Demonstrate understanding the value of (Big) data, the probabilistic nature of data-driven decision making and the challenges involved in using data analytics to improve business decisions, as well as the ethical and social responsibilities linked to their application.
Identify the basic concepts that underpin today’s organizational IT infrastructures like concepts of databases, information systems, operations and processes, cloud computing, data warehousing and enterprise resource planning.
Demonstrate understanding of information security concepts, challenges, including ethical dilemmas associated and techniques to mitigate them.
B. Intellectual Skills
Integrate concepts and theories behind data mining/analytics (statistical and machine-learning) in order to solve real-world business problems.
Assess the applicability of business intelligence and data analytics techniques used to collect, process, analyze, and interpret data in different contexts.
Develop skills related to data analytics pipeline from collection, processing, analysis and interpretation.
C. Practical Skills
Apply data analytics concepts, theories and techniques to enhance the decision making capabilities.
Develop critical thinking skills by conducting research in the areas of data analytics/mining and business intelligence.
D. Key Transferable Skills
Effectively communicate to top management the results and implications arising from data analytics, security risk assessments, and emerging technologies.
Demonstrate professionalism and leadership by taking initiatives within their domain of responsibility while working effectively with other team members.
Demonstrate the ability to engage in lifelong learning and professional development.
Prepared to take reasonable risks in decision making and treat failures as learning opportunities.
“Data is characterised as the oil of the 21st century and the MSc in Business Intelligence and Data Analytics equips the students with all necessary knowledge and diverse skillset to compete in the newly formed digital economy”
Dr. Theodosis Mourouzis
Director of MSc in Business Intelligence& Data Analytics