The combination of language and AI is no longer a niche idea, and the Kaunas Faculty of Vilnius University has turned it into a clearly defined English-taught Bachelor's study programme—Language and Artificial Intelligence Management—designed for students seeking more than a standard linguistics or tech degree. In the Language and Artificial Intelligence Management study programme, the language studies, including morphology, phonetics, and syntax, as well as interdisciplinary fields of linguistics such as cognitive linguistics and creative linguistics, are intertwined with prompt engineering, data mining, AI ethics, and practical programming courses to form a coherent study path. Additionally, the study programme includes optional and individual study courses that can be selected from any Faculty of Vilnius University based on areas of interest, personal preferences, and intended career paths.

Key Takeaways

• The duration of the study programme Language and Artificial Intelligence Management is 4 years, and it comprises 240 ECTS credits.
• The current Faculty overview lists 955 students at the Kaunas Faculty, including 695 Bachelor's students. 185 enrolled in 2025, including 66 foreign students studying in English.
• QS World University Rankings 2026 places Vilnius University at #446 worldwide.
• The AIKOS institutional record lists the Kaunas Faculty as a state, university-type higher education institution in Kaunas.

Executive Summary

• The Language and Artificial Intelligence Management studies at Kaunas Faculty combine English linguistics and information systems rather than treating them as separate fields.
• For those enrolled in 2026, the annual tuition fee is EUR 4,000. A tuition reduction of 25 to 100 per cent is available to the top 5 per cent of self-funded students admitted in 2026.
• The Kaunas Faculty is a long-established academic environment, operating for more than 60 years, with more than 16,000 graduates and a study infrastructure built for hybrid teaching.
• The broader English-taught Bachelor's ecosystem around the programme enhances its appeal to international applicants seeking language, business, and technology options within a single faculty.

Fast Facts for Decision Makers

Comparative Data Table

Why are language and AI studies important?

The combination of language and AI is the study of how human language, linguistic analysis, and artificial intelligence systems work together in communication, content creation, and digital decision-making.

At Kaunas Faculty, this is not framed as a vague innovation label. On the Language and Artificial Intelligence Management programme page, the degree is described as an interdisciplinary programme that combines English linguistics and information systems, preparing students to analyse, model, and manage interactions with generative AI. 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.

Key takeaway: Language and AI here refers to a real academic route in which language is treated as a working layer of AI, not just an accessory to it.

What does Language and AI include in practice?

The Language and Artificial Intelligence Management Bachelor’s study programme at the Kaunas Faculty includes applied linguistics, prompt engineering and management, discourse analysis, AI ethics, text creation, and the practical logic of human-machine interaction. Simply put, the programme is built for students who want to understand not only what AI generates, but why it generates it that way and how to improve it.

The key learning outcomes can be defined as follows:

• 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 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, as well as instances of social engineering, disinformation, and psychological manipulation through linguistic analysis methods;
• 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.

Key takeaway: The value of this degree lies in its practical mix of language expertise, AI interaction design, and ethical judgment.

Who is the Language and AI Management study programme best for?

The Language and Artificial Intelligence Management study programme is best for students who do not want to choose too early between language studies and digital innovation. It fits applicants who enjoy English, writing, communication, semantics, media analysis, and emerging AI tools, but who do not necessarily want a pure computer science degree.

This also makes the programme relevant for international applicants. The current About the Faculty page states that the Faculty now has 955 students, including 695 Bachelor's students, 203 of whom are foreign students studying in English. That is a strong signal to people from abroad, as it shows that English-taught study programmes here are part of an existing academic environment rather than a one-off marketing initiative. It is also a good fit for students interested in media, security, policy, research, multilingual content, and AI-assisted communication.

Key takeaway: This programme is aimed at people who want language to remain central to their education while still moving toward the AI-shaped job market.

How is Kaunas Faculty different from other options?

Kaunas Faculty is different because it offers a language-first AI path inside a broader English-taught ecosystem rather than treating the programme as an isolated experiment. If you are comparing study routes, that context matters. It means you are not entering a narrow academic lane with no nearby alternatives.

