Research master - full-time

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 EC)
Croho code: 60817
Language of instruction: English
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Faculty: Arts

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Why study this programme in Groningen?

Unique combination of theoretical linguistics and computer-science research in a multilingual setting.
Rapidly evolving area of study with excellent career opportunities, both in industry and academia.
Erasmus Mundus Master's Programme.

Programme

	Semesters
CoursesCourse Catalog >	1a	1b	2a	2b
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 >	1a	1b	2a	2b
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

Admission requirements

Specific requirements	More 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 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.

Transfer options

Transferring from...

All Research universities

Study programme	Organization	Transition
Cognitive Science and Artificial Intelligence	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Artificial Intelligence	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Computing Science	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Artificial Intelligence	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Information Science	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Linguistics	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Computer Science	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.
Data Science and Artificial Intelligence	All Research universities	Additional requirements More information: Please note that this programme has a selection procedure.

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 requirements	More 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 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.

Tuition fees

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

Practical information for:

Dutch students International students

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

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

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)

Apply now Brochure Events Contact

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

I look forward to collaborating with others and contributing to projects that advance NLP technology

I'm Anna Smirnova, and I recently completed my first year of the Master's programme in Natural Language Processing at the University of Groningen. Moving to the Netherlands for my studies was an exciting milestone — it's the first country I've lived in outside my home country, and I absolutely enjoyed the experience. I'm fluent in Russian and English, have some basic knowledge of French, and I am currently learning Dutch.

With a background in Computational Linguistics and some experience in the NLP field, I wanted to dive deeper into its mathematical side, improve my computer science skills, and connect with others who are passionate about NLP and machine learning. When I applied for the Master’s programme, I already knew some people who had completed it, and everything—from the courses to life in the city—felt like the right choice.

Flexible course options
Thanks to the flexible course options, I took classes at both the Faculty of Arts and the Faculty of Science and Engineering, gaining hands-on research experience in different areas of NLP and Computer Science. Along the way, I worked with many enthusiastic professors and students, which made the experience even more rewarding.
I am eager to continue my research journey in Natural Language Processing, whether in academia or industry, with a focus on research. I’m particularly interested in working on real-world problems, developing new solutions, and expanding my knowledge in the field. I look forward to collaborating with others and contributing to projects that advance NLP technology.

Tips
The university and the city offer plenty of opportunities for both personal and professional growth, as well as entertainment. Since NLP is a research Master’s programme, consider working on personal projects or participating in competitions to enhance your skills. Be sure to explore course catalogs, join student group chats, and check out festival and city event calendars. You’ll find many interesting and enthusiastic people who are often ready to welcome and support you.

Student Anna Smirnova

'I gained a lot of experience and confidence in designing and implementing my own research projects'

Hi! I'm Maria Francis, and I spent the first year of my Master's degree in Language and Communication Technologies in Groningen, with NLP as my local host programme. I grew up in Germany, and I speak English and German, plus some Japanese, Dutch, and Italian.

The opportunity to study language from different perspectives
Since high school, I’ve always been interested in language. On one hand, I’m interested in language in an analytical sense - the structure of language and the different ways it can encode meaning. On the other hand, language is primarily a tool for communication, and I find the relation between language, culture, and the ways of life of individuals a beautiful thing to study. In Natural Language Processing, you’ll have the opportunity to study language from these perspectives and more, and you’ll gain experience using this knowledge to solve real problems using machine learning and artificial intelligence. Of course, a Master’s degree in NLP opens doors to a broad range of opportunities, be it in academia or in the industry.

Community feeling
I absolutely loved my year in Groningen. During my courses, I developed a unique and well-rounded perspective on current NLP research by taking in syntax, semantics, cognitive psychology, artificial intelligence, natural language processing, and more. Most courses ended with a practical project, and I gained a lot of experience and confidence in designing and implementing my own research projects. What really stood out to me was the community feeling among the NLP group. The researchers at Groningen are a welcoming, friendly, happy, and open group of people, and you’ll quickly feel at home among them!

Besides studies, Groningen itself is a very charming town with an active student life. There are plenty of events such as live music, open mic nights, and Erasmus get togethers. If you’re the sporty type, you’ll never run out of things to do. You can either go to ACLO and take part in pretty much any sport you can imagine, or you can hop on your bike and take a ride through the gorgeous Dutch countryside.

Tips
The Groningen NLP faculty gives you plenty of opportunities to learn outside of class. Put yourself on the mailing list for NLP-related events and attend the weekly seminars, panel sessions, attend PhD parties, and get to know people!

Student Maria Francis

This Master's programme played a major role in preparing me for a PhD

My name is Sara Nabhani, and I'm from Palestine. I studied Computer Science for my Bachelor's degree, where I developed a strong interest in big data and machine learning. Over time, I became particularly drawn to Natural Language Processing (NLP) and its role in bridging human communication with artificial intelligence.

After working as a Data Scientist for three years, mainly on NLP-related projects, I realized how fast the field was evolving and how important research skills were for keeping up with advancements. This motivated me to pursue a Master’s in NLP, which led me to the Natural Language Processing programme of the UG.

The NLP Master’s programme provided me with a strong foundation in both research and practical skills, making me well-prepared for both industry and academia. One of the key strengths of the programme is its research-oriented approach. I learned how to conduct independent research, write academic papers, and effectively communicate my findings—all of which are valuable skills not only in academia but also in industry. At the same time, the programme didn’t just focus on theory; it also emphasized real-world applications. I gained hands-on experience working with NLP frameworks, machine learning models, and large-scale datasets.

A major advantage of the NLP programme is its dual-university structure. Studying at two universities gave me exposure to different teaching styles, research methodologies, and areas of specialization within NLP. It also meant graduating with a double degree, which is a significant advantage in the job market.
I am currently a PhD student at the University of Groningen, specializing in Computational Linguistics. Looking back, I can say that the NLP Master’s programme played a major role in preparing me for this PhD. It gave me the research foundation, technical expertise, and professional connections that made the transition into academia seamless. If I could give some advice to current NLP students, it would be to fully embrace the experience—both academically and personally. This programme offers so many opportunities, and making the most of them will truly shape your journey.

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.

Master's degree programme in Linguistics

The Faculty of Arts also offers one year master’s degree programmes in Linguistics and Information Science.

Study associations

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

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.