Kaunas University of Technology

Overview

The Master's programme in Artificial Intelligence in Computer Science at Kaunas University of Technology (KTU) equips students with the skills to design, train, and evaluate intelligent systems using cutting-edge machine learning and deep learning techniques. Students will engage with advanced computing resources while working on research and industry-relevant projects in fields such as computer vision, speech recognition, and data-driven intelligence.

What you'll study

The programme blends advanced coursework with a strong emphasis on research-oriented learning. Core AI and computer science topics will be covered, alongside applied projects and a final thesis or capstone project.

Core learning areas

• Machine learning & deep learning: Focus on model training, evaluation, optimization, and practical experimentation.
• Intelligent systems: Learn to design AI solutions and integrate models into software systems.
• Data and computation: Emphasize data processing, experimentation workflows, and high-performance computing (HPC) resources.
• Research methods: Gain skills in scientific problem formulation, literature review, and independent research practice.

Typical study components

• Advanced modules: Courses covering AI, informatics, and related methodologies.
• Electives: Opportunities to specialize in areas such as computer vision, speech and language technologies, semantic analysis, or data-driven methods.
• Applied project(s): Engage in projects supported by academic staff and, where possible, industry collaboration.
• Final thesis/capstone: Conduct original research or develop a substantial applied project, culminating in a written report and defense.

How you learn

Learning is facilitated through laboratory work, project-based assignments, and research supervision. Students will practice building and testing AI solutions, documenting experiments, and presenting their findings.

Entry requirements

Admission is determined by academic qualifications, English proficiency, and additional selection criteria.

Academic requirements

• Minimum GPA: An average grade (CGPA) of 0.9 or higher from your Bachelor's degree, which should be at least 180 ECTS, as verified by the degree supplement.
• Degree background: A Bachelor’s degree in engineering sciences, technologies, mathematical sciences, computer sciences, or physical sciences, with a minimum of 30 credits in informatics, informatics engineering, or mathematics.

Selection components

• Motivation letter and online interview.
• Additional points: Up to 4 points as applicable in the selection process.
• Mathematics placement test: The Online Mathematics Placement Test (OMPT) is required for applicants without alternative proof, with a minimum score recommended.

English requirements

• TOEFL iBT: Minimum score of 85 (total).
• IELTS: Minimum score of 6.0 (overall band).

Required documents

• Bachelor’s degree certificate.
• Official transcript of studies.

Career prospects

Graduates of the Master's programme in Artificial Intelligence in Computer Science will be well-prepared for a variety of roles in the technology sector. Potential career paths include positions in software development, data analysis, research, and other fields that require expertise in AI and machine learning. Students will also have the skills necessary to pursue further studies or academic research in the area of artificial intelligence.