Informatics

The art of building the digital world
Computer science is the key to the digital world, where programming codes, three-dimensional models and cloud technologies converge. You’ll discover how to combine real-world processes with information models, learn about mobile networks, web solutions and multimedia development. A degree in Informatics develops professionals who can not only innovate but also be at the forefront of today’s technological revolution.

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Programme values

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.

Valued by industry leaders

The Informatics study programme has been awarded the Investors’ Spotlight Quality Label by the Investors’ Forum Association and the Invest Lithuania Agency. The programme has been recognised for its excellent relevance to market needs and professionally developed study content.

KTU’s Santaka Valley building – a state-of-the-art research and innovation hub where academia and business collaborate. This is where future solutions are born.

Inspiring learning environment

For computationally intensive research, you will be able to use the infrastructure provided by the University, such as the High-Performance Computing System. You will also have access to state-of-the-art independent learning and collaborative workspaces.

Students from KTU’s GIFTed program tackle real-world challenges using the mind map method – this is a space for high-potential youth to collaborate, think creatively, and lead with purpose.

Real-world cases

Students work with social partners and experienced researchers in teams from different fields of study to develop products from conception to implementation. Case studies, simulations of real situations, inquiry-based learning and other innovative learning methods are used in the studies.

Students studying using computers – a flexible academic environment that supports remote learning and self-paced study. KTU accommodates diverse learning styles.

New Freedom to shape your path

The field of informatics is very broad, so you can choose between two specialisations or create a tailor-made combination of study modules.

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

Deeper competence

specialise in your chosen field by selecting a set of study modules

Innovation development

create real innovations – products or services with social partners

Interdisciplinary competence

select a set of study modules from a different field to your main studies

Pedagogy

gain a teaching qualification by choosing additional studies in education

Career opportunities

Learn how to implement modern and artificial intelligence-based simulation models of the behaviour of physical systems.
Your career could involve designing networked or multimedia services, mobile or wireless online systems using AI and IT security principles, or developing computer games and their engines.

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

Software Developer

Solves technical problems and is responsible for developing, testing, and supporting software, such as mobile applications and games.

Computer Systems Analyst

Analyses and evaluates computer systems, develops technical requirements and ensures effective implementation of solutions.

Digital Twinning Engineer

Creates and manages virtual models representing physical objects, analyses data, makes predictions and improves product performance.

Admission requirements and programme structure

Cycle – first cycle

Field – informatics

Specialisations – internet informatics, multimedia systems

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

Study type – day-time, on-campus

Location – Kaunas, Faculty of Informatics

Language – english, lithuanian

Degree awarded – bachelor of computing

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

Financial support »

Semester

Module name	Credits	Method of organisation

Computer Graphics	6	On-campus learning
Introduction to Studies of Informatics	9	On-campus learning
Mathematics 1	6	On-campus learning
Object-Oriented Programming 1	9	On-campus learning

Module name	Credits	Method of organisation

Mathematics 2	6	On-campus learning
Object-Oriented Programming 2	6	On-campus learning
Physics 1	6	On-campus learning
The First Principles of Digital Logic	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

Academic and Technical Communication in English (Level C1)	6	On-campus learning
Computer Architecture	6	On-campus learning
Data Structures	6	On-campus learning
Discrete Structures	6	On-campus learning
Theory of Probability and Statistics	6	On-campus learning

Module name	Credits	Method of organisation

Databases	6	On-campus learning
Design and Analysis of Computer Algorithms	6	On-campus learning
Operating Systems	6	On-campus learning
System Simulation	6	On-campus learning
Software Engineering	6	On-campus learning

Module name	Credits	Method of organisation

Computer Networks and Internet Technologies	6	On-campus learning
Concurrent Programming	6	On-campus learning
Fundamentals of Information Systems	6	On-campus learning
Numerical Methods and Algorithms	6	Blended learning

Competence Electives (Select 6 cr.)

Subjects of Specializations

Internet Informatics

On-campus learning

Multimedia Systems

On-campus learning

Competence Subjects of BA+

Accounting and Business Analytics

On-campus learning

Application of Electronics Technology

On-campus learning

Applications of Machine Learning Methods

On-campus learning

Basics of Educational Sciences

Distance learning

Business and Management

On-campus learning

Cryptographic Technologies

On-campus learning

Data Analytics

On-campus learning

Design

On-campus learning

Finacial and Insurance Mathematics

On-campus learning

Financial Literacy

On-campus learning

Foreign Language (French)

French Language (level A1)	6	On-campus learning
French Language (level A2)	6	On-campus learning
French Language (level B1)	6	On-campus learning

Foreign Language (German)

