Skip to main content

About Study Course

ECTS:6
Course supervisor:Māris Ancāns
Study type:Full time
Course level:Master's
Target audience:Business Management; Health Management; Information and Communication Science; Management Science; Medical Technologies
Language:English
Study course description Full description, Full time
Branch of science:Business Management; Economics and Business; Electrical engineering, Electronic engineering, Information engineering; Other Sub-Branches of Electrical Engineering, Electronics, Information and Communication Technology

Objective

The goal of the course is to prepare students for the effective planning and management of AI projects across various industries. The course will provide theoretical knowledge of AI technologies and project management principles, as well as practical experience through collaboration with companies. Students will develop skills in teamwork, resource management, and problem-solving necessary for successful AI project execution. Upon completing the course, students will be ready to apply their acquired knowledge and lead AI projects in real business scenarios.

Prerequisites

Previous experience in data processing and programming is preferred. Knowledge of artificial intelligence or machine learning fundamentals is preferred but not required.

Learning outcomes

Knowledge

1.Identify and describe lifecycle stages of AI and machine learning (AI/ML) projects from formulating a problem to implementing a model.

Skills

1.Model scoring and monitoring: interpret, monitor, evaluate model performance and abnormality mitigation.

Competence

1.Develop data and AI strategies consistent with the organisation’s long-term objectives.

Study course planning

Planning period:Year 2026, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Digital Strategy and Artificial Intelligence Management 3Master'sRequired