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workspace_premiumMaster's Degree

“ARTIFICIAL INTELLIGENCE”

Master of Computer Science (Artificial Intelligence Systems).

Specialty: F3 Computer Science.

75Licensed seats

102,000 / 153,000 UAHTuition fee (annual/total)

1 y. 4 m.Duration of study

🎯 Goal

Our program is a unique opportunity to master artificial intelligence technologies and turn knowledge into practice. You will gain not just theory, but real skills in developing AI solutions in machine learning, NLP, CV, Big Data, and much more.

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Specializations and Study Tracks

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ARTIFICIAL INTELLIGENCE SYSTEMS

Semester #1 (General)

The first semester is general for all students, focusing on the competencies of a technical architect, leader, and R&D engineer. Introduction to AI in the context of innovation and Proof of Concept (PoC) development.

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4 Core Learning Blocks

Research & English

Scientific terminology, innovation research, bridging the gap between research and commercialization, design thinking.

Engineering Management

Development of technical leader competencies and management of engineering practices.

Systems Architecture

Formation of technical architect skills, system design, and AI software solutions.

AI Modeling

Overview of innovative AI technologies, study of stages and methodologies of creating AI models.

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MULTIMODAL TECHNOLOGIES

Semester #2.1 (Specialization)

Focuses on the development of multimodal technologies — systems that simultaneously process multiple data types (text, video, sound).

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4 Core Learning Blocks

Ethics & Law in AI

Study of ethical models, standards, and legal aspects of artificial intelligence application.

Multimodal AI

Application of multimodal AI for finance, healthcare, automotive industry, etc.

Deep Learning

Modeling and tools for deep learning.

Computer Vision & Audio

Creating solutions based on computer vision and sound processing.

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DATA ANALYTICS

Semester #2.2 (Specialization)

Focuses on data analytics using artificial intelligence to solve complex technological problems.

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4 Core Learning Blocks

Research Project

Organized time for researching and solving a problem in a chosen domain.

Data Mining

Development of competencies in data mining and deep data analytics across various domains.

Machine Learning

Use of machine learning (ML) algorithms in processing and analyzing large volumes of data.

Text Analysis (NLP)

Intelligent text analysis using AI (Natural Language Processing).

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STRATEGY AND LEADERSHIP

Semester #2.2 (Specialization)

Focuses on forming leadership competencies and strategic management of technological changes in the AI era.

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4 Core Learning Blocks

Strategic Management

Business strategy analysis through data; forming an AI implementation roadmap (AI Transformation Roadmap).

Leadership in the AI Era

Formation of leadership competencies, building AI-culture in teams.

Ethical Implementation

Legal aspects, ethical standards, and innovation management.

Predictive Strategies

Analysis of preventive risk management models (predictive analytics, XAI, and AI governance).

Unique advantages of the developed program

Innovation Educational Platform

An innovative educational platform for modern learning.

Course base for self-study

Access to a vast amount of materials for individual study.

Theoretical & practical Technical Leadership disciplines

A combination of leadership and technical expertise in courses.

POC → Prototype → MVP: Building AI Solutions

Step-by-step development of AI solutions from concept to MVP.

Continuous course updates

Courses are regularly updated according to modern trends.

Business and academic trips

Participation in trips to exchange experience in a real environment.

International certifications

Confirmation of knowledge and skills with international standards.

Double degree program

Opportunity to receive a diploma from several partner institutions.

These opportunities help build a quality career, gain practical knowledge, international recognition, and experience in a real business environment.

Admission 2026

State-funded places: 50

Min. competitive score for state funding (2025): 163.40

Minimum scores and coefficients

Foreign language, TZNK, EFVV

Required Documents

description1 copy of NMT (EVI, EFVV) certificate and info card;

description1 copy of previous degree document with supplement;

description2 copies of identity document (ID card + extract);

descriptionCopy of Tax ID (RNKPP);

description2 copies of military registration document;

descriptionDocuments confirming benefits (if applicable);

description2 color photos 3x4 cm.

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“The Artificial Intelligence Systems Department is a powerful educational and scientific hub that creates a unique environment for developing talent in AI and IT. It actively implements innovative learning models, combining academic training with practical interaction with the IT industry.”

Nataliia Melnykova

Head of the AI Systems Department

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“Artificial intelligence is a trend that, according to global analytical companies, will become commonplace in everyday life by 2050. Our graduates receive fundamental knowledge that they know how to apply in practice.”

Nataliia Shakhovska

Rector, Curator of the AI program

Our Environment

Career Opportunities

You will be able to build a career in one of the technical or management directions — from Software Engineer to Engineering Manager or Solutions Architect.

starAssociate Technical Architect

starTechnical Architect

starSolutions Architect

starAI – Associate R&D Engineer

starAI – R&D Engineer

starAI – Expert R&D Engineer

starAssociate Technical Lead

starTechnical Lead

starSenior Technical Lead

starEngineering Manager

starSoftware Engineer

starSenior Software Engineer