The programme combines strong foundations in mathematics, programming and data analysis with advanced studies in Artificial Intelligence and Data Science. It offers an internationally oriented curriculum linking scientific principles with emerging technologies such as machine learning, big data and intelligent systems. Students develop analytical, computational and technical skills through both theory-based and application-focused learning.
• Artificial Intelligence & Machine Learning
• Data Science, Statistics & Big Data Technologies
• Programming, Algorithms & Software Engineering
• Intelligent Systems, Computer Vision & Natural Language Processing
• Cloud Computing & Modern Computing Infrastructures
• Geographic Information Science
• Advanced Statistics and Probability
• Advanced Databases
• Internet of Things
• Intelligent Control
• Artificial Intelligence in Engineering Applications I
• Game Theory
• Advanced Topics in Deep Learning
• Data Streaming
• Artificial Intelligence and Data Science in the Food Sector
• Machine Learning in Remote Sensing
• Cryptography
• Entrepreneurship in Artificial Intelligence & Data Science
• Artificial Intelligence for Robotics & Autonomous Systems
• Computer Graphics
• Emerging Computing Paradigms
• Artificial Intelligence in Engineering Applications II
• Artificial Intelligence for Smart Grids and Power Systems
• Examinations are conducted live at the end of each semester.
• Periodic tests and assignments may also be included depending on the course lecturer.
• Assessment methods may include written examinations, oral examinations or mixed formats.
• Assignments and projects may contribute partially or fully to the final course grade.
• Students are informed about examination procedures and grading criteria before each examination period.
• Course materials, announcements and grading information are uploaded on the university e-learning platform.
