List of qualifications and positions
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Artificial Intelligence Engineer
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Artificial Intelligence Specialist
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Machine Learning Engineer
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Data Analyst
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Data Scientist
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Intelligent Systems Developer
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Computer Vision Engineer
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Natural Language Processing (NLP) Engineer
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Big Data Engineer
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Geographic Information Systems (GIS) Analyst
Field of professional activity
Graduates of the program work at the forefront of digital transformation, developing and implementing intelligent systems that solve real-world challenges in the economy, industry, and urban infrastructure.
The field of professional activity includes:
- development and implementation of artificial intelligence systems
- application of machine learning methods and big data analytics
- creation of solutions in computer vision and natural language processing
- design of intelligent systems for forecasting, automation, and process optimization
- development of neural network models and digital platforms
Special emphasis is placed on applying AI to tasks that require the analysis of complex spatio-temporal data — from urban and transport management to natural risk prediction and the development of agrotechnologies.
Graduates do not just work with data — they build systems that make decisions, predict events, and manage real-world processes.
Scope and object of professional activity
The professional field of graduates covers the development and implementation of intelligent technologies across key sectors of the economy, science, and governance.
Graduates apply AI-based solutions in the following areas:
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information technologies and digital platforms
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smart agriculture and agrotechnologies
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ecology, environmental monitoring, and emergency prevention
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urban infrastructure and Smart City
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transport, logistics, and energy
Objects of professional activity include:
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intelligent software and hardware-software systems
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machine learning algorithms and models
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neural network and expert systems
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systems for analyzing big data, images, text, and speech
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geoinformation systems and spatio-temporal models
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robotic and cyber-physical systems
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digital services and platforms utilizing AI technologies
Graduates work with systems that not only process data but also model the real world, predict events, and support decision-making at both business and government levels.
Functions of professional activity
The professional functions of graduates include the analysis and formalization of tasks, the development, modeling, and implementation of intelligent systems, the software implementation of machine learning algorithms, data processing and interpretation, as well as testing and maintenance of AI solutions in applied domains.
Types of professional activity
Graduates of the program perform the full cycle of development and implementation of AI solutions — from problem analysis to maintenance of deployed systems.
Main types of activities:
Design and Engineering
Development of intelligent system architectures, design of models and components of AI solutions tailored to specific tasks.
Development of intelligent system architectures, design of models and components of AI solutions tailored to specific tasks.
Research
Conducting research in machine learning, data analysis, and spatio-temporal models, followed by implementation of results.
Conducting research in machine learning, data analysis, and spatio-temporal models, followed by implementation of results.
Production and Technological
Implementation of AI technologies into real processes: automation, forecasting, and optimization.
Implementation of AI technologies into real processes: automation, forecasting, and optimization.
Analytical
Data analysis, pattern discovery, and building predictive models to support decision-making.
Data analysis, pattern discovery, and building predictive models to support decision-making.
Operational
Maintenance, configuration, and optimization of deployed intelligent systems.
Maintenance, configuration, and optimization of deployed intelligent systems.
Engineering and Software Development
Development of software and algorithms based on artificial intelligence methods.
Development of software and algorithms based on artificial intelligence methods.
Organizational and Managerial
Participation in AI project management, team coordination, and integration of solutions into business processes.
Participation in AI project management, team coordination, and integration of solutions into business processes.
Educational
Knowledge transfer, participation in training specialists, and consulting in the field of artificial intelligence.
Knowledge transfer, participation in training specialists, and consulting in the field of artificial intelligence.
Have skills
Graduates of the program possess practical skills in developing and implementing solutions in the field of artificial intelligence and data analysis.
Key skills:
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analysis and formalization of applied problems for further automation
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development and application of machine learning and deep learning algorithms
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programming of intelligent systems (Python and modern AI libraries)
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working with big data: collection, processing, analysis, and visualization
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development of solutions in computer vision and natural language processing
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use of geoinformation systems and spatio-temporal data
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building predictive models and decision support systems
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implementation, testing, and optimization of AI solutions in real-world tasks
Graduates are capable not only of analyzing data but also of creating functional AI systems applied in business, industry, and government projects.