German Language (level A1)	6	On-campus learning
German Language (level A2)	6	On-campus learning
German Language (level B1)	6	On-campus learning

Foreign Language (Russian)

Russian Language (level A1)	6	On-campus learning
Russian Language (level A2)	6	On-campus learning
Russian Language (level B1)	6	On-campus learning

Foreign Language (Spanish)

Spanish Language (level A1)	6	On-campus learning
Spanish Language (level A2)	6	On-campus learning
Spanish Language (level B1)	6	On-campus learning

Game and Virtual Reality Technologies

On-campus learning

Integrated Circuit Design Technologies

On-campus learning

Neuroscience

Blended learning

Programming of Databases

On-campus learning

Programming Services in Cloud Computing

On-campus learning

Public Governance

Blended learning

Translation

On-campus learning

Optional Subjects 2025

Module name	Credits	Method of organisation

On-campus learning

Electives (Select 6 cr.)

Introduction to Artificial Intelligence	6	On-campus learning
Optimization Methods	6	On-campus learning

Competence Electives (Select 12 cr.)

Subjects of Specializations

Internet Informatics

Cloud Storage Technologies	6	On-campus learning
Programming Services in Cloud Computing	6	On-campus learning

Multimedia Systems

Graphics Programming	6	On-campus learning
Interactive Web Technology	6	On-campus learning

Competence Subjects of BA+

Accounting and Business Analytics

On-campus learning

Application of Electronics Technology

Introduction to Practical Electronics	3	On-campus learning
Modern Electronic Technology	3	On-campus learning

Applications of Machine Learning Methods

On-campus learning

Basics of Educational Sciences

Fundamentals of Andragogy	6	On-campus learning
General and Special Pedagogy	6	Distance learning

Business and Management

On-campus learning

Cryptographic Technologies

On-campus learning

Data Analytics

On-campus learning

Design

On-campus learning

Finacial and Insurance Mathematics

On-campus learning

Financial Literacy

On-campus learning

Foreign Language (French)

French Language (level A2)	6	On-campus learning
French Language (level B1)	6	On-campus learning
French Language (level B2)	6	On-campus learning

Foreign Language (German)

German Language (level A2)	6	On-campus learning
German Language (level B1)	6	On-campus learning
German Language (level B2)	6	On-campus learning

Foreign Language (Russian)

Russian Language (level A2)	6	On-campus learning
Russian Language (level B1)	6	On-campus learning
Russian Language (level B2)	6	On-campus learning

Foreign Language (Spanish)

Spanish Language (level A2)	6	On-campus learning
Spanish Language (level B1)	6	On-campus learning
Spanish Language (level B2)	6	On-campus learning

Game and Virtual Reality Technologies

On-campus learning

Integrated Circuit Design Technologies

On-campus learning

Neuroscience

Blended learning

Programming of Databases

On-campus learning

Programming Services in Cloud Computing

On-campus learning

Public Governance

Blended learning

Translation

Interpreting Laboratory	6	On-campus learning
Translation Technologies and Artificial Intelligence	6	On-campus learning

Optional Subjects 2025

Module name	Credits	Method of organisation

Development and Deployment of Network Based Services	6	On-campus learning
Mobile Internet Systems	6	On-campus learning

Optional Subjects 2025

Competence Electives (Select 12 cr.)

Subjects of Specializations

Internet Informatics

Computer Network and Internet Security	6	On-campus learning
Scripting Languages	6	On-campus learning

Multimedia Systems

Physically Based Animation	6	On-campus learning
Virtual Reality Technologies	6	On-campus learning

Competence Subjects of BA+

Accounting and Business Analytics

On-campus learning

Application of Electronics Technology

On-campus learning

Applications of Machine Learning Methods

On-campus learning

Basics of Educational Sciences

Coaching	3	Distance learning
Didactics	3	Distance learning
Practice of Curriculum Planning and Its Realization	3	Distance learning

Business and Management

On-campus learning

Cryptographic Technologies

On-campus learning

Data Analytics

On-campus learning

Design

On-campus learning

Finacial and Insurance Mathematics

On-campus learning

Financial Literacy

On-campus learning

Foreign Language (French)

French Language (level B1)	6	On-campus learning
French Language (level B2)	6	On-campus learning
French Language (level C1)	6	On-campus learning

Foreign Language (German)

German Language (level B1)	6	On-campus learning
German Language (level B2)	6	On-campus learning
German Language (Level C1)	6	On-campus learning

Foreign Language (Russian)

Russian Language (level B1)	6	On-campus learning
Russian Language (level B2)	6	On-campus learning
Russian Language (Level C1)	6	On-campus learning

