Digital Strategy and Artificial Intelligence Management

The programme prepares modern managers to implement digital strategies within organisations and to ensure that artificial intelligence operates effectively under human leadership. It offers a broad range of practical knowledge, combining cutting-edge technological insights with essential management skills.

Study content

The programme will provide you with both the theoretical knowledge necessary to understand artificial intelligence technologies, data management principles, and project management methods, as well as practical skills in using AI and data analysis tools. It also places emphasis on developing competencies such as futures thinking, critical thinking, and presenting oneself effectively in digital environments, both in everyday contexts and in times of crisis. Throughout the course of study, guest lectures will be delivered by representatives from Latvian and international companies, as well as universities across the Baltic States and Latvia. The teaching staff of the Digital Strategies and Artificial Intelligence Management programme are predominantly practising professionals in their respective fields, ensuring that the study content reflects current industry realities and the latest technological trends. Although the study courses offer advanced technical insights, they are designed to be suitable for management-level education. The programme does not train technology developers.

1st semester

First semester courses

• Product and Service Development and Management
• Critical Thinking
• Co-creation and Design Thinking
• AI Integration and Business Transformation
• Fundamentals of Artificial Intelligence and Application in Practice
• Data Analysis and Strategy
• Statistical Programming and Data Management
• Programming basics (Python programming)
• Latvian Language Course for International Students

2nd semester

Second semester courses

• Future Thinking and Strategy
• Project Management in a Changing Environment: PRINCE2 and Agile
• Technology law
• Basics of Artificial Intelligence and Machine Learning
• Advanced Machine Learning
• Data governance

3rd semester

Third semester courses

• Business Process Analysis and Enterprise Architecture
• Digital Image, Communication and Crisis Management
• Human resources strategy
• Artificial intelligence project management
• Tools for AI and Data Science
• Data engineering
• Data visualisation and storytelling
• Practical Applications of Artificial Intelligence 

4th semester

• Master's thesis

Career opportunities after graduation

Upon successful completion of the programme, graduates will be well-prepared to pursue careers as data analysts, applied machine learning engineers, data scientists, analytics research managers, data analytics and artificial intelligence consultants, data science researchers, or other ICT professionals.

The RSU master’s programme in artificial intelligence and data analytics offers broad development opportunities and provides students with a valuable education that supports their professional growth in a rapidly evolving digital landscape. 

Admission requirements

Mandatory requirements

• A first-cycle higher education qualification (Bachelor’s degree), first-cycle professional higher education, or an equivalent qualification in one of the following fields: natural sciences, mathematics and information technology, engineering, economics, management and administration, finance and banking, insurance.
• A first-cycle university qualification (Bachelor’s degree), first-cycle professional higher education, or an equivalent qualification, along with at least two years of practical experience in business or project management.
• Entrance examination
• For studies in English: English language proficiency at a minimum of B2 level.

Documents to be submitted

Please complete the required information in the application form and attach electronic copies of the following documents:

• Passport (data page) or ID card (both sides of the eID);
• A recent photograph (for the student ID card);
• Bachelor’s or Master’s diploma (or an equivalent higher education qualification) and diploma supplement;
• Curriculum Vitae (CV);
• Motivation letter;
• Publications in peer-reviewed or other IT-related journals (if applicable);
• Proof of additional training and related activities, such as participation in courses or seminars relevant to IT education (if applicable);
• Proof of payment for the registration service;
• If any of the submitted documents contain a different surname, first name, or personal identification number than that in the passport or ID card, a supporting document confirming the change of personal data must also be attached;
• If the applicant obtained an educational qualification abroad (except in Belgium, Estonia, Lithuania, Luxembourg, or the Netherlands), a certificate from the Academic Information Centre confirming the equivalence of the foreign qualification to one awarded in Latvia must be attached.

Additional requirements

• Entrance examination: Submission of a motivation letter outlining your reasons for applying, relevant prior experience, intended professional direction after graduation, a preliminary research idea for the Master’s thesis, as well as anticipated resources and potential challenges during the study process
• Non-formal or extracurricular education, such as relevant courses or training, is considered an advantage
• Scientific publications in the field of information technology are preferred

Evaluation criteria

Admission to the programme is based on a competitive selection process. The final score is calculated as the total sum of points awarded in the following categories:

Education

• Information technology: 10 points
• Management: 8 points
• Other fields: 0 points

Professional experience

• Head of an IT company: 12 points
• Head of a company: 8 points
• Head of a structural unit: 5 points
• Head of an IT department: 8 points
• Project manager: 5 points
• IT project manager: 8 points
• Other experience: 0 points

Non-formal or extracurricular education

• IT courses and continuing education programmes (final test passed) – 4 points per certificate (maximum two in the last five years)
• IT courses and continuing education programmes (final test not passed) – 2 points per certificate (maximum two in the last five years)

• Scientific publication in the field of IT – 2 points per publication (maximum two in the last five years)
• Motivation letter – up to 4 points

In the case of an equal score, the weighted average grade of the diploma will prevail.