Business Strategic Management in the Era of AI and Big Data

Wyższa Szkoła Zarządzania i Bankowości - Akademia Nauk Stosowanych w Krakowie działa nieprzerwanie od 1995 roku, łącząc akademicką wiedzę z praktyką. Uczelnia kształci na kierunkach: Informatyka, Informatyka stosowana, Zarządzanie, Finanse i rachunkowość, Logistyka, Marketing cyfrowy, Przedsiębiorczość cyfrowa oraz Komunikacja i psychologia w biznesie. Programy studiów są projektowane z myślą o potrzebach współczesnej gospodarki i współpracy z otoczeniem biznesowym. W ofercie znajdują się także studia podyplomowe oraz kursy rozwijające kompetencje zawodowe. Uczelnia stawia na rozwój praktycznych umiejętności, przedsiębiorczości, innowacyjności oraz kompetencji cenionych na rynku pracy.

Learning Outcomes

The micro-credential confirms that the learner possesses in-depth knowledge, practical skills, and social competencies in the field of strategic organizational management based on data and artificial intelligence solutions.

An individual with this micro-credential:

• understands the concept of data-driven and AI-driven strategies, including the importance of data in the strategic decision-making process,
• has knowledge of various types of analyses used in management—from descriptive and diagnostic to predictive, prescriptive, and generative—and understands the application of tools such as the AI Canvas and evidence-based management approaches,
• is familiar with the principles of the AI model lifecycle within MLOps, including deployment processes, model monitoring, and risk and change management in organizations undergoing digital transformation,
• can select appropriate analytical methods for business problems and apply an evidence-based approach in management, including conducting A/B tests and interpreting their results,
• is capable of utilizing elements of generative artificial intelligence in strategic projects and identifying key stages of the AI model lifecycle, assessing their effectiveness and potential risks,
• demonstrates awareness of the significance of data and artificial intelligence in modern management and understands the leader's role in the digital transformation process of an organization,
• can collaborate in interdisciplinary teams that combine business, analytical, and technological competencies, and shows responsibility in making data-driven decisions.

Estimated Workload

4 ECTS credits

Level (referenced to the Polish Qualifications Framework / European Qualifications Framework – EQF)

PRK7 / EQF7

Assessment Method(s)

The micro-credential was awarded based on the completion of a course, where the assessment was based on project work and participation during classes. The final grade was the average of the results obtained throughout the course. The verification of learning outcomes included evaluating the ability to apply knowledge in practice, the accuracy of selecting analytical methods, and the capability to use artificial intelligence tools in decision-making and strategic processes.

Mode of Delivery

The micro-credential confirms the completion of 100 hours of practical classes and independent student work. The classes were conducted in the form of a practical seminar, which included project development, the use of analytical tools, and programming elements to support data analysis and the implementation of AI solutions. The educational process was focused on developing strategic competencies in the area of data-driven and technology-based management.

Quality Assurance Arrangements Underpinning the Micro-credential

The issuance of a micro-credential is based on a coherent matrix of effects (knowledge, skills, and social competencies) – content – assessments, their verification, and agreed-upon teaching methods, in accordance with the course syllabus (practical profile) and under the supervision of the course coordinator. Ensuring the quality of education involves clear criteria and passing thresholds, systematic evaluation of results, and periodic updates of content and methods based on conclusions from assessments and feedback from internal and external stakeholders.