The path into AI depends on the role you want to pursue. Developing AI systems requires knowledge of programming, mathematics, machine learning, and data analysis. For those who plan to use AI in their existing profession — for example, in marketing, media, design, finance, or business management — earning a new degree is not always necessary. In many cases, it is enough to master the right tools and learn how to apply them effectively at work.
There are many ways to study AI in Latvia, including universities, colleges, intensive courses, and state-supported programmes. The main admission period for educational institutions takes place during the summer, although application deadlines may vary depending on the programme.
After Grade 9: The First Step into IT
After completing basic education, students can choose programmes in programming, IT, electronics, or automation. These programmes provide fundamental technical skills that can later be developed further in AI, data analysis, and digital technologies.
Education at state vocational schools is free of charge. However, admission to some programmes may involve a competitive selection process or additional entrance examinations.
RĪGAS VALSTS TEHNIKUMS (RVT)
Programme: Programming.
Students learn programming, algorithms, and databases — providing a foundation for further work with Python, automation, data analysis, and modern AI tools.
Who it is for: Students who want to start building a career in programming after Grade 9.
RĪGAS METĀLAPSTRĀDES PROFESIONĀLĀ VIDUSSKOLA (RMPV)
Programme: Programming Technician (Programmēšanas tehniķis).
The programme focuses on practical software development, modern technologies, and automation. AI is introduced as one of the tools used by modern software developers.
Who it is for: Those who want to gain practical IT skills and enter the profession quickly.
After Grade 12: Higher Education
For those who want to pursue a professional career in AI development, machine learning, or data analysis, higher education in Computer Science, programming, or Data Science remains the most reliable path.
You do not necessarily need to look for a programme called Artificial Intelligence. Most specialists begin by studying programming, algorithms, and mathematics, and later specialise in machine learning, intelligent systems, or data science.
RIGA TECHNICAL UNIVERSITY (RTU)
Programmes in computer science, programming, data analysis, and intelligent systems provide a strong foundation for further specialisation in machine learning and AI.
Programme: Datorsistēmas (Computer Systems)
Tuition fee: €3,990 per year for fee-paying students. State-funded places are also available, including in Riga, Liepāja, and Rēzekne.
Who it is for: Future developers, engineers, and data specialists.
The main admission period for bachelor’s programmes takes place in summer. Application deadlines vary depending on the programme.
UNIVERSITY OF LATVIA (LU)
One of the more specialised options for those interested in AI and data analytics. The programmes focus on the practical application of artificial intelligence technologies and working with data.
Programme: Datorzinātnes (Computer Science)
Tuition fee: €3,300 per year for students from Latvia/EU and €3,900 per year for students from other countries.
Who it is for: Those looking for applied education in AI and Data Science, including programmes taught in English.
TRANSPORT AND TELECOMMUNICATION INSTITUTE (TSI)
One of the more specialised options for those interested in AI and data analytics. The programmes focus on the practical application of artificial intelligence technologies and working with data.
Programme: Datorzinātnes (Computer Science)
Tuition fee: €3,300 per year for students from Latvia/EU and €3,900 per year for students from other countries.
Who it is for: Those looking for applied education in AI and Data Science, including programmes taught in English.
The choice of university largely depends on which approach suits you best. RTU traditionally focuses on engineering and applied education, LU on fundamental computer science, mathematics, and research, while TSI offers more practice-oriented programmes combining IT, data analytics, and technology.
For some programmes, admissions remain open beyond the main summer application period at public universities, while certain courses may start not only in autumn but also in winter.
Colleges: A Faster Route into the Profession
Colleges and short-cycle higher education programmes make it possible to gain practical technical training within 2–3 years and enter the labour market more quickly.
This is not a direct path to becoming an AI engineer, but rather a foundation for further specialisation in programming, algorithms, data, and digital systems.
RĪGAS TEHNISKĀ KOLEDŽA
Programmes: Programming, computer network administration, and electronics.
The programmes provide practical skills in programming, data, and digital systems, which can serve as a foundation for further development in Data Science, automation, and AI.
Tuition fee: €1,280 per year. State-funded places are also available.
Who it is for: Those who want to gain a practical technical qualification and continue their education later.
VENTSPILS UNIVERSITY OF APPLIED SCIENCES
Programme: Programming.
The programme focuses on practical training for programmers and covers software development, databases, and modern IT technologies. This foundation enables students to further develop their skills in AI, automation, data analysis, and machine learning.
Tuition fee: €3,000 per year. State-funded places are also available.
Who it is for: Those who want to gain a practical qualification in programming and enter the labour market more quickly.
An up-to-date list of short-cycle higher education IT programmes in Latvia.
For Adults: No New Degree Required
You do not need to earn another university degree to develop AI skills. Intensive courses, bootcamps, professional training programmes, and state-supported learning opportunities can provide a faster route.
RIGA CODING SCHOOL AND TECHNOLOGY BOOTCAMPS
Programmes: Python, Data Science, data analytics, and programming.
Short intensive programmes at Riga Coding School provide practical skills in working with data, automation, and AI. It is also worth following Accenture’s technology bootcamps, as available programmes and admission opportunities change regularly.
Some programmes may offer opportunities for further internships or employment with the company.
Tuition fee: Riga Coding School — €900. Accenture bootcamps — free of charge, subject to specific admission requirements and conditions.
Who it is for: Those who want to change careers or quickly gain new tech skills.
RIGA TECHGIRLS: YOU CAN START FROM SCRATCH
Programmes: Digital skills, AI, data, and modern technology tools.
The programmes are designed for people with different levels of experience, including those without a technical background who want to gain new skills or explore opportunities in the tech sector.
Tuition fee: Some training programmes are available free of charge.
Who it is for: Beginners and anyone who wants to explore the tech sector, regardless of age or previous professional background.
STARS: STATE-SUPPORTED LEARNING
The state-run STARS platform brings together hundreds of educational programmes offered by universities, colleges, and other training providers.
The platform regularly features courses in programming, digital technologies, data analysis, and the use of AI tools across various professions — from marketing and logistics to management and accounting. This makes it possible to develop specific skills without earning a new degree.
Tuition fee: State financial support may cover up to 100% of the training costs.
Who it is for: Working adults who want to improve their qualifications, learn to use AI in their profession, or change career direction.
