Skip to main content

About Study Course

ECTS:6
Course supervisor:Aldis Ērglis
Study type:Full time
Course level:Master's
Target audience:Business Management; Information and Communication Science; Management Science
Language:English, Latvian
Study course description Full description, Full time
Branch of science:Other engineering and technologies

Objective

Learn and understand quantitative and qualitative analytics capabilities for strategic elements of an organization (value chain, business capabilities, business processes, goals, and organizational structure) using data analytics and transactional intelligence systems (BI) approaches and techniques.

Prerequisites

Knowledge of the basics of data analysis, data sources, data structures and visualisation is required. Preferable knowledge of the principles of organisation management.

Learning outcomes

Knowledge

1.At the end of the study course, students have acquired in-depth knowledge of the possibilities for explaining the activities of the organisation through data analysis and the value that such analysis can provide

Skills

1.At the end of the study course, students: - are able to identify and define analytical tasks, at individual and organisation level

Competence

1.At the end of the study course, students will: - be able to independently evaluate and create, in accordance with the business problem, the design of the data analysis application or solution

Study course planning

Planning period:Year 2026, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital Strategy and Artificial Intelligence Management1Master'sRequired
Digital Strategy and Artificial Intelligence Management 1Master'sRequired