Foreign Language (Spanish)

Spanish Language (level B1)	6	On-campus learning
Spanish Language (level B2)	6	On-campus learning
Spanish Language (level C1)	6	On-campus learning

Game and Virtual Reality Technologies

On-campus learning

Integrated Circuit Design Technologies

On-campus learning

Neuroscience

On-campus learning

Programming of Databases

Debugging of Information Systems Software	3	On-campus learning
Distributed Databases	3	On-campus learning

Programming Services in Cloud Computing

On-campus learning

Public Governance

Blended learning

Translation

Analysis and Translation of Technical Text 4 (English)	6	On-campus learning
Language Ecology	6	On-campus learning

Optional Subjects 2025

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.

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.
Blended – learning on the university premises and online.
Distance – almost all learning 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.
Blended – learning on the university premises and online.
Distance – almost all learning 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.
Blended – learning on the university premises and online.
Distance – almost all learning 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.

learning outcomes

What will you learn

To plan your studies and career
To apply object-oriented programming principles and mathematical methods
To create computer graphics

To develop object-oriented applications using mathematical methods, digital logic and critical thinking

To apply discrete, data structures, probability theory and statistics
To communicate in a foreign language
To understand computer architecture

To build and evaluate algorithms
To model systems and design software
To manage databases and understand operating systems

To design information systems and computer networks
To create parallel programmes
To apply computational mathematics techniques

To work as part of a cross-functional team
To develop products from concept to implementation

To manage mobile and wireless internet devices
To manage distributed information systems running on the network

To prepare the final bachelor's degree project, consolidate the knowledge and practical skills gained during the professional internship

learning outcomes

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

0,5	entry exam	mathematics
0,3	final exam	information technologies or physics, or biology, or chemistry, or geography
0,2	final exam	English language

admission procedure preparatory courses

Testimonials

Portrait photo of a young woman with long dark brown hair, wearing a black blazer, delicate earrings, and a thin necklace. She is looking at the camera with a slight smile, against a neutral light grey background.

Computer science is one of the world’s most promising fields, offering a wide range of career paths, from software development to data analysis and the games industry. At KTU, students gain practical experience by working on real projects and collaborating with companies.

Emilija Jakuškaitė

2nd year student

During my studies, I spent one semester in Austria through the Erasmus+ international exchange programme. It was a great experience, that allowed me to go out of my comfort zone. However, I appreciated my study programme the most while studying at KTU – the courses here are designed to help students learn, not just to test their ability to pass exams. The final grade consists of a semester assignment grade and an exam grade. This has not only reduced stress but also encouraged continuous engagement with the material.

Eylül Güleryüz Zeynep

KTU alumnus, AI Analyst, Kesko Senukai Lithuania

Portrait photo of a young man with short hair, wearing dark checkered long-sleeved shirt. He is standing with his arms crossed and looking at the camera against a neutral gray background.

KTU students are provided with perfect conditions for practical skills training – smart laboratories, M-Lab interdisciplinary prototyping laboratory centre, the ability to join working research groups. Graduates of the Software Systems study programme have strong practical skills. The university works closely with business, which encourages students to further develop and expand their competencies and, when the time comes, to start their careers.

Lukas Janėnas

Head of IoT academy, Teltonika Networks

International mobility partners

Join an exchange programme with our international partners:

more about exchange studies

FAQ

Do these studies focus on theoretical or practical training?

Computer science studies do not focus on one type of training. While studying Informatics, students acquire both theoretical knowledge and practical skills.

Do I need to buy any special equipment for my studies?

No, you don’t need to buy any extra equipment for your studies. As a student, all you’ll need is a standard computer, powerful enough to attend lectures and do your homework. For everything else, you can rely on the equipment provided by the university.

What specialisations are available for Informatics students?

When you study Informatics, you can choose between two specialisations – Internet Informatics or Multimedia Systems. However, if you value flexibility and want even more creative freedom, you can choose one of the Flexible Learning Paths instead: Innovation Development, Interdisciplinary Competence or Pedagogy. You’ll have the opportunity to tailor your studies to your interests and future goals, allowing you to deepen your knowledge in the area that really excites you.

Why should I choose to study Informatics at KTU?

Choosing to study Informatics at KTU means receiving a high quality education designed to prepare students for a successful career in IT. The curriculum is carefully structured to ensure that students develop both the theoretical knowledge and practical skills required for programming, internet technologies and wider IT fields. KTU stands out for its strong academic foundation, modern infrastructure tailored for the development of artificial intelligence, and an engaging learning environment where students can interact with experienced lecturers, like-minded peers and industry professionals.