MSc. in Business Analytics

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Course ID
BAN
Cycles
2 Years years
Credits
120
Semesters
4

The Master of Science in Business Analytics aims to prepare professionals capable of analyzing and interpreting data, applying statistical methods and machine learning techniques, and supporting strategic decision-making across different organizations and industries.

The rapid development of digital technologies has significantly increased the volume and complexity of data generated by organizations. Sectors such as finance, healthcare, retail, manufacturing, logistics, and public administration increasingly rely on data to improve performance, foster innovation, and make evidence-based decisions. In this context, the program seeks to develop the analytical, technological, and managerial competencies required to transform complex data into valuable insights and practical business solutions.

The curriculum combines rigorous training in quantitative and computational methods with knowledge of business management, organizational behavior, and strategic decision-making. Students develop proficiency in programming, statistical analysis, machine learning, big data technologies, and data visualization, alongside the managerial and communication skills needed to translate analytical findings into organizational actions and strategies. Delivered over four semesters, the program concludes with a professional internship and a Master’s thesis, enabling students to integrate theoretical knowledge with practical application and demonstrate their ability to address real-world business challenges.


 

Graduates of the MSc in Business Analytics can pursue a wide range of career opportunities across industries, including finance, banking, healthcare, retail, manufacturing, logistics, consulting, and public administration. By combining analytical, technological, and managerial skills, graduates are prepared to transform data into actionable insights, support strategic decision-making, and improve organizational performance.

Potential career paths include:

  • Business Analyst 
  • Data Analyst 
  • Business Intelligence Analyst 
  • Data Scientist 
  • Financial Analyst 
  • Marketing Analytics Specialist 
  • Operations Analyst 
  • Risk Analyst 
  • Management Consultant 
  • Analytics Manager 

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Study Program Curriculum

Year I
Year 2

Semester 1

No. Subject Code Subject Course Type Language Course Group Lecture Seminar Laboratory Practice Individual Work Credit ECTS
1 BAN 401 Managerial and Organizational Behavior Mandatory English - - - - - - - 6
2 BAN 403 Managerial Economics Mandatory English - - - - - - - 6
3 BAN 405 Research Methods Mandatory English - - - - - - - 6
4 BAN 407 Data Privacy, Policy and Regulations Mandatory English - - - - - - - 6
5 BAN 409 Business Analytics Fundamentals Mandatory English - - - - - - - 6

Semester 2

No. Subject Code Subject Course Type Language Course Group Lecture Seminar Laboratory Practice Individual Work Credit ECTS
1 BAN 402 Data Visualization and Analysis Mandatory English - - - - - - - 6
2 BAN 404 Programming for Business Analytics Mandatory English - - - - - - - 6
3 BAN 406 Statistics and Data Analysis Mandatory English - - - - - - - 6
4 BAN 408 Management Information Systems Mandatory English - - - - - - - 6
5 BAN 410 Financial Analytics Mandatory English - - -- - - - - 6

Semester 1

No. Subject Code Subject Course Type Language Course Group Lecture Seminar Laboratory Practice Individual Work Credit ECTS
1 BAN 501 Big Data Management and Processing Mandatory English - - - - - - - 6
2 BAN 503 Advanced Analytics and Machine Learning Mandatory English - - - - - - - 6
3 BAN 505 Data-Driven Decision Making Mandatory English - - - - - - - 6
4 BAN 507 Accounting Analytics Mandatory English - - - - - - - 6
5 BAN 511 Leadership Elective English - - - - - - - 6
6 BAN 513 Innovation & Entrepreneurship Elective English - - - - - - - 6
7 BAN 515 HRM Elective English - - - - - - - 6
8 BAN 517 Operations Management Elective English - - - - - - - 6

Semester 2

No. Subject Code Subject Course Type Language Course Group Lecture Seminar Laboratory Practice Individual Work Credit ECTS
1 BAN 502 Internship Mandatory English - - - - - - 3 6
2 BAN 599 Diploma Thesis Mandatory English - - - - - - - 6