Basic subjects
Methodology of scientific activity Professional and Academic Communication in Computer Science Psychology of personal resource management Software and hardware of information systems Methodology of design and management of information systems Modern problems and methods of applied informatics IT project management
Specialized subjects
Algorithms and data structures Python programming Expert systems and knowledge bases Mathematical methods of big data analysis Machine learning methods Big Data analytics systems Big Data Analysis technologies Intelligent Geoinformation Systems Intelligent Internet technologies Research project
Program Overview
A data scientist is not only one of the most sought;after and highly paid professions, but also a win-win choice for the second stage of higher education. The program combines a thorough academic approach, a global research agenda and project-based teaching methods. The main programming languages are Python, R and Go.
Prospects. