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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Combines machine learning, big data and analytics with practical research projects to solve real-world industry and organisational problems.”
“Develops expertise in data mining, machine learning, statistics, big data analytics, programming and decision-making for real-world solutions.”
“Focuses on project planning, cost control, contracts, sustainability, site management and leadership in the construction industry.”
“Combines engineering, medical technology, biomechanics, biomaterials and innovation to develop solutions for healthcare and clinical practice.”
“Covers machine learning, neural networks, data intelligence, automation, AI ethics and real-world applications across industries.”
“Explores high-performance materials, polymer science, manufacturing, nanocomposites, and innovation for aerospace, automotive and engineering sectors.”
“Introduces core IT concepts in programming, systems, networking and databases, providing a pathway into tech roles or further study.”
“Provides foundational skills in programming, networking, databases and IT systems for career entry or pathway to advanced study.”
“Covers financial reporting, auditing, taxation, management accounting, ethics and business law for professional accounting careers.”
“Develops strategic leadership, finance, marketing, operations and decision-making skills for managerial and executive business roles.”
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Semester Semester
1 year
59(with no section less than 59)
24246
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