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About Study Course

ECTS:3
Course supervisor:Aldis Ērglis
Study type:Full time
Course level:Master's
Target audience:Business Management; Management Science
Language:English, Latvian
Study course description Full description, Full time
Branch of science:Electrical engineering, Electronic engineering, Information engineering

Objective

Learn and understand quantitative and qualitative analysis options for strategic elements of the organization (value chain, business capabilities, business processes, goals and organizational structure) using data analysis and business intelligence (BI) techniques.

Prerequisites

Prior knowledge of data analysis fundamentals, data sources, data structures, and visualization is required. Prior knowledge of organization management principles is desirable.

Learning outcomes

Knowledge

1.Able to make recommendations and interpretations about the ability to explain an organization’s activities through data analysis and the value that such an analysis can provide.

Skills

1.Able to create a solution design for analytical tasks.

Competence

1.Will be able to independently evaluate and create, according to the business problem, the design of the data analysis application or solution.

Study course planning

Planning period:Year 2025, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital Strategy and Artificial Intelligence Management 1Master'sRequiredAldis Ērglis
Digital Strategy and Artificial Intelligence Management1Master'sRequiredAldis Ērglis