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Intelligent Robotics Systems

The future is here
Robots are no longer just something you see in the movies. They work, transport, clean and even learn. Studying robotics will enable you to become the creators of tomorrow, able to design, programme and train robots that can be used in the home, in space or industry. The Intelligent Robotics Systems programme equips you with knowledge of computer vision, the Internet of Things, electromechanical processes and the control of complex machines. You’ll practise in state-of-the-art laboratories of multinational companies where theory becomes reality. The future has already begun – be part of it!

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Programme values

Students and lecturers collaborate in an engineering lab where real-world solutions are created – from mechanical systems to cutting-edge research. This is the essence of hands-on learning at KTU, driven by innovation and impact.
Valued by industry leaders

The programme is designed to meet the needs of the rapidly evolving roboticisation of industry and is based on the latest industrial developments. The knowledge, which is in line with today’s trends, is appreciated not only by the students but also by industry leaders, who are waiting for the graduates of these studies to join their teams.

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Inspiring learning environment

Lectures will be given not only by university lecturers but also by industry experts from companies such as ABB, Omron and Elinta Robotics, who will share their practical experience. You will be able to develop your practical knowledge at the Rockwell Automation Training Centre, Robotics and other labs.

Students prepare to launch a drone – part of aeronautics and engineering studies rooted in hands-on learning with real-world applications. KTU’s engineering programs embrace cutting-edge technologies.
Real-world cases

You will design and build object models, run simulations with robotic digital twins and real robots, and develop your own robot prototypes. All of this will take place in laboratories recognised by international companies.

A student raises his hand during discussion – KTU encourages active participation, critical thinking, and self-driven decision-making. Flexible study paths allow each learner to shape their own academic journey.
New Freedom to shape your path

You can choose between several subjects to suit your needs and career goals. During your studies, you can gain an additional teaching qualification.

In this study programme, you can choose the following study paths:

Career opportunities

Program robots and make them think.
In Intelligent Robotics Systems, you’ll learn how to manage robots, program them to work alone or in a system and get them to help humans with complex and dangerous tasks. Working in advanced research and study labs, with real robots and hardware, you will hone your knowledge and skills – preparing you for the challenges of modern robotics and helping you to become the robot control specialist of the future.

Here are some of the careers you can pursue after your studies:

Icon of a microchip circuit – ideal for careers in electronics engineering, embedded systems, and semiconductor technology.
Robotics Engineer

Ensures the efficient and safe operation and deployment of robots or their systems in companies’ production systems. Responsible for production that meets global standards and requirements.

Monitor showing a system path diagram – reflects digitalisation of complex systems, strategic planning, and digital transformation.
Robotics and Robotic Systems Designer

Designs innovative robotic systems to meet today’s industrial challenges. Designs robots for a wide range of applications and is involved in the robotisation of new production processes in companies.

Bracketed code icon – showcasing abilities and skills in IT, coding, programming, backend development, software engineering and working with AI (artificial intelligence) systems.
Robotic Systems Programmer

Integrates computer vision and IoT techniques into robot control systems, programming communications for successful collaboration and communication between robots and other systems.

Admission requirements and programme structure

An arrow icon pointing right – represents the study level (Bachelor, Master, or PhD) in a structured academic path.
Cyclefirst cycle
A document icon refers to the field of study – such as engineering, technology, business, and more.
Field – electronics engineering
A clock icon indicates the form and duration of the programme.
Form, duration full-time studies (4 yr.)
A calendar icon indicates the mode of study – full-time, remote, or blended learning.
Study typeday-time, on-campus
A speech bubble icon represents the language of instruction – often English for international, top-rated study programmes.
Language – english, lithuanian
A graduation cap icon represents the degree awarded upon completion – bachelor’s, master’s, or doctoral qualification from a top university in Lithuania.
Degree awarded – bachelor of engineering sciences
An icon with the euro symbol shows the annual tuition fee – clearly presenting the cost of investing in quality education.
Yearly price i : full-time studies – 4108 €, price per credit – 68,47 €
Module name Credits Method of organisation
Classical Physics 6 On-campus learning
Engineering Graphics 3 On-campus learning
Ethics of Artificial Intelligence 3 Blended learning
Introduction to Control Technologies 6 On-campus learning
Introduction to Programming for Engineers 6 On-campus learning
Mathematics 1 6 On-campus learning
Module name Credits Method of organisation
Computer Drawing 3 On-campus learning
Engineering Materials 3 On-campus learning
Engineering Mechanics 6 On-campus learning
Mathematics 2 6 On-campus learning
Physics 2 6 On-campus learning

Foreign Language Electives (Level C1) 2025 (Select 6 cr.)

Academic and Technical Communication in English (Level C1) 6 On-campus learning
Academic and Technical Communication in French (Level C1) 6 On-campus learning
Academic and Technical Communication in German (Level C1) 6 On-campus learning

Electives of Philosophy and Sustainable Development 2025 (Select 6 cr.)

