The Master's programme in Machine Learning, Data Science and Artificial Intelligence (Macadamia) at Aalto University equips students with advanced knowledge to navigate the rapidly evolving field of AI. This data-intensive major focuses on solving complex 21st-century problems, from climate change to understanding epidemics, through the application of artificial intelligence, data science, and machine learning. Graduates are prepared to formalize, apply, and interpret data-intensive solutions, implement state-of-the-art methods, and understand the theoretical and ethical foundations of the field. The programme is designed for talented students seeking a challenging study option, encouraging them to step out of their comfort zones and engage with cutting-edge research. It emphasizes active, hands-on learning through projects and practical assignments, fostering an environment where students can experiment and develop their skills independently. The curriculum is delivered by enthusiastic and internationally acclaimed professors and researchers.
The two-year Master’s Programme in Computer, Communication and Information Sciences – major Machine Learning, Data Science and Artificial Intelligence, totals 120 ECTS credits. The curriculum is structured for full-time study, with core major studies laying a strong foundation before students delve into specialised sub-areas.
Admission is based on program-specific evaluation criteria. The admission process may distinguish between different admission groups based on previous degree and background.
Tuition fees depend on your degree level, field of study, and study right start date. International joint degree programs may have separate fee structures.
The tuition fee for non-EU/EEA citizens is 17,000 euros per academic year for Master’s studies. This fee covers educational expenses and university support services.
Yes, students must finance personal study-related costs like materials, and pay mandatory annual fees for Student Union membership and healthcare services. Living expenses in Finland are also not covered by tuition fees.
The programme is two years long and designed for full-time study, totaling 120 ECTS credits.
Graduates are prepared for advanced roles in machine learning, data science, and artificial intelligence, with skills highly sought after in both industry and academia.
Applications are submitted online during the official application period, which runs from 1 December 2025 to 2 January 2026 for studies starting in 2026. You will need to provide academic transcripts, a CV, a motivation letter, and proof of English proficiency, among other documents.
Aalto University offers a limited number of merit-based scholarships in the form of tuition fee waivers, awarded to the highest-achieving applicants.