Master's in Artificial Intelligence and Data Engineering
University of Vaasa
Technology
International Excellence Scholarship
N/A
Contact the university
14000
Semester
6.5
N/A
2
Wolffintie 32, 65200 Vaasa, Finland, Finland
Artificial Intelligence and Data Engineering focuses on AI technologies, data management, machine learning, and intelligent systems. Students learn data processing, database systems, machine learning, data analytics, cloud technologies, and AI applications. The program develops technical, analytical, and problem-solving skills for careers in artificial intelligence, data engineering, data science, and technology.
Merit-based Scholarships
Finland
University: University of Vaasa
Early Bird Last Date: 2026-09-18
Scholarship Amount: €4,000
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Gain global expertise in health economics, policy, and management to lead reforms, improve systems, and drive innovation in healthcare."
Gain essential accounting knowledge and practical skills in finance, auditing, and reporting to advance your career in business and accounting.
Build practical finance skills in investment, risk, and markets to enhance decision-making and advance your career in business and finance.
Combine science and law to tackle complex issues in technology, health, and environment, preparing for diverse professional careers.
Gain advanced scientific knowledge and research skills, preparing for leadership roles, innovation, and postgraduate study in STEM."
Explore a wide range of scientific fields, build analytical and research skills, and prepare for diverse careers in STEM and innovation.
Deepen your knowledge of mind and behavior with advanced research training, preparing for postgraduate study and psychology careers.
Explore mind behavior, and mental health while gaining research communication and analytical skills for psychology-focused careers."
Study human behavior cognition and mental health while developing research and analytical skills for psychology and related careers.
Combine mathematics and science to build strong analytical problem-solving and research skills for diverse STEM careers worldwide.
Faculty of Business, Management, Economics and Law
Semester Trimester
2 years
6.5 with no less then 6
42045
N/A