The aim of the MSc in IT for Business Data Analytics program is to train young professionals who will be able to fill positions as software developers/business analysts, thanks to the ability to perform various coding tasks and simultaneously interpret business information and identify the business. insights. The program will therefore be a conversion program aimed at young people looking for career advancement or a career change, and will train IT professionals with strong business foundations.
Develop soft and numerical skills, use data analysis, automation, big data and machine learning tools, ability to write, review, evaluate code with a contemporary language/technology management, conduct research and investigation on business and management issues, synthesis of data from various sources, reports and recommendations articulate, with strong research and data management skills and the ability to survey and clean large data sets, and the ability to communicate effectively using a variety of media, both written and verbal.
Practical exercises and case studies enable students to apply these techniques to real-world datasets, gaining invaluable skills in leveraging data to optimize business performance and competitiveness.
Upon successful completion of the program, students should be able to:
- Create programming codes that perform analytical tasks in a business environment;
- Management, manipulation and analysis of large data sets using contemporary technologies and tools;
- Critically discuss managerial issues related to the use of data in the decision-making process of enterprises;
- Critically evaluate the importance and feasibility of data-driven management initiatives and convincingly present the results to a wide range of stakeholders;
- Create simple machine learning models and analyze their impact on business decision-making processes;
- Critically evaluate automation opportunities in a professional context.
MODULES |
Credit numbers |
Advanced Data Analytics |
10 |
Cybersecurity and Information Assurance |
10 |
Software Engineering and Development |
10 |
Cloud Computing and Virtualization |
10 |
Advanced Business Data Analytics |
20 |
Research Methods |
10 |
Dissertation in Information Technology |
20 |
Total: |
90 |