

Delft University of Technology (TU Delft) offers the Master of Science in Data Science and Artificial Intelligence Technology as a two-year, full-time on-campus program focused on advanced data analytics, machine learning, and intelligent system development. The program combines computer science, mathematics, and engineering principles to prepare students for solving complex technological and societal challenges through data-driven approaches. Students gain practical and theoretical expertise in artificial intelligence, big data processing, predictive modeling, and intelligent automation systems.
Graduates are well-prepared for careers in data science, artificial intelligence engineering, and machine learning development, working in technology companies, research institutions, and innovation-driven industries worldwide. The program provides strong analytical, computational, and problem-solving skills, enabling students to contribute to the future of intelligent technologies and digital transformation.
Semester 1 – Foundations in Data Science and AI
Semester 2 – Advanced Data Science and AI
Semester 3 – Applied AI and Data Science
Semester 4 – Master’s Thesis & Final Project
Graduates of the Data Science and Artificial Intelligence Technology Master’s program can pursue roles in software development, machine learning, data analysis, and artificial intelligence. With expertise in data modeling, machine learning algorithms, and AI technologies, they can work as data scientists, AI engineers, machine learning specialists, and data analysts. The growing field of AI and big data creates excellent career opportunities in technology, finance, healthcare, and e-commerce.
The Data Science and Artificial Intelligence Technology program focuses on the practical applications of data science and AI to solve real-world challenges. Students gain expertise in data analysis, machine learning, and AI development, preparing them to tackle complex problems in various sectors. The program’s strong emphasis on both theory and practical skills ensures that graduates are ready for impactful careers in data-driven industries.
For further information, please contact the admissions office at:
Phone: +31 (0)15 278 8012
Email: contactcentre-esa@tudelft.nl
Address: Delft University of Technology (TU Delft), Education & Student Affairs (ESA), Mekelweg 5, 2628 CD Delft, Netherlands