About the programme
Field of study group: Humanities
Field of study: Linguistics
Qualification degree: Bachelor of Humanities
Duration of studies: 4 years (240 ECTS)
Annual tuition fee for a state non-funded place (2026): 4000 Eur
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.
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.
Programme Structure
|
Subjects |
Credits |
|
Semester 1 Autumn |
|
|
Compulsory Courses |
30.0 |
|
English Morphology I/II p. |
10.0 |
|
English Phonetics |
5.0 |
|
Fundamentals of Information Technology |
5.0 |
|
Introduction to Linguistics |
5.0 |
|
Technologies and Digital Society |
5.0 |
|
Semester 2 Spring |
|
|
Compulsory Courses |
25.0 |
|
English Lexicology |
5.0 |
|
English Morphology II/II p. |
5.0 |
|
English Syntax |
5.0 |
|
Fundamentals of Artificial Intelligence |
5.0 |
|
Prompt Engineering and Management |
5.0 |
|
Course unit (module) of Individual Studies |
5.0 |
|
Semester 3 Autumn |
|
|
Compulsory Courses |
30.0 |
|
Academic Writing |
5.0 |
|
Data Mining and Prompt Construction |
5.0 |
|
English Stylistics |
5.0 |
|
Logic |
5.0 |
|
Semantics |
5.0 |
|
Technologies for Information Delivery Online |
5.0 |
|
Semester 4 Spring |
|
|
Compulsory Courses |
25.0 |
|
AI Ethics and Law |
5.0 |
|
AI Platforms and Tools: Creative Projects |
5.0 |
|
Practical "No Code" Programming |
5.0 |
|
Pragmatics |
5.0 |
|
Sociolinguistics |
5.0 |
|
Course unit (module) of Individual Studies |
5.0 |
|
Semester 5 Autumn |
|
|
Compulsory Courses |
20.0 |
|
Cognitive Linguistics |
5.0 |
|
Corpus Linguistics |
5.0 |
|
Creative Linguistics |
5.0 |
|
Natural Language Processing (NLP) and Neural Networks |
5.0 |
|
Optional Courses |
5.0 |
|
Analysis of Professional Discourse |
5.0 |
|
Argumentation |
5.0 |
|
Language Perception, System, and Structure |
5.0 |
|
Multimodal Communication |
5.0 |
|
Psycholinguistics |
5.0 |
|
Course unit (module) of Individual Studies |
5.0 |
|
Semester 6 Spring |
|
|
Compulsory Courses |
20.0 |
|
Analysis and Identification of Speech Signals and Images |
5.0 |
|
Digital Project Management |
5.0 |
|
Experimental Linguistics |
5.0 |
|
Social Media Discourse Analysis |
5.0 |
|
Course unit (module) of Individual Studies |
10.0 |
|
Semester 7 Autumn |
|
|
Compulsory Courses |
15.0 |
|
English and AI: Project |
5.0 |
|
Human-Robot Interaction: Query and Information System Management |
5.0 |
|
Neurolinguistics |
5.0 |
|
Optional Courses |
10.0 |
|
AI and ML Platforms |
5.0 |
|
AI and Technology: Introduction to Object-Oriented Programming |
5.0 |
|
AI Assistants and Technologies |
5.0 |
|
AI Creativity and Innovation |
5.0 |
|
AI Information and Privacy Security Principles |
5.0 |
|
AI: Programming and Tools for Machine Learning |
5.0 |
|
Deep Learning |
5.0 |
|
Practical AI Programming |
5.0 |
|
Trends and Culture of Digital Art |
5.0 |
|
Course unit (module) of Individual Studies |
5.0 |
|
Semester 8 Spring |
|
|
Compulsory Courses |
30.0 |
|
Bachelor Final Thesis (Study field: Linguistics) |
15.0 |
|
Professional Practice |
15.0 |
Career Prospects
Upon successful completion of your studies, you will become competitive English language specialists or generative artificial intelligence (GenAI) prompt management engineers. You will also be able to successfully apply your knowledge of language and artificial intelligence in a wide range of fields, such as scientific research, security, politics, media, English language teaching (e.g., in language courses), etc.
With knowledge of (English) linguistics, the functioning and application of AI, and the ability to work analytically and creatively, you will develop meaningful and effective communication between humans and machines, using specific prompts to help GenAI understand and perform the desired tasks.
You will also be able to monitor machine learning, manage communication in social networks, apply language skills to content creation and evaluation, validate the results produced by the generative models, and work as AI or learning assistants.
For applicants
Entry qualifications
An applicant must possess a high school / secondary education diploma (or higher).
N.B. for non-EU/EFTA applicants: the gap since you completed your secondary education should not exceed five years.
If your qualification meets the requirements, you will receive an invitation for a motivational interview.
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International Study Administrator Phone: (+370) 37 465539 |
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Academic Contact |
Endorsements
“I am passionate about how technology can enhance human communication; this field has helped me develop both technical and linguistic skills that guide me towards a career in artificial intelligence.”
Ayyoub Rahmani, a first-year student
"Language and prompt engineering will be a highly demanded profession in the job market for at least the next 10 years. What lies beyond that is impossible to predict. However, basic knowledge of linguistics and AI should ensure graduates a place in the job market. They will not only be able to work as prompt engineers but also perform machine learning monitoring (ML tuning), manage communication on social networks by applying appropriate language registers, assess and validate content generated by generative models (images, audio, text), and work as AI assistants or learning assistants. It is likely that the required skill set will change rapidly in the future, but a solid foundation of knowledge will enable adaptation to the evolving needs of the market."
Dr Aasish Pappu, AI researcher at META Platforms
"As the artificial intelligence (AI) market grows and its applications expand across various fields, the ability to utilise these technologies is becoming indispensable. AI is increasingly used as a tool in content creation and marketing. It simplifies work processes, boosts efficiency, and enables content personalisation. With the continued advancement of AI technologies, their role in these fields will only grow, offering marketers and content creators opportunities to craft more impactful and engaging content.
This study programme focuses on the practical application of AI technologies, which is critically important for preparing future language professionals—translators, journalists, or various types of text creators. These professionals will possess the skills and knowledge necessary to succeed in a rapidly changing digital environment.
As a copywriter deeply immersed in the world of AI, I see immense potential for graduates of this programme and believe it is forward-looking and well-aligned with current industry needs."
Aurelija Skebaitė, Creative Copywriter at "Nord Security"
Frequently asked questions
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.

