The "Intelligent Systems and Technologies" Master's Program represents the level of Advanced AI Architecture & Engineering. The Master's program transforms you from a developer into an AI Strategist—an architect who designs complex cognitive services capable of self-adaptation and deep analytics. Your scope of activity will encompass Large Language Models (LLMs), Federated Learning systems for privacy protection, and complex analytical platforms that manage market behavior in real time.
The goal of study is to form a Chief Data Officer (CDO) or Lead AI Engineer capable of heading R&D departments and implementing breakthrough solutions in areas ranging from FinTech to autonomous systems. We will teach you the mathematical foundation of deep learning models, transformer architecture, Graph Neural Networks (GNNs), and the ethical aspects of AI. This is the convergence point of Data Science and Software Architecture. You will learn to build scalable MLOps pipelines, converting raw data into corporate intellectual capital.
Your Master's superpower: You will develop Cognitive Architectural Vision and Advanced Predictive Modeling—the ability to design systems that not only react to events but anticipate them with mathematical precision. Your professional Master's arsenal will include:
- LLM & Generative AI Systems: developing and fine-tuning models for content generation, coding, and intelligent search.
- MLOps & Cloud AI: building infrastructure for continuous learning and deployment of models in AWS/Azure/Google clouds.
- Explainable AI (XAI): creating transparent models whose decision logic can be understood and verified by humans.
- Reinforcement Learning for Robotics: developing decision-making algorithms for complex autonomous agents in dynamic environments.
Our Master's graduates are Senior ML Engineers at FAANG, heads of data analytics departments at leading global banks, AI-based cybersecurity systems architects, and founders of DeepTech startups attracting millions in investment.
Objects of professional activity for Master's graduates include designing intelligent systems architecture, scientific substantiation of machine learning method selection, AI model lifecycle management, and strategic planning for artificial intelligence technology implementation.
Field of Study: F Information Technologies
Specialty: F3 Computer Science
Educational and Professional Program: Intelligent Systems and Technologies
Accreditation Certificate: The program was introduced in 2025.
Faculty: Faculty of Intelligent Control Systems
Graduating Department: Department of Mathematical Modeling and Artificial Intelligence (304)