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About Study Course

ECTS:3
Course supervisor:Līga Ozoliņa
Study type:Full time
Course level:Master's
Target audience:Business Management; Information and Communication Science; Management Science
Language:Latvian
Study course description Full description, Full time
Branch of science:Economics and Business

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

Basic understanding of data analysis and statistical concepts - the ability to interpret analytical results, draw well-founded conclusions, and make data-driven decisions.Basic understanding of business processes and project management - knowledge of how companies organize and manage operations, as well as familiarity with project management methodologies (e.g., Agile), ensuring that data and IT project initiatives align with real business needs.Basic knowledge of databases and data modeling - an understanding of how databases (e.g., SQL) are applied and the significance of data models in organizing information.Basic knowledge of IT security - the ability to grasp key security principles, identify risks, and understand data protection (e.g., GDPR compliance).Basic understanding of the business environment - the skill to view technical solutions within the context of value creation and to evaluate how data initiatives can support strategic goals and improve cost-benefit outcomes.

Learning outcomes

Knowledge

1.Name the basic principles of data management and governance and apply them to describe the organization's data strategy;

Skills

1.Able to develop and adapt data strategies according to the needs and goals of the organization;

Competence

1.Able to plan and organize data management initiatives, as well as participate in the development of the organization's data strategy;

Study course planning

Planning period:Year 2026, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital Strategy and Artificial Intelligence Management 2Master'sRequiredEdgars Indriksons
Digital Strategy and Artificial Intelligence Management2Master'sRequiredEdgars Indriksons