Language and Artificial Intelligence Management

Programme structure

Key Learning Outcomes

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.

Programme Specific Requirements

• Matura (high school leaving) certificate
• Motivational interview.
• English language proficiency at a level not lower than B2 (following the Common European Framework of Reference for Languages (CEFR).

In addition, all applicants have to fulfil the general admission requirements.