This Master's degree program focuses on equipping professionals with advanced skills in data expertise and artificial intelligence. It aims to help you understand and leverage the growing importance of data and AI in transforming industries and organizations. You will learn to identify data needs, explore utilization opportunities, and develop proficiency in data analysis, visualization, and AI methods. The program is designed for individuals seeking to excel in specialist and development roles where data and AI are central, or where these technologies are expected to drive future innovation. No prior ICT knowledge is required.
This program prepares you for specialist and development roles in various industries where data and AI are becoming increasingly important. Graduates will be equipped to drive innovation and manage data-centric projects.
Applicants who have completed their higher education degree in Australia, Canada, the European Union or EEA, New Zealand, Switzerland, United Kingdom, or the United States are exempt from providing an English language proficiency certificate. A list of accepted language tests is available in the general application instructions.
Tuition fees apply to non-EU/EEA citizens.
Master's degree (UAS)
Applicants need a Bachelor's degree in Engineering, Business Administration, or a relevant field. Additionally, two years (24 months) of documented work experience post-Bachelor's degree is required.
The tuition fee for non-EU/EEA citizens is 12,000 € per academic year. EU/EEA citizens are exempt from tuition fees.
The program duration is 1 to 1.5 years, resulting in 60 to 90 ECTS credits, depending on your previous Bachelor's degree.
The application period is from January 7 to January 21, 2027, closing at 15:00 UTC+2 Finnish time. All supporting documents must be uploaded by January 28, 2027.
Yes, TAMK Scholarships are available for non-EU/EEA students. These are tuition waivers, and further details on how to apply and eligibility are on the university's scholarship page.
Graduates are prepared for specialist and development roles such as Data Specialist, AI Specialist, Data Analyst, and Business Developer in various industries utilizing data and AI.