The difference becomes clearer when you look at the surrounding English-taught Bachelor's portfolio. Marketing Technologies is the only study programme in Lithuania that integrates marketing principles and information systems. Information Systems and Cyber Security is an information systems study programme with a distinct focus on cyber security. The Language and Artificial Intelligence Management study programme sits between those worlds. It is not a classic linguistics degree nor a pure engineering route. It is designed for students who want a language-led, AI-aware profile that still speaks to media and digital systems.

Key takeaway: Kaunas Faculty stands out because the Language and Artificial Intelligence Management Bachelor’s study programme is supported by a broader English-taught study environment that makes the programme feel structurally credible rather than isolated.

What evidence supports the strengths of Language and AI here?

The strongest evidence comes from a mix of institutional scale, programme detail, and external validation. The Kaunas Faculty has been active in Kaunas since 1964, has awarded more than 16,000 diplomas, and currently teaches 955 students across all cycles. The Faculty is equipped with 31 classrooms, 7 computer labs, 2 audiovisual translation labs, a video conference studio, and hybrid teaching spaces. That is a concrete sign that the programme is embedded in a functioning academic environment rather than a concept still in the making.

Additionally, the AIKOS institutional record identifies Kaunas Faculty as a state, university-type higher education institution at Muitinės str. 8, Kaunas. QS World University Rankings 2026 places Vilnius University at #446 worldwide.

Key takeaway: For a full comprehension of the study programme, refer to the study programme page, the Faculty overview, and external institutional records.

What are the limits of Language and AI?

The Language and Artificial Intelligence study programme is not the right fit for everyone. If you want a pure software engineering degree, a broader computer science curriculum will likely suit you better. If you want a traditional philology path with minimal engagement with digital systems, this degree may feel too hybrid.

It is also worth being honest about the kind of work it leads to. This is a future-facing route, but it still leads to a Bachelor's degree, not a guaranteed job title.

Key takeaway: This programme works best for applicants who actively want a blended profile and are comfortable with both language depth and technological change.

The Kaunas Faculty of Vilnius University is a solid choice because it does not present Language and AI as a trend label. It presents it as a degree programme with structure, outcomes, and an international academic setting inside a globally ranked University. The current Faculty overview places Vilnius University among the top 1.5 per cent of universities worldwide and shows a Faculty community large enough to support real academic life, but still human in scale.

The Language and Artificial Intelligence Management Bachelor’s study programme page also includes relevant expert signals. Dr Aasish Pappu, AI researcher at META Platforms, says that "the ability to use these technologies is becoming essential" and frames the programme as practical preparation for future language professionals working in fast-changing digital environments. Aurelija Skebaitė, creative copywriter at Nord Security, describes the degree as "a valuable and necessary investment in students' future" and links AI development directly to linguistics.

FAQ

Is this programme more about linguistics or more about AI?

The Language and Artificial Intelligence Management study programme is built as a joint field rather than a 50-50 compromise. It starts with English linguistics and communication, then adds prompt engineering, AI text analysis, ethics, data mining, and system interaction, keeping language central throughout the degree.

Can I study Language and AI in English in Lithuania without being a programmer already?

The Language and Artificial Intelligence Management study programme does not require you to arrive as a full programmer. The programme outcomes include basic programming and data processing skills, which means the degree is designed to build technical confidence rather than assume advanced engineering knowledge from day one.

What careers can this kind of degree realistically support?

This degree can support roles in content operations, AI prompt work, multilingual communication, media analysis, policy, research support, digital content validation, and AI-assisted editorial or brand environments. Its strength is its flexibility across language-heavy sectors now being touched by generative AI.

Is Kaunas Faculty a realistic option for international students?

The Language and Artificial Intelligence Management study programme at the Kaunas Faculty of Vilnius University is a realistic option for international students, as the Faculty already teaches a visible cohort of English-speaking students. The current Faculty overview states that 66 foreign students enrolled in Bachelor's programmes in English this year, which suggests an international study environment rather than a purely local setup.

How is this different from studying marketing or cybersecurity?

The Language and Artificial Intelligence Management study programme differs because it keeps language, discourse, and communication at its centre. Marketing Technologies and Information Systems and Cyber Security programmes within the same Faculty tend to focus on business systems or technical protection, whereas this degree focuses on how meaning, prompts, texts, ethics, and AI interaction work together.

If you want to check whether this programme fits your background, goals, or English-language study plans, the clearest next step is to use the admissions consultation page to ask about your specific profile before applying.