Master's in Industrial Systems Analytics
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
Industrial Systems Analytics focuses on using data, analytics, and digital technologies to improve industrial processes and systems. Students study data analysis, optimization, automation, process management, predictive analytics, and intelligent systems. The program develops technical, analytical, and problem-solving skills for improving efficiency, productivity, quality, and decision-making in modern industrial environments.
Merit-based Scholarships
Finland
University: University of Vaasa
Early Bird Last Date: 2026-09-18
Scholarship Amount: €4,000
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"Gain advanced skills in statistics, AI, and programming to analyse complex data and deliver insights that drive smarter decisions."
"Develop skills in data analysis, AI, and business strategy to turn insights into decisions and drive performance across organisations."
"Build leadership skills to drive innovation, manage technology strategy, and lead digital transformation across industries."
"Develop advanced skills in project planning, construction law, and site management to lead complex building and infrastructure projects."
"Develop strategic marketing skills in branding, consumer insights, and digital communication to lead campaigns and drive business growth."
"Gain expertise in heritage conservation, curation, and museum management to preserve culture and lead cultural institutions."
"Develop solutions for circular, sustainable cities through regenerative design, urban innovation, and resource-efficient systems."
"Advance design, technical, and sustainability skills to create innovative architectural solutions for the built environment."
"Develop advanced skills in accounting, auditing, finance, and business law to prepare for professional accreditation and global practice."
"Gain advanced expertise in financial analysis, investment, markets, and risk management to drive strategic decisions in global finance."
Data Science and Analytics
Semester Trimester
2 years
6.5 with no less than 6.0
44200
N/A