Data governance (SZF_169)
About Study Course
Objective
Students will learn to design and implement data governance programs, develop data policies, ensure data quality, and support enterprise data management. The course will highlight the strategic role of data in decision-making and innovation, preparing students for leadership in data governance. They will gain practical skills to assess, structure, and govern data in line with business goals while fostering a data-driven culture and navigating organizational and regulatory complexities.
Prerequisites
Not necessary.
Learning outcomes
1.At the end of the study course, students:
- name the basic principles of data management and governance and apply them to describe the organization's data strategy;
- identify and describe the main tasks in creating a data strategy and management systems;
- have acquired in-depth knowledge of data security policies, methods and technologies used to protect data in the organization;
- are familiar with the principles of data quality and metadata management that ensure the accuracy, completeness and compliance of data with the purposes of its use;
- have mastered data integration methods and interoperability principles to ensure efficient data flow between different systems and organizational structures;
1.At the end of the study course, students:
- are able to develop and adapt data strategies according to the needs and goals of the organization;
- are able to analyze and identify data management problems in organizations, as well as develop strategic solutions to prevent them;
- are able to propose appropriate protection mechanisms and rules to ensure the security of organizational data;
- are able to assess data quality and plan measures to maintain data accuracy, consistency and compliance with organizational requirements;
- are able to plan and coordinate data integration between different systems to ensure data compatibility and smooth flow;
- are able to effectively present the developed data management solutions and strategies, convincingly arguing for the compliance of the chosen approach with the needs of the organization;
1.At the end of the study course, students will:
- be able to plan, organize and lead data management initiatives and data strategy development in the organization;
- be able to independently identify and solve data management problems, offering solutions that ensure data security, quality and integration;
- be able to monitor and maintain data quality and metadata management, guaranteeing data compliance with organizational goals;
- be able to initiate innovations in organizational data management, promoting efficient use of resources and adaptation to the changing data environment;
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Digital Strategy and Artificial Intelligence Management | 2 | Master's | Required | ||
| Digital Strategy and Artificial Intelligence Management | 2 | Master's | Required |
