Objective of educational program

Training of highly qualified specialists capable of conducting fundamental and applied research in the field of artificial intelligence, developing innovative solutions, and implementing advanced machine learning and data analytics technologies to solve complex problems in various fields of science and industry.

List of a specialist’s positions

• Researcher in the field of artificial intelligence in institutes and laboratories;
• Researcher in the academic sphere;
• R&D; researcher in technology companies;
• Artificial intelligence engineer;
• Machine learning and data processing algorithms specialist in technology companies;
• AI architect for industry, healthcare, transportation, and finance tasks;
• Big data specialist and software designer in the field of artificial intelligence;
• Engineer for the development of autonomous robots and robotic systems using AI (in industry or for the creation of unmanned systems);
• Developer of AI-based products and startups;
• Сomputer vision and image/video analysis systems specialist;
• Natural language processing specialist;
• Сonsultant on the application and development of artificial intelligence and machine learning systems;

Learning outcomes

• Create and write scientific reports, scientific and technical documentation, and write articles for high-ranking publications, applying fundamental principles of scientific ethics, anti-plagiarism measures, and preventing falsification and fabrication. The learner will also be able to interact with the research supervisor, reviewer, and journal editor during the dissertation writing process or article publication.
• Synthesize and select an appropriate approach for conducting interdisciplinary scientific research; choose and apply methods for data processing and interpretation; formulate and solve applied problems under uncertainty; and generate new, complex ideas and knowledge autonomously and responsibly.
• Аpply a project-based approach in science; allocate resources and organize work in accordance with the Agile manifesto; analyze risks and engage with stakeholders based on the principles of the flexible approach.
• Аble to create conceptual diagrams describing the structure of intelligent computational systems, develop efficient algorithms to solve complex artificial intelligence tasks, formulate and solve problems using formal mathematical models, and understand and apply the fundamental principles of computational complexity and optimization
• Develop and apply advanced machine learning algorithms, including deep learning, effectively work with large datasets to solve practical problems, and present the results using formal descriptions suitable for the scientific community.
• Аble to create effective systems for automatic text analysis and user interaction in natural language, build language models, and implement speech recognition and text analysis algorithms.
• Аpply a project-oriented, student-centered approach to learning, develop public speaking skills, and gain confidence in working with large audiences.
• Able to integrate ethical principles into the development and use of artificial intelligence technologies, assess risks and potential negative consequences of AI applications, and analyze the impact of AI technologies on society and the economy.
• Сreate and adapt algorithms for recognizing and analyzing visual data, apply computer vision algorithms for processing and interpreting video and images, and independently develop solutions for applied tasks such as autonomous driving or medical imaging.