The second-cycle programme in Business Analytics is designed to prepare highly qualified specialists capable of analysing and interpreting complex business data and making data-driven decisions across various sectors of the economy. Graduates will be equipped with advanced knowledge, analytical skills, and ethical competencies that will enable them to support organisations in achieving their strategic objectives.

What will you study in the programme?

Core Specialisation Courses

These courses provide students with advanced knowledge in the area of data analysis in a business environment, with a strong emphasis on both technology and its practical application.

The curriculum includes mathematical subjects that offer a theoretical foundation independent of specific technologies (e.g., Discrete Mathematics, Advanced Mathematics, Time Series Analysis), as well as laboratory-based courses focused on practical skills. These include programming in R—a language and environment for statistical computing and data visualisation—and the use of Business Intelligence tools, both commercial and open-source.

Common Courses Across Management Science Programmes

These courses aim to provide essential knowledge in Management, Entrepreneurship, and Law. Examples include:

• Social and Leadership Skills

• Sustainable Development Management

• Marketing Management

• Market Trends and Business Practice I, II, III

• Business Ethics

• Market Research and Analysis

• Information Technologies in Business

• Regulations in the Digital Economy

• Organisational Culture and Intercultural Management

This module places particular emphasis on developing students’ social and entrepreneurial competencies.

Elective Specialisation Courses

A diverse range of elective courses allows students to tailor their academic path according to their interests and career goals, as well as labour market needs.

The course offerings include both theoretical and practical content. Students will have the opportunity to work with various technologies for data analysis (e.g., Python Programming I and II), explore the use of Artificial Intelligence in business analytics, and apply biofeedback, conduct experiments, and analyse data gathered from sensors.

Two foundational courses—Descriptive Statistics and Statistical Methods—are also offered for students who lack structured statistical knowledge, ensuring a strong foundation for further studies in business analytics.

Graduates of this programme will be qualified to work in a wide range of sectors, including:
◦ industrial and service enterprises,
◦ central government administration,
◦ local government administration,
◦ non-profit organisations.

Holders of a second-cycle degree in this field are well prepared for positions requiring specialised qualifications. They possess comprehensive knowledge in data analysis, programming, and management, which enables them to work effectively in both business and administrative environments. Their broad skill set ensures smooth adaptation to the expectations of diverse employers, including international corporations.

Graduates may pursue specialised roles in financial and supervisory institutions, particularly in data analysis and risk management. They are also well equipped to work as advisors or consultants in both the public and private sectors, in research and development departments, or as entrepreneurs operating domestically or internationally.

Potential job titles include:
– Data Analyst
– Reporting Specialist
– Data Engineer
– Business Intelligence Specialist (e.g. team leader, coordinator, consultant)

·  The graduate has in-depth knowledge of statistical and econometric methods used in the field of social sciences;

·  The graduate possesses knowledge of tools used for data analysis and results presentation;

·  The graduate is familiar with terminology used in the business environment in the context of statistical analysis;

·  The graduate knows the principles of formulating research problems and conducting quantitative research;

·  The graduate knows the principles of presenting and communicating the results of analyses;

·  The graduate has general knowledge of information technology;

·  The graduate possesses basic knowledge of higher mathematics (mathematical analysis, algebra, probability calculus).

·  The graduate can apply appropriate analytical methods to existing data;

·  The graduate is able to design and conduct scientific research based on methodological standards;

·  The graduate can use mathematical tools in the context of analysis;

·  The graduate is able to use both free and commercial statistical packages and specialized applications;

·  The graduate demonstrates flexibility in using IT tools;

·  The graduate is able to draw critical conclusions and make decisions based on various sources;

·  The graduate can communicate research results to diverse audiences;

·  The graduate demonstrates self-critical evaluation of their own skills;

·  The graduate identifies gaps in their knowledge, is aware of the need to improve their skills, and can plan the enhancement of their qualifications.

·  The graduate is ready to act ethically and socially responsibly;

·  The graduate is willing to engage in the functioning of an organization.