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.

A drone view of the KTU student campus and Santaka Valley – where science, innovation, and a vibrant student culture come together in the heart of Kaunas.

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:

Innovation development

create real innovations – products or services with social partners

Pedagogy

gain a teaching qualification by choosing additional studies in education

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:

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.

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.

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

Cycle – first cycle

Field – electronics engineering

Form, duration – full-time studies (4 yr.)

Study type – day-time, on-campus

Location – Kaunas, Faculty of Electrical and Electronics Engineering

Language – english, lithuanian

Degree awarded – bachelor of engineering sciences

Yearly price ⁱ : full-time studies – 4108 €, price per credit – 68,47 €

Financial support »

Semester

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

Module name	Credits	Method of organisation

Analysis of Electric Circuits 1	6	On-campus learning
Kinematics, Statics and Dynamics of Robots	6	On-campus learning
Software for Engineering Calculations	6	On-campus learning
Theory of Probability and Statistics	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

Module name	Credits	Method of organisation

Automatic Control Theory	6	On-campus learning
Electric Drives	6	On-campus learning
Fundamentals of Intelligent Control Systems	6	On-campus learning
Image Processing and Recognition	6	On-campus learning
Intelligent Automation Systems and Devices	6	On-campus learning

Module name	Credits	Method of organisation

Control Systems and Programing of Robots	6	On-campus learning
Modelling of Robotized Systems	6	On-campus learning
Programmable Logical Controllers	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

Admissions requirements

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.

Score structure

◼	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

Portrait photo of a smiling young woman with short, tousled hair, wearing a black hoodie. She is looking at the camera against a light, neutral background.

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

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

Join an exchange programme with our international partners:

more about exchange studies

FAQ

Will there be opportunities to gain practical skills in this robotics programme?

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.

How will AI be integrated into the curriculum of the robotics degree?

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.

What kind of companies will I be able to work for after graduation?

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.