Vilnius College of Design

Artificial Intelligence

Programming

Create and apply AI solutions powered by data, machine learning, and large language models.

Duration
3 years
Language
English
Admission
Open for February 2027 and September 2027 intake
Artificial Intelligence specialisation

The Artificial Intelligence specialisation is oriented towards the creation and application of advanced data-driven solutions across various sectors. During studies, students gain practical skills working with machine learning methods, neural networks, and natural language processing solutions. Great emphasis is placed on integrating artificial intelligence into real systems and processes, applying programming, analytics, and cloud solutions. The specialisation prepares specialists who can work both in creating AI solutions and in deploying and maintaining them in organisations.

Programme description

State code

6531BX010

Study field

B03 Software Systems

Qualification awarded

Professional Bachelor of Computing

Study mode and duration

Full-time, 3 years

Study volume in credits

180

Study plans

Full-time studies

Programme Leader

Mantas Sviklas
Mantas Sviklas

Mantas Sviklas is a specialist in technology implementation, process thinking and applied artificial intelligence. He approaches AI not as a stand-alone tool, but as a new layer of how organisations create value. His experience with IT teams, Agile environments, digital transformation and automation projects allows the AI programme to be grounded in real implementation logic: from problem framing and value hypotheses to prototyping, integration and responsible use.

In the Artificial Intelligence programme, the focus is not on isolated tools, but on understanding where AI can create meaningful value. Students explore the logic of generative AI, data-driven solutions, automated workflows and human-AI interaction, while learning to evaluate reliability, risk, ethical implications and the impact of AI on products and organisations.

Under Mantas’s leadership, the AI direction develops specialists who combine technological curiosity with critical thinking. This is a programme for students who want not only to use AI, but to understand its limits and possibilities and turn AI solutions into tangible value for people, teams and business.

About the Programme

1 General Smart Technology Industry Bachelor programme subjects

Programming fundamentals, data structures and algorithms, databases, computer networks, operating systems, project management, professional ethics, interdisciplinary collaboration, and final thesis.

2 Artificial Intelligence specialisation subjects

AI modules cover machine learning, deep learning, natural language processing, computer vision, data visualisation, cloud computing, AI ethics and regulation, and AI project management. Students learn to create and deploy advanced AI solutions — from data preparation to model deployment in production.

Artificial Intelligence is a specialization within the Smart Technology Industry study programme. Admission is carried out directly at Vilnius College of Design. Applicants must have completed secondary education (high-school diploma).

What is the minimum GPA/academic requirement?
Each application is evaluated individually. In general, a minimum GPA of 3.5 (or equivalent strong academic result) is recommended.

What is the minimum English language requirement?
Each application is evaluated individually. In general, applicants are expected to demonstrate a sufficient level of English to successfully study in an English-taught programme.

As a guideline, we recommend a minimum score of IELTS Academic 5.5, TOEFL iBT 3.5 (approximately 51+ on the previous 0–120 TOEFL scale), or an equivalent English language qualification.
Accepted certificates:

  • IELTS Academic
  • TOEFL iBT
  • Pearson PTE Academic
  • Cambridge English: B2 First (FCE)
  • Cambridge English: C1 Advanced (CAE)
  • Cambridge English: C2 Proficiency (CPE)
  • Duolingo English Test (DET)
  • Trinity College London – ISE II (B2) / ISE III (C1) / ISE IV (C2)
  • LanguageCert Academic

Applicants may also be considered based on other evidence of strong English language proficiency and their academic background.

Required document list

  1. Secondary school diploma / previous education certificate
  2. Academic transcripts
  3. Copy of passport or ID
  4. Proof of English language proficiency (B2 level — IELTS, TOEFL, PTE, Duolingo, or equivalent)
  5. Copy of application fee payment (120 eur)

    More information: https://www.vcd.lt/en/admission

Full-time studies – EUR 5,500 per year.

Graduates of the Artificial Intelligence specialization can work as artificial intelligence developers, machine learning specialists, data analysis specialists, and AI solutions developers. They can also create and apply machine learning, neural network, and natural language processing solutions in various organizations.

Curriculum

Semester 1Year 1
Programming Fundamentals and Databases10 ECTS
Object-Oriented Programming10 ECTS
Computer and Communication Systems Architecture10 ECTS
Semester 2Year 1
Programming Fundamentals with Python10 ECTS
Python and REST10 ECTS
OpenAI Tools10 ECTS
Semester 3Year 2
Professional Practice I10 ECTS
Applications of Large Language Models10 ECTS
Cloud AI Tools and Applications10 ECTS
Semester 4Year 2
Fundamentals of Client-Side Programming5 ECTS
Professional Practice II20 ECTS
Applied Project / Term Paper5 ECTS
Semester 5Year 3
Fundamentals of Server-Side Programming10 ECTS
Advanced Database Management Systems5 ECTS
Cloud Computing Technologies5 ECTS
IT Project Management and Professional Ethics (in English) (Compulsory Module)5 ECTS
Evolution of Computer Science (Programme Elective Module – from a Defined List)5 ECTS
Fundamentals of Organizational Management (Programme Elective Module – from a Defined List)5 ECTS
Economic Management of IT Projects (Programme Elective Module – from a Defined List)5 ECTS
Semester 6Year 3
Methods and Tools for Applied Research in Computer Science10 ECTS
Final Thesis10 ECTS
Final Professional Practice10 ECTS