Programme overview
The Engineering of Artificial Intelligence master’s programme is designed to prepare a new generation of AI specialists equipped with deep theoretical knowledge and strong practical skills. Students will gain expertise in AI principles, methods, and technologies and learn to apply them across diverse data types (numerical, textual, visual, and audio). The curriculum emphasises hands-on learning through modern AI applications, focusing on technologies for data processing and generation, distributed systems, big data, and the Internet of Things. Ethical, legal, and user-acceptance aspects of AI implementation are also integral parts of the study process.
To enhance applied competencies, students engage in real-world challenges proposed by industry partners and participate in scientific research projects. The programme structure is organised into intensive study cycles (typically lasting one to two months), allowing students to master each subject area in depth. Lectures and workshops are conducted by Lithuanian and international experts from academia and industry, ensuring a comprehensive and globally informed learning experience.
Possible research areas include:
- Development of new artificial intelligence solution
- Research and advancement of innovative AI methods, models, and technologies.
- Modernisation of AI solution infrastructures.
What will I be able to do?
- Understand the principles, development, and improvement of various artificial intelligence solutions
- Create innovative AI systems using the latest technologies and research findings
- Conduct research on AI applications to generate new knowledge or identify optimal solutions
- Deploy AI solutions in real-world contexts, selecting suitable infrastructures and ensuring compliance with ethical, legal, and accessibility standards
- Lead interdisciplinary teams developing AI systems, coordinating technical implementation and communication among team members.
What are my career opportunities?
- Artificial intelligence systems architects or engineers
- Data scientists or AI solution developers
- AI infrastructure engineers or AI deployment and expansion experts
- Researchers in companies, innovation centres, or academic institutions focusing on AI applications and development.
Programme structure
https://vilniustech.lt/en/study-programme/engineering-of-artificial-intelligence-1593143-u-454/
Admission Requirements
https://vilniustech.lt/en/international-students/admission-requirements/
Autumn Intake Deadline
2026-06-15
