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€8,500.00/year
1190 PointsDuration
1 Year, 6 Months
Language
English
Program Description
The master in Business Intelligence and Data Analytics (MSc) is designed to equip students with the necessary knowledge and a diverse set of skills required throughout the data analytics lifecycle. It is a unique and innovative-by-design postgraduate degree that combines both managerial and technical aspects of the data science field.
The curriculum is designed to transform the participants into data scientists and equip them with the knowledge and skillset required to contribute and compete in the rapidly advancing data-driven economy.
Students joining the University of Limassol, become part of the UoL family, where they can expect to receive personal attention and enjoy a friendly, supportive, and welcoming environment. Receiving personal attention right from the very beginning makes you feel at home away from home.
The University of Limassol grants several competitive scholarships based on academic criteria and subsidized tuition fees on socioeconomic criteria.
The program is nationally accredited by CYQAA and recognized by KYSATS.
The curriculum is designed to transform the participants into data scientists and equip them with the knowledge and skillset required to contribute and compete in the rapidly advancing data-driven economy.
Students joining the University of Limassol, become part of the UoL family, where they can expect to receive personal attention and enjoy a friendly, supportive, and welcoming environment. Receiving personal attention right from the very beginning makes you feel at home away from home.
The University of Limassol grants several competitive scholarships based on academic criteria and subsidized tuition fees on socioeconomic criteria.
The program is nationally accredited by CYQAA and recognized by KYSATS.
Entry Requirements
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Tracks
- Operations & Project Management
- Technical Entrepreneurship & Innovation
- Financial Services
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Learning Outcomes
- Data-Driven Expertise: Grasp the significance of big data in strategic decision-making.
- IT Foundations: Comprehend core IT concepts, including databases, systems, and cloud computing.
- Analytical Application: Employ data mining and machine learning to tackle business challenges.
- Analytics Skill-set: Master the data analytics pipeline from collection to interpretation.
- Strategic Communication: Convey analytic insights and security risks to decision-makers effectively.
- Professional Leadership: Exhibit initiative and collaborative skills within professional teams.
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