Media Philosophy 6 Blended learning
Sustainable Development 6 Blended learning
Module name Credits Method of organisation
Analysis of Electric Circuits 2 6 On-campus learning
Applied Electronics 6 On-campus learning
Electromechanics 6 On-campus learning
Engineering Economics 6 On-campus learning
Fundamentals of Microprocessor Systems 6 On-campus learning

Group of Electives (Select 12 cr.)

Electives of Entrepreneurship Education 2025 6
Optional Subjects 2025 6
Product Development Project 12 On-campus learning
Module name Credits Method of organisation
Analysis and Reliability of Technical Systems 3 On-campus learning
Computational Intelligence Methods 6 On-campus learning
Mobile Robots 6 On-campus learning
Project of Robotic System 6 On-campus learning
Speech Processing Fundamentals 6 On-campus learning
Work Safety 3 On-campus learning
Module name Credits Method of organisation
Bachelor’s Degree Final Project 15 On-campus learning
Professional Internship 15 On-campus learning
Good to know
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Blended – learning on the university premises and online.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Blended – learning on the university premises and online.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
  • Module – a part of a study programme consisting of several related topics.
  • Credit – a unit of the volume of a study module in hours.
  • On-campus – learning on the university premises.
What will you learn
  • To solve engineering problems using engineering graphics
  • To understand and evaluate the laws of physics
  • To assess the ethics of IoT and robotics
  • To evaluate the mechanical performance and durability of different structures
  • To draw two- and three-dimensional models using computer tools
  • To analyse DC and AC circuits
  • To build a dynamic model of the robot
  • To understand the basic principles of building a mathematical model of a statistical experiment
  • To analyse equivalent circuits and operating modes of electromechanical power devices and apply them in practice
  • To design ARM-based embedded systems
  • To evaluate automated control systems
  • To operate electric motors
  • To analyse and program states in automation systems
  • To model robot behaviour in virtual environments
  • To program the robots' movements, communications and other means of connection
  • To perform language analysis, recognition, identification, and verification
  • To design a robotic system and evaluate its cost-effectiveness
  • To develop computer programmes based on numerical intelligence
  • To critically evaluate and analyse production processes
  • To identify the problems and the need for robotics
Proficiency in English IELTS ≥ 5.5, TOEFL ≥ 75, CEFR ≥ B2, or equivalent.
Eligibility criteria: High school certificate.Maximum 3 years after high school graduation.

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

Transcript requirements: Obtain a suitable transcript from your school.

If unavailable, provide official translations and verified copies of the original documents.

Accepted languages: English / Russian.
Document legislation: 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 to the EU and Belarus, Ukraine documents.

0,4 final exam mathematics
0,4 final exam chemistry or physics, or biology, or information technologies, or geography
0,2 final exam English language
admission procedure preparatory courses

Testimonials

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This study programme prepares tomorrow’s professionals who can adapt to rapidly changing and advancing technologies. Throughout their studies, students are guided by inspiring lecturers who help them to discover and develop their interests and knowledge in their field of interest, so that they can take part in a variety of robotics projects. The Erasmus+ international exchange programme offered by KTU gives students the opportunity to develop their competencies not only in Europe but also abroad.

Ema Stonytė
4th year student
A minimalist icon depicting a human silhouette with a heart symbol – this icon represents KTU alumni representatives or community members with a strong connection to the university.

Intelligent Robotics Systems introduces technology, design, mechanics, electronics and programming. During my studies, I learned how to program controllers, work with sensors and build prototypes. KTU also provides access to advanced laboratories and their equipment, allowing students to experiment with the latest technologies.

Andrius Barynas
Software Engineer, Robotex
Portrait photo of an older man with a full beard, wearing white shirt. He is looking at the camera with a serious expression, against a neutral grey background.

In my opinion, KTU is one of the strongest technical universities in Lithuania, educating specialists with a solid foundation in robotics, artificial intelligence and automation. KTU students are often practical, innovative, creative, entrepreneurial and technologically advanced. I can say that because we have had a number of students who have done their internships with us, and some of them have continued their careers with our company.

Linas Žukauskas
Business Manager for the Baltic Countries, ABB Robotics & Discrete Automation

International mobility partners

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FAQ

Yes, you will gain practical skills by working in laboratories with real technical equipment, collaborating with industry specialists and carrying out real projects. There is the possibility of additional placements in industrial companies.

The curriculum covers AI methods and their application in robotics and other fields. Students use various AI tools and algorithms, implement them in practical projects, build robots and develop their intelligence.

After graduating with a degree in Intelligent Robotics Systems, you will be able to work in a variety of manufacturing companies that use and implement robots and automated processes, as well as in design companies or companies that sell robots and automation equipment.

 

Contacts

Contact photo of Silvia Petniūnaitė wearing a black blazer representing KTU study info specialists consulting international students.

International Studies Office
Student Info Center
Studentų St. 50, LT-51368 Kaunas
email international@ktu.lt

let's talk

Faculty of Electrical and Electronics Engineering
IX Chamber
Studentų St. 48, LT-51367 Kaunas
email eef@ktu.lt

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