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Education Master's and PhD degree programmes Linguistics - Research Natural Language Processing - Research
Header image Natural Language Processing

Natural Language Processing

How do you make Large Language Models? How do people experience Natural Language Processing (NLP) applications? How can we use these technologies to analyze subjective framing of text, detect mistranslations, and make Large Language Models more transparent?

NLP is everywhere: Machine Translation is increasingly employed for communication, advanced search engines are utilized to extract content from diverse media, and GenAI is used to assist creative writing. Research in NLP is crucial because it enables machines to understand, interpret, and generate human language, making human-computer interaction more natural and accessible, while also opening up new possibilities for automating and enhancing tasks across various industries.

This international Double Degree track in Natural Language Processing combines Linguistics and Computer Science, which means you study human language technologies in a multilingual setting.

The two-year training is part of the prestigious international Erasmus Mundus programme. You will spend the first year of your studies in Groningen and will finish the programme at one of our partner universities in the second year. After completing the track, you will receive two Master's degrees: a degree in Linguistics from the University of Groningen and a second Master's degree from the partner university you choose to stay at.

Natural Language Processing is a Master’s track, embedded in the Language and Communication Technologies Erasmus Mundus programme.
Facts & Figures
Degree
MA/MSc in Linguistics (research)
Course type
Research master
Duration
24 months (120 ECTS)
Croho code
60817
Language of instruction
English
Start
Faculty
Arts
Why study this programme in Groningen?
  • Unique combination of theoretical linguistics and computer-science research in a multi-lingual setting.
  • Rapidly evolving area of study with excellent career opportunities, both in industry and academia.
  • Erasmus Mundus Master's Programme.
Programme
Semesters
CoursesCourse Catalog >1a1b2a2b
Basic Statistics (5 EC)
Corpus Analysis (5 EC)
Linguistic Analysis (10 EC)
Elective courses (for example Language Modelling, Learning from Data, Multichannel Management, Neuro-Imaging and Language) (40 EC)
Natural Language Processing (5 EC)
Language Technology Project (5 EC)
Semesters
CoursesCourse Catalog >1a1b2a2b
Exchange Programme (30 EC)
ResMa Thesis Linguistics, Thesis Class (30 EC)
Programme options
Master's placement (specialization)

During this Master's track, you can follow a placement for 10 ECTS credit points.

It is your responsibility to find a placement yourself, but the Mobility Office can offer help with this where necessary. Click the link above to find examples of placements completed by other Master's students.

Study abroad

  • Study abroad is required
Entry requirements

Transfer options

Transferring from...

Study programmeOrganizationTransition
Information ScienceUniversity of Groningen

Additional requirements

More information:

Please note that this programme has a selection procedure.

LinguisticsUniversity of Groningen

Additional requirements

More information:

Please note that this programme has a selection procedure.

Artificial IntelligenceUniversity of Groningen

Additional requirements

More information:

Please note that this programme has a selection procedure.

Computing ScienceUniversity of Groningen

Additional requirements

More information:

Please note that this programme has a selection procedure.

Study programmeOrganizationTransition
Computing ScienceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Computer ScienceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

LinguisticsAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Artificial IntelligenceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Artificial IntelligenceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Cognitive Science and Artificial IntelligenceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Data Science and Artificial IntelligenceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Information ScienceAll Research universities

Additional requirements

More information:

Please note that this programme has a selection procedure.

Admission requirements

Specific requirementsMore information
previous education

Prospective students with a a Bachelor's degree in Linguistics or another Bachelor's degree with a substantial linguistics component are admissible to this master's track. Examples of these types of Bachelor's programmes are:

  • Computer Science
  • (Computational) Linguistics
  • Artificial Intelligence
  • Digital Humanities
  • Language Technologies
  • Cognitive Science
  • Mathematics, or relevant disciplines
grade list

An excellent academic record: An overview of the results achieved so far within the Bachelor's degree programme and/or other university degree programmes is required.

Curriculum Vitae (CV)

A Curriculum Vitae (CV)

language test

Additional English language requirement: A VWO diploma or a subject certificate for VWO English (mark 6 or higher), minimum requirement of TOEFL iBT 100 (with a minimum score for speaking and writing of 25 (each)), or an IELTS score of 7 (with a minimum of 6.5 on all items).

reference letter

Two personal letters of recommendation from staff members who can comment on the students' affinity with and capacities for research.

(motivation-) letter

A letter outlining the prospective student's motivation for selecting the programme and Research Master's track, including their expectations and interests.

other admission requirements

NB: Students must complete one year abroad at one of the partner universities. For more information, see: https://lct-master.org/contents_2014/application.php

For detailed admission requirements please see the programme website: https://lct-master.org/

The selection procedure is also based on an evaluation of degree certificates, student motivation, the thesis or other writing sample, and fit for the UG programme. Students who have not yet completed their Bachelor can be given provisional admission.

To assess whether your educational/academic background meets the specific programme requirements, we will consider the level and curriculum of your previous studies, and the grades that you have obtained. This evaluation is carried out by our Admissions Office and the Admissions Board.

Registration procedure

Note: it's not possible to start in February. For more information, please contact the study advisor.

The application deadline for both EU and non-EU students is 28 February 2025, if you wish to start the programme on 1 September 2025. You can apply for the track Natural Language Processing through the Language and Communication Technologies webpage.

