made during my degree, particularly from the advanced translation and language technology module. Breaking into the translation industry can be difficult but I feel that I had an advantage over graduates from other universities in that I had completed the translation work experience module, extended translation projects and an internship as part of my European Master's in TLT. Having a focus on CAT tools was useful as I was able to practice applying the skills I had learnt in the language technology module in different translation situations. My knowledge of CAT tools was valuable to the operations management team during my project management role and it is now vital for me as a translator at SDL International. I would recommend this course to anyone looking to enter the translation industry."
Jennifer Green
The combined specialisation in language development provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter-related aspects of human spoken communication. It prepares students from different backgrounds for work in the rapidly developing fields of language development research, and their technological applications.
Students take a core set of modules building a foundation to study current issues and research in the language sciences, specialising in language development. In selecting the modules for their specialisation, students will be able to take full advantage of the breadth of expertise in language research in the UCL Division of Psychology & Language Sciences.
Students undertake modules to the value of 180 credits.
The programme consists of two mandatory modules (45 credits), three specialisation modules (45 credits), two optional modules (30 credits) and a research project (60 credits).
Mandatory modules
Optional modules
Students select two modules from all those offered within UCL Psychology & Language Sciences, subject to availability and agreement with the Programme Director. A list of possible options is listed below:
Not all modules will run every year; some modules may require a minimum number of registered students.
Dissertation/report
All students undertake an independent research project in an area of language science which culminates in a dissertation of 10,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, small-group teaching and a virtual learning environment. Some modules also involve workshops or practical classes. Student performance is assessed through coursework, examinations and the research project.
Further information on modules and degree structure is available on the department website: Language Sciences (with specialisation in Language Development) MSc
The majority of students who graduate from Language Sciences MSc programmes go on to further study or research. Recent graduates have gone on to PhD study in UCL, and in other UK and overseas institutions. Others have gone to work in related industries (for example in speech technology industries, cochlear implants manufacturers) or in education. The skills that the MSc develops - independent research, presentation skills, and statistics - are transferable skills that are very highly sought after outside academia.
Recent career destinations for this degree
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
The UCL Division of UCL Psychology & Language Sciences undertakes world-leading research and teaching in mind, behaviour, and language. Staff and students benefit from cutting-edge resources including extensive laboratories for research in speech and language, perception, and cognition.
Opportunities for students to work with world-renowned researchers exist in all areas of investigation. The division offers a supportive environment including numerous specialist seminars, workshops, and guest lectures.
The Language Sciences MSc provides the opportunity for in-depth study of one or more areas of the language sciences. The programme is an 'umbrella degree', with a number of specialisation strands that follow a common structure.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Division of Psychology & Language Sciences
83% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. One of the scientific community’s key research objectives is the development of an intelligent robot. The Master of Artificial Intelligence explores and builds on this challenge, will you?
The Master of Artificial Intelligence programme at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.
The AI program aims at instructing and training students on state of the art knowledge and techniques in Artificial Intelligence, with specific focus either on Engineering and Computer Science (ECS), on Speech and Language Technology (SLT) or on Big Data Analytics (BDA), depending on the selected option within the program. It aims at introducing the students to the concepts, methods and tools in the field.
It aims at instructing students on the achievements in a number of advanced application areas and make them familiar with their current research directions. It aims to bring students to a level of knowledge, understanding, skills and experience that are needed to actively conduct basic or applied research on an international level. In particular, it aims to provide students with a critical scientific attitude towards the central themes of A.I.
As a master-after-master program, it is assumed that the students entering this program have already achieved the general skills and attitudes defined for any master program. Nevertheless, it is also within the aims of the program to further strengthen the skills and attitudes, within the specific scientific context that AI offers.
ECS-option: In the ECS option, in addition to the above, the program aims at instilling a problem-solving attitude towards the practice of AI. Upon completion of the program, students should be familiar with the fundamentals of AI, be aware of its reasonable expectations, have practical experience in solving AI-problems and be acquainted with a number of advanced areas within the field.
SLT-option: In the SLT-option, in addition to the general aims, the program aims to provide all necessary background and skills which are required to fully understand and to actively participate in the fast developing multi-disciplinary field of Language and Speech. This includes a thorough understanding of the theories and models that shape the field, as well as practical experience with a variety of technologies that are used and currently developed.
BDA-option: In the BDA-option, in addition to the general aims, the program aims for the same additional goals as the ECS-option, but specialized to Big Data Analytics. In particular, it aims at instilling a problem-solving attitude towards the practice of Big Data Analytics. Upon completion of the program, students should be familiar with the fundamentals of Big Data Analytics, be aware of its reasonable expectations, have practical experience in solving BDA-problems and be acquainted with a number of advanced areas within the AI-subfield of BDA.
With a Master's degree in artificial intelligence you will be welcomed by companies working in:
Information technology
You will also be qualified to work in banking or provide support for the process industry, biomedicine and bioinformatics, robotics and traffic systems. Some graduates go on to begin a PhD programme.
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