This program focuses on the principles and applications of reinforcement learning and control systems. You will explore algorithms and techniques used to enable intelligent agents to learn optimal behaviors in complex environments through trial and error. The curriculum covers theoretical foundations and practical implementation, preparing students for advanced research and development in areas like robotics, autonomous systems, and game AI.
The program structure is designed to build a strong foundation in reinforcement learning, starting with core concepts and progressing to advanced topics and practical applications.
Admission is typically based on exchange agreements (Erasmus+ or bilateral). Free mover applications are not accepted. Please check with your home university's international office regarding eligibility and agreements.
Tuition fees are subject to revision for the Autumn 2026 intake.
International students are charged 7500 EUR per semester. The total tuition for the two-year Master's program is 30000 EUR. Please note that tuition fees are subject to revision for the Autumn 2026 intake.
International students must apply through exchange agreements. First, verify if your home university has an Erasmus+ or bilateral exchange agreement with DTU. If an agreement exists, your home institution must nominate you for exchange, after which you will be guided through the DTU application process.
For exchange students, you must have completed at least the first two years of university studies at your home university and be nominated by your home institution. Free mover applications are not accepted.
Graduates are well-prepared for roles in research and development, focusing on AI, machine learning, and control systems, particularly in areas like robotics, autonomous systems, and game AI.
While there are research grants available like the Independent Research Fund Denmark - Green Research and Research on artificial intelligence in the cancer field, these are typically for research staff, not directly for Master's students' tuition or living costs. Prospective students should explore other funding avenues.