
Language and Artificial Intelligence Management
This interdisciplinary study programme combines English linguistics and information systems. The aim of the programme is to train specialists with a unique profile who, using their comprehensive linguistic competence, can analyse, model, and manage the interactions of generative artificial intelligence (AI) and critically evaluate the discourse created by technology. During your studies, you will learn to apply your knowledge of language and AI across various fields, from research and security to politics, media, business, and public service.
During their studies, students will learn to design, assess, and refine the interaction between humans and generative AI systems. By applying fundamental linguistic (semantics, pragmatics, discourse analysis) and technological methods, students will develop the ability to manage AI systems and adapt flexibly to ongoing technological changes. This will ensure that AI systems interpret tasks more precisely and produce responses that are both contextually and ethically appropriate.
Entry qualification
High school / secondary education (or higher)
N.B. for non-EU/EFTA applicants: the gap since your completed secondary degree should not exceed five years.
If your qualification meets the requirements, you will receive an invitation for a motivational interview.
The entry qualification documents are accepted in the following languages: English / Lithuanian.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
Translation is considered to be official when it is bound together with the certified true copy of the original document and is confirmed by the translator’s signature. Documents issued in English, Lithuanian must be certified true copies and do not require translation.
Language requirements
English
The following language certificates are accepted for study programmes taught in English: IELTS Academic 6.5+, TOEFL iBT 81+, Cambridge English Exam 176+, Pearson PTE Academic 59+, LanguageCert IESOL B2, Duolingo English Test 120+, Password Skills Plus 6.5+ or another language proficiency certificate equivalent to B2 CEFR (Common European Framework of Reference for Languages).
If your first language is English and/or if you have a university degree in English, you will be exempt from providing an English language test score.
Other requirements
A motivation letter must be added to your application.
Applicants from Bangladesh, Nepal and Pakistan must submit OMPT-C (Online Mathematics Placement Test) Certificate (minimum passing grade – 55%).
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- Graduates will become specialists in the responsible use of generative AI, able to critically evaluate and implement technological solutions in the swiftly expanding digital innovation sector.
- Graduates' ability to maintain ethical communication standards and identify manipulative content will be a significant advantage in pursuing careers in science, security, politics, media, or business.
- After completing your studies, you will be able to express your thoughts fluently and accurately in English (at a level not lower than C1), critically evaluating and considering the communicative intention, the addressee, and the social and cultural context.
- You will create and/or edit written, spoken, and multimodal texts of various genres, using the principles of stylistic analysis and discourse formation.
- You will analyse and evaluate natural and AI-generated language texts at the phonetic, morphological, syntactic, semantic, and pragmatic levels, based on linguistic theories and methodologies.
- You will develop, evaluate, and refine generative AI queries to ensure semantic accuracy, pragmatic adequacy, and relevance of results to user needs.
- You will identify and analyse inaccuracies, bias, manipulative or unethical elements in AI-generated content.
- You will be able to model and assess human-AI linguistic interaction using linguistic and analytical methods.
- You will analyse and structure data used for training AI models and assess their quality and appropriateness.
- You will have the fundamental programming and data processing skills necessary to work with AI systems.
- You will be able to explain the process of creating generative AI systems and their operating principles (data collection, model training, evaluation, and application), and to evaluate their possibilities and limitations in a reasoned manner.
- You will be able to identify instances of social engineering, disinformation, and psychological manipulation through linguistic analysis methods.
- You will learn the ethical and legal principles of AI use, particularly in language generation and processing, and apply them in your academic and professional activities.
- You will think creatively and experiment responsibly with language and query strategies to enhance the performance of AI systems.
- 4 000 EUR
Tuition fee
Students who are citizens of the European Union, the European Economic Area countries and of other foreign countries, admitted to non-state-funded places in the first year of first-cycle and second-cycle studies through the University’s foreign student application system, must pay the annual tuition fee within 15 calendar days from the date of the offer to study.
After the student pays the tuition fee, he receives the final acceptance letter. Then our International Relations Office provides the necessary information related to obtaining a temporary residence permit in Lithuania and sends a mediation letter to the student by e-mail (for non-EU citizens).
Application fee
The application fee is €100 per application. Each applicant can choose up to three programmes within one application.
Online applications will only be processed once the application fee has been paid.
Please note that the application fee is non-refundable. Make sure you read the admission requirements and deadlines carefully before submitting your application, as the fee cannot be refunded if you are found to be ineligible or miss a deadline.
Tuition Fee Waivers
Tuition Fee Waivers and Scholarships to Apply for Before Studies
- Tuition fee waivers for students admitted to non‑state‑funded places: For the top 5 percent of students admitted in 2026, the tuition fee for the semester may be reduced by 25 to 100 percent, depending on the academic results of the previous semester. To qualify, all subjects from the previous semester must be graded at least 9 on a 10-point scale.
- Tuition fee waivers for Ukrainian citizens: Students from Ukraine with the highest admission results may receive a reduction of up to 100 percent of the tuition fee for the first (autumn) semester.

Career prospects
Is there a greater focus on language or technology?
Both areas are closely linked in these studies. That is what makes the programme so interesting.
It is not just language studies, nor is it IT engineering. It is modern English + artificial intelligence management, where you learn not only to understand the language, but also to make AI systems understand it the way you need them to.
Will I need to learn programming? If so, how in-depth?
Short answer: yes, but minimally—only as much as is actually necessary when working with AI. This study programme does not train programmers who spend their days coding. However, you will become familiar with the main programming languages and tools, and if you wish, you will be able to deepen this knowledge through optional modules.
Will there be demand for such specialists in the future?
Yes, a very high demand. The AI market is growing so quickly that companies struggle to find people who understand both language and artificial intelligence. Proof of this can be found in today's list of professions: from AI prompt engineers and chatbot developers to content analysts, machine translation specialists, and AI ethics experts. It may sound bold, but it is true—these are some of the studies that guarantee a job in the future world.




