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Artificial Intelligence

The aim of this study programme is to prepare highly competent information technology specialists, who can develop intelligent software systems applying machine learning, image recognition, data processing and data analysis algorithms.

The Artificial Intelligence study programme is for those future professionals who are willing to apply most recent currently developing technologies, who are interested in developing AI based solutions. This study programme will provide learners not only with the skills and knowledge on how to apply AI algorithms; its graduates will also possess deep fundamental understanding of AI algorithms, which will enable them to determine algorithms efficiency, to develop hybrid AI models using image and language processing and machine learning, as well as choosing appropriate architectural parameters for systems aimed at implementing intelligent solutions.

Applicants can apply for 300 EUR / month from “Teltonika”. scholarship.

Description of Study Programme
Location Kaunas
Faculty of Informatics
Cycle First cycle
Field Informatics
Language Lithuanian, English
Form Full-time studies - 4 y. (day-time; on-campus)
Degree awarded Bachelor of Computing
Yearly Price  i Full-time studies - 3524 €
 

Entry requirements

Minimum requirements

IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent

High school certificate

Maximum 3 years after high school graduation is eligible.

Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

The entry qualification documents are accepted in the following languages: English / Russian.

The documents must be legalised (Apostille) by the Ministry of Foreign Affairs of the country where the documents were issued. This requirement does not apply for the documents issued in the EU and Belarus, Ukraine.

IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent

High school certificate

Minimum average grade (CGPA) > 60 % in each entry subject.

 

Score structure

Subject Coefficient Type
First subject

Mathematics

0,5

Entry exam (online)

Second subject

Information Technologies or Physics

or Biology or Chemistry or Geography

0,3

Final exam

Third subject

English language

0,2

IELTS, TOEFL, CEFR or equivalent

 

Tuition fee

The tuition fee applied for the academic year 2022-2023 is indicated below:

Full-time studies 3524 €
Price per credit 58,73 €
 
Foreign nationals with Lithuanian origins and EU citizens
Full-time studies 3524 €
Price per credit 58,73 €
Partial tuition fee waiver can be applied for the study price.

 

Financial support

 

 

 

 

 

Subjects of the study programme by semesters

Skills

Excellent knowledge of programming technologies, artificial intelligence algorithms, practical skills in creating artificial intelligence solutions.
Upon graduation, students are able to apply the practical skills of programming, algorithms and systems implementation to realize cost-effective and human-assisted intelligent systems that solve real-world problems and create a sustainable artificial intelligence ecosystem.

 

 

Values

Studies

During the first year of studying, students deepen their knowledge in programming technologies, designing and analyzing algorithms, fundamentals of software engineering, designing and modelling IT systems. That is, students get knowledge which is necessary for IT specialist of any field and increase their general competences as a developer of software systems and designer of solutions in informatics. Since the second year, students study topics on artificial intelligence, such as data processing and analysis, image processing and analysis, machine learning algorithms, deep learning. They also learn to design and develop AI-based solutions and systems.

Skills

Excellent knowledge of programming technologies, artificial intelligence algorithms, practical skills in creating artificial intelligence solutions.

Upon graduation, students are able to apply the practical skills of programming, algorithms and systems implementation to realize cost-effective and human-assisted intelligent systems that solve real-world problems and create a sustainable artificial intelligence ecosystem.

Career

When developing IT solutions, companies are increasingly faced with tasks that require knowledge and competencies in the field of artificial intelligence: image recognition, object classification, process structure identification, process optimization, exception analysis and more. Currently, there is a particular shortage of people who are professionals in application development and at the same time are able to understand the potential of artificial intelligence and use it to create the final IT product. According to the statistics of the World Economic Forum, the demand for such specialists in the labor market is currently particularly high and will only increase in the future. The salaries of such employees remain among the highest in both Lithuania and Europe.

Colleagues

This program enrolls students who demonstrate high academic performance and are particularly fond of mathematics and programming. Good motivation leads to a creative and results-oriented environment that helps to perfectly absorb the necessary knowledge and skills.

Practice

While studying, students have opportunity to gain practical experience in leading Lithuanian and foreign companies which implement solutions in software engineering, information technology and artificial intelligence fields.

Product and service development

Are you interested in creating real products and services while studying? It is now possible to test yourself by getting involved in a product development project (PDP). During the project, you will work in teams, collaborating with KTU researchers and social partners. While solving current, relevant problems you will improve your teamwork, project management, and problem-solving skills, deepen professional knowledge and expand your career opportunities.

 

Career

A graduate can work as:

  • AI Solutions Architect;
  • AI Analyst;
  • Intelligence Systems Developer;
  • IT Systems Developer;
  • Developer of Assistance Systems;
  • Intelligence Systems Maintainer.

 

 

 

Lecturers. Experts in their field

Tadas Danielius

Tadas Danielius

Senior Data Scientist at Euromonitor International
Agnė Paulauskaitė-Tarasevičienė

Agnė Paulauskaitė-Tarasevičienė

Head of KTU Artificial Intelligence Centre, Associate Professor at KTU Faculty of Informatics. Research directions: Intelligent decision making systems, image processing and analysis
Evaldas Vaičiukynas

Evaldas Vaičiukynas

Professor at KTU Faculty of Informatics. Research directions: Medical images processing, text syntax and semantics analysis
krisciunas

Andrius Kriščiūnas

Associate Professor at KTU Faculty of Informatics, Senior Software Engineer. Reserach directions: Multidisciplinary models, optimization, image processing and analysis