Big Data and Distributed Digital Platform
02.03.02 In English and Russian
Level of education Bachelor
Type of instruction Full-time
Duration 4 years
The academic programme "Big Data and Blockchain Digital Platform" trains personnel in the field of information processing technology and its applications. Graduates of the programme are capable of carrying out: analytical research; design and development projects; and innovative activities in areas related to real-time analysis of Big Data, including aspects of preprocessing, security, integrity control and validation.
Students learn to: create distributed information and computing systems that meet international standards for interoperability, portability, scalability, and information security; and conduct business in the global information infrastructure applications and services industry.
- Modern Programming Methods
- Databases
- Artificial Intelligence Technologies
- Functional Programming
- Machine Learning
- Methods of Optimisation and Operations Research
- Neural Network Technologies
- Machine Learning and Artificial Intelligence Technologies
- Technologies and Methods of Big Data Processing
- Internet of Things
- Cryptography and Blockchain
- Fundamentals of Algorithms
- Mathematical analysis
- Differential Equations
- Probability Theory and Mathematical Statistics
- High performance computing, grid and cloud technologies
- Distributed computing and data processing
- Big data
- Distributed ledgers
- Mathematical modelling of complex problems, developing computing environments ("virtual testing ground")
- Artificial intelligence systems and the Internet of things
- Application of information technology methods to solve applied problems of physics, technology, medicine, and social and economic issues
- The academic programme is designed to train experts in analysis and modelling of complex technological, economic and political, and medical and population processes under the conditions of heterogeneous, poorly structured and promptly updated big data.
- The programme provides fundamental and applied training. It combines studying of key branches of computational mathematics with their actualisation in advanced information technologies. These include: high-performance computing; cloud and grid technologies; information systems; big data analytics and data-intensive systems; distributed ledger technologies; artificial intelligence technologies; Internet of things; industrial Internet; smart industries; information security technologies of the digital economy; geoinformatics; virtual and augmented reality; digital transport; engineering of digital economy enterprises; digital socially oriented technologies; and various science-intensive applications.
- Pavol Jozef Šafárik University in Košice (Slovakia)
- The University of Amsterdam (the Netherlands)
- Lappeenranta-Lahti University of Technology (Finland)
- Aalto University (Finland)
Practices at
- Joint Institute for Nuclear Research (Dubna)
- State Institution of Public Health ‘Medical Information and Analytical Centre’
- EPAM Systems, Inc.
- ZAO ‘Digital Design’
- OOO ‘Vista’
- OOO ‘Raidix’
Professions
- Expert in research and engineering
- Information systems specialist
- Big data analyst
- Software architect
- Database administrator
- Software developer