Vilnius Gediminas Technical University

What you'll study

This interdisciplinary master's blends management theory with hands-on AI methods. Courses cover the lifecycle of AI solution development, from problem definition and data strategy through model development, deployment and governance. The programme places emphasis on applying AI in organisational contexts, covering ethical, legal and societal implications.

• Core management modules: strategic management, project and product management, organisational behaviour, technology and innovation management, and decision-making under uncertainty.
• AI and technical modules: machine learning and deep learning foundations, data engineering and pipelines, natural language processing, computer vision basics, and model evaluation and interpretability.
• AI in business modules: AI for business analytics, digital transformation, AI-driven service and product design, and case studies of AI implementation across industries.
• Governance, ethics and regulation: AI ethics and responsible AI, data protection and privacy, risk management, and compliance issues relevant to deploying AI systems.
• Research and project work: an industry-linked capstone project or thesis, practicum with real datasets, and workshops on stakeholder communication and change management.

Teaching methods combine lectures, seminars, lab sessions and team-based projects. Students typically engage with programming and data tools used in industry, and are expected to demonstrate both technical competency and managerial judgement in project deliverables.

Entry requirements

Applicants are normally expected to hold a recognised bachelor's degree or equivalent in a relevant discipline such as computer science, information systems, engineering, mathematics, statistics, economics with strong quantitative content, or management with demonstrable technical experience. Where the undergraduate degree is not closely aligned, applicants should show evidence of quantitative and computing skills.

• Academic qualifications: an accredited bachelor’s degree or equivalent in a relevant field.
• Prior knowledge: foundational knowledge of programming and statistics is required; familiarity with Python or another high-level language and basic machine learning concepts is beneficial.
• Supporting documents: academic transcript(s), curriculum vitae, and a motivation letter outlining interest in AI and management.
• English language: proof of proficiency in English if prior education was not in English (accepted tests or equivalent evidence as specified by the university).
• Possible additional requirements: interview or admission task for some applicants, and recognised work experience can strengthen an application.

Career prospects

Graduates combine managerial skills with practical AI knowledge and are prepared for roles that bridge technical teams and business leadership. Typical careers include:

• AI product manager or AI project manager, leading development and deployment of AI-enabled products or services.
• Data science or machine learning team lead, overseeing models and aligning analytics with business goals.
• AI strategy consultant or technology consultant, advising organisations on digital transformation and AI adoption.
• Business analyst or analytics manager, applying AI methods to improve operations, marketing, finance or supply chain functions.
• Roles in governance and compliance related to AI ethics, data protection and responsible AI practices.

Graduates find opportunities in technology companies, consultancy firms, finance, manufacturing, public sector organisations and startups seeking to scale AI solutions.

Why study at Vilnius Gediminas Technical University

Vilnius Gediminas Technical University (VILNIUS TECH) is one of Lithuania's leading technical institutions with a track record in engineering, IT and applied sciences. The university emphasises close cooperation with industry, offering students access to practical projects, research centres and links to local and regional technology firms.

• Industry connections: programmes are designed to reflect employer needs and provide opportunities for internships, capstone projects and collaboration with companies working on AI solutions.
• Applied focus: students benefit from laboratory facilities, computing resources and applied coursework that emphasise deploying AI systems in realistic organisational settings.
• International environment: VILNIUS TECH attracts a diverse student body and participates in international research and mobility networks, supporting global perspectives on AI deployment and governance.
• Support services: career services, entrepreneurship support and research supervision help students move from study to professional practice or further research.

The programme is suitable for those who want to combine technical AI competence with managerial leadership to drive AI initiatives within organisations.