Master in Embedded AI & Edge Intelligence

The MSc Embedded AI & Edge Intelligence program is designed for students eager to explore the integration of artificial intelligence into edge devices. This one-year master's program, taught entirely in English, is ideal for those who thrive in innovative environments and seek to push the boundaries of AI technology. Students will gain hands-on experience in developing AI solutions that operate directly on devices, ensuring rapid responses and enhanced data protection.

Throughout the program, students will engage in practical projects that focus on designing and deploying lightweight AI models on edge hardware. The curriculum emphasizes the optimization of AI at the hardware level, enabling students to maximize performance and efficiency. By the end of the program, graduates will be equipped with the skills to translate complex AI concepts into actionable insights for product managers and regulatory bodies.

Graduates of the MSc Embedded AI & Edge Intelligence can pursue various roles, including Embedded AI Engineer, AIoT Developer, Edge Computing Engineer, Software Engineer for IoT, and Mobile AI Developer. These positions are in high demand across industries such as technology, telecommunications, and smart device manufacturing. The skills acquired in this program are transferable, allowing graduates to adapt to various career paths in the rapidly evolving tech landscape.