Artificial Intelligence and Big Data Science
Source: https://english.spbu.ru/admission/programms/graduate/artificial-intelligence-and-big-data-science Parent: https://english.spbu.ru/admission/programms/graduate
In Russian
Level of education Master
Type of instruction Full-time
Duration 2 years
Programme description
- The master’s programme ‘Artificial Intelligence and Data Science’ is designed to train experts who are capable of applying their knowledge and skills in mathematics, the natural sciences, programming, and information technology to address practical problems in the field of artificial intelligence
- The programme is unique in that students are involved in real-world, interdisciplinary industrial projects, where they apply their knowledge and skills in areas such as data analysis, methods of artificial intelligence and machine learning, software development, and project management
- The programme is positioned as a platform for facilitating interaction with industry representatives
Main courses
- Algorithms of Image Analysis and Classification
- Information Retrieval and Natural Language Processing
- Neural Network Theory
- Applied Machine Learning Tasks
- Project Management
- Computer Vision Algorithms
- Big Data Storage and Processing Technologies
- Fundamentals of Machinery Learning
- Theory of Bayesian Networks
- Methods and Technologies of Artificial Intelligence and Data Science in Analysis and Modelling of Social Networks
- Computer Vision Technologies
- Image Processing Algorithms
- Methods of Statistical Information Processing in AI Applications
- Innovation Management
- Data Science: Tools and Project Lifecycle
Our advantages
- The programme is taught by representatives of major industrial companies and research organisations
- While studying students participate in interdisciplinary projects, which allows them to apply acquired knowledge and skills in data analysis, AI, machinery learning, different areas of science, education, public and business life, government and municipal activities
- The programme includes a special block of disciplines "Artificial Intelligence for the Arctic Region" which is aimed at training of specialists capable to apply AI and Intelligent information systems technologies in solving of problems in public, economic, government areas in the Arctic Zone of the Russian Federation
- The programme provides students with an opportunity to take part in research and industrial projects carried out by leading scientists of St Petersburg University in the field of AI
- It is a joint academic programme in partnership with Sberbank of Russia and St Petersburg Federal Research Centre of the Russian Academy of Sciences
Teaching staff
- Maxim Abramov, Candidate of Engineering, Associate Professor in the Department of Informatics, Head of the Laboratory of Theoretical and Interdisciplinary Problems of Informatics at St Petersburg Federal Research Centre of the Russian Academy of Sciences; Advisor to the Senior Vice-Rector for Academic Activities; Executive Director for Data Research at Sberbank; author of more than 150 scholarly papers
- Iuliia Rakovskaia, Head of the Sber Research and Development Centre
- Anastasija Khlobystova, Assistant Professor in the Department of Informatics, Junior Research Associate in the Laboratory of Theoretical and Interdisciplinary Problems of Informatics at St Petersburg Federal Research Centre of the Russian Academy of Sciences; and Advisor to the Senior Vice-Rector for Academic Activities; author of more than 50 scholarly papers
- Valeriia Stoliarova, Assistant Professor in the Department of Informatics, Junior Research Associate in the Laboratory of Theoretical and Interdisciplinary Problems of Informatics at St Petersburg Federal Research Centre of the Russian Academy of Sciences; author of more than 40 scholarly papers
- Anastasiya Korepanova, Assistant Professor in the Department of Informatics, Junior Research Associate in the Laboratory of Theoretical and Interdisciplinary Problems of Informatics at St Petersburg Federal Research Centre of the Russian Academy of Sciences; author of more than 20 (24) scholarly papers
- Valerii Oliseenko, Assistant Professor in the Department of Informatics, Junior Research Associate in the Laboratory of Theoretical and Interdisciplinary Problems of Informatics at St Petersburg Federal Research Centre of the Russian Academy of Sciences; author of more than 20 scholarly papers
- Fedor Bushmelev, Assistant Professor in the Department of Informatics, Junior Research Associate in the Laboratory of Theoretical and Interdisciplinary Problems of Informatics at St Petersburg Federal Research Centre of the Russian Academy of Sciences
Main areas of research
- The application of artificial intelligence and data science methods to applied research
- Artificial intelligence in Arctic research
- Intelligent processing of industrial enterprise data
- Intelligent technology and satellite data analysis
- Bayesian belief networks, algebraic Bayesian networks, and related knowledge models involving uncertainty in artificial intelligence
- Analysis of social media, social ties, user personality traits, and digital twins
- Information security: analysis of user protection against social engineering attacks
- Databases and database-driven information systems
- Fuzzy systems and soft computing
Career opportunities
Professions
- Data Scientist
- Data Engineer
- Machine Learning Engineer
- Computer Vision Engineer
- Artificial Intelligence Developer
- Software Developer
- Data Base Administrator
- IT Manager
- IT Project Manager
- Systems Analyst
- Research and Development Specialist