Vilnius University
Bachelor in Language and Artificial Intelligence Management

Kaunas, Lithuania

DEGREE TYPE

Bachelor's degree

DURATION

4 years

LANGUAGES

English

PACE

Full time, Part time

APPLICATION DEADLINE

01 Jul 2027*

EARLIEST START DATE

Sep 2027

STUDY FORMAT

On-Campus

* 1 May for applicants from non-EU/EFTA countries | 1 July for citizens of EU/EFTA

Key Summary

About: The Bachelor in Language and Artificial Intelligence Management at Vilnius University trains English-language professionals and Generative Artificial Intelligence (GenAI) prompt engineers. You'll study linguistics, prompt writing, AI management, and human–machine communication through problem-based learning, optional modules from semester 2, industry-led workshops, ERASMUS+ exchanges, and a three-month professional practice in companies and public institutions.

Career Outcomes: Graduates can pursue Master's study or work as prompt engineers, content creators/validators, AI learning assistants, machine learning specialists, language educators, social media managers, or AI consultants in business or government; roles in research, security, media, and policy are possible, including public service roles abroad.

The programme will prepare (English) language professionals who are competitive in the labour market and Generative Artificial Intelligence (GenAI) prompt engineers. Graduates will be able to successfully apply their knowledge of language and AI in a wide range of fields: research, security, politics, media, English language teaching (language courses), etc.

With knowledge of (English) linguistics and the functioning and application of AI, and the ability to work analytically and creatively, they will develop meaningful and effective communication between humans and machines, using specific prompts to help GenAI understand and perform the desired tasks.

Why choose this programme?

The students learn how to tackle linguistic problems to enable smooth and effective communication between machines/robots and humans so that the machines perform the desired tasks.
The problem-based teaching and learning methods help the students to develop digital, analytical, critical thinking and problem-solving skills in prompt writing, content creation and validation; to advance their communication, cooperation and decision-making skills for effective AI management; and to foster creativity through project activities.
From semester 2 onwards, students can choose the subjects they want to study from a block of optional modules, increasing opportunities to deepen the desired competencies.
In addition to the University lecturers, representatives of companies with extensive experience in Artificial Intelligence, linguistics, and management also share their practical knowledge.
Opportunities for exchange studies and internships abroad (ERASMUS+ or other programmes).
The three-month professional practice in companies, organisations, and public sector institutions helps build the necessary skills to succeed as a professional in linguistics and AI management.

The learning outcomes of the study programme conform to the main provisions of the qualification requirements of the humanities, job market demands, student expectations for the study process, and the relevance of the acquired skills in Lithuania and internationally.

The learning outcomes:

Analytical and critical thinking;
Ability to work individually and in a team;
Ability to express oneself fluently in English (C1 level), taking into account and critically evaluating the communicative intention, the addressee, the social and cultural context, etc.;
Ability to produce and/or edit written, spoken and multimodal texts of various genres and types, taking into account cultural, social, stylistic and other contexts;
Ability to create, evaluate and share content on the Internet;
Ability to identify, analyse and evaluate problems related to the quality or relevance of AI-generated content; develop effective prompting strategies to guide AI solutions and to promote the generation of targeted (avoiding errors and inaccuracies) outputs that meet user needs;
Ability to understand, describe, analyse and evaluate natural and AI-generated language phenomena (and/or texts) at different levels (phonetic, phonological, morphological, syntactic, semantic, pragmatic, etc.), using appropriate terminology, drawing on different linguistic theories, and employing appropriate methods;
Ability to use practical application of English phonetics, morphology, syntax and vocabulary to identify false or unethical content generated by AI and instances of psychological manipulation by social engineering.
Ability to analyse and organise the data used for AI training and to use language to model and evaluate AI systems to ensure their effectiveness and appropriateness;
Knowledge of basic programming languages and tools and the ability to understand and explain the process of developing AI systems (from data collection and processing to model training and evaluation), generative AI technologies, models and algorithms and to put them into practice in the development or improvement of IoT systems;
Ability to master advanced machine learning technologies and algorithms and build the skills to ensure effective interaction between computer and human language using natural language processing (NLP) techniques.