Admission requirements

Specific requirementsMore information
previous education

Prospective students with a Bachelor's degree in Linguistics or another Bachelor's degree with a substantial linguistics component are eligible for admission to this Master's track. Examples of these types of Bachelor's programmes are:

  • Computer Science
  • (Computational) Linguistics
  • Artificial Intelligence
  • Digital Humanities
  • Language Technologies
  • Cognitive Science
  • Mathematics, or relevant disciplines
grade list

Excellent academic record, with a grade of 8.0 or higher on the thesis written for the B.A. or previous M.A. degree.

Curriculum Vitae (CV)

A Curriculum Vitae (CV)

language test

Additional English language requirement: A VWO diploma or a subject certificate for VWO English (mark 6 or higher), minimum requirement of TOEFL iBT 100 (with a minimum score for speaking and writing of 25 (each)), or an IELTS score of 7 (with a minimum of 6.5 on all items).

reference letter

Two personal letters of recommendation from staff members who can comment on the students' affinity with and capacities for research.

(motivation-) letter

A letter outlining the prospective student's motivation for selecting the programme and Research Master's track, including their expectations and interests.

other admission requirements

NB: Students must complete one year abroad at one of the partner universities. For more information, see: https://lct-master.org/

For detailed admission requirements please see the programme website: https://lct-master.org/

The selection procedure is also based on an evaluation of degree certificates, student motivation, the thesis or other writing sample, and fit for the UG programme. Students who have not yet completed their Bachelor's can be granted provisional admission.

To assess whether your educational/academic background meets the specific programme requirements, we will consider the level and curriculum of your previous studies, and the grades that you have obtained. This evaluation is carried out by our Admissions Office and the Admissions Board.

Registration procedure

Note: it's not possible to start in February. For more information, please contact the study advisor.

The application deadline for both EU and non-EU students is 28 February 2025, if you wish to start the programme on 1 September 2025. You can apply for the track Natural Language Processing through the Language and Communication Technologies webpage.
Tuition fees

EU-students: 4250 € per year Non-EU students: 8500 € per year

Practical information for:

After your studies

Job prospects

After graduation, you are well prepared for a career in Information Technology. You can work on subjects such as machine translation, knowledge and data engineering, expert in Large Language Models and Explainable AI, human-computer dialogue systems, machine learning engineer, computational linguist, among others.

You can also continue your career in research, for instance as a PhD student at a university.

Job examples

  • Language engineer
  • Data Analyst/ Data Scientist
  • Software engineer
  • Data Manager
  • Knowledge engineer
  • Computational Linguist
  • Data Linguist
Research

The EM LCT courses are predominantly taught by researchers from the computational linguistics group of the Centre for Language and Cognition. The group specializes in automatic syntactic analysis (of Dutch and other languages), automatic semantic interpretation, machine translation, and authorship studies. In various projects, we have contributed to syntactic parsing of Dutch: Alpino parser for Dutch, Universal Dependencies treebank for Dutch, Deep semantic interpretation (parallel meaning bank), and dialectology (visualizing dialects).

Master students are actively encouraged to become involved in research, either through research assistantships, or by participating in working groups that participate in shared tasks, such as authorship attribution (Groningen Lightweight Authorship Attribution) or language identification (The power of character n-grams in Native Language Identification)

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Master's Weekdiverse locatiesMore information

Contact

  • Ask Your Question Here (please fill in this contact form, we will answer you as soon as possible.)
  • PhD Tommaso Caselli, (Coordinator)
    Email: emlct rug.nl
  • Caroline Dijkema (Study Advisor)
    Email: rema.linguistics.advice rug.nl

NL Scholarships

The University of Groningen offers NL Scholarships to international students from outside the European Economic Area (EEA) who want to do their master’s in the Netherlands. Read more on the NL Scholarships and on how to apply.
Read more

Master's degree programme in Linguistics

The Faculty of Arts also offers a one year master’s degree programme in Linguistics.

Read more

Study associations

Synthesis

Synthesis is the new study association for all Research Master students from the Faculty of Arts. Synthesis is both a social network and a platform for the academic development of young scholars. Given our shared interest in academic research, Synthesis organizes a variety of seminars, lectures and workshops about academic skills or career strategy with interesting speakers from different fields.
Synthesis also aims to create and maintain an active Research Master community by organizing social activities such as drinks, dinners and fun trips. Join our Facebook group for more information.
https://www.facebook.com/groups/468316950175210/

ZaZa

Study association ZaZa is the study association for the study Dutch Language and Culture and Linguistics at the University of Groningen.
As a study association for Dutch Language and Culture and Linguistics, naming the association after our beloved alphabet seemed a perfect fit. After all, what are language and literature without letters? Take the first and the last letter of our alphabet, double them, add a touch of creativity and there it is, our name ZaZa. The goal of ZaZa is to unite students with a passion for the Dutch language/literature and linguistics by organizing both events related and unrelated to our studies. That goal is pursued with the help of eleven active committees, two lustrum committees and two advisory committees.
http://www.zaza-nederlands.nl
Read more
Study support

Each Master's degree programme has a study advisor whom you can contact if you have questions or need advice about your degree programme and other study-related matters. Everything you discuss will be treated confidentially. If you have a more complex problem, for example study delay, a performance disability or if you are ill for a long time, you should contact a student counsellor.

In addition, you can also follow various courses at the Study Support section of the Student Service Centre (SSC), for example on study stress and holding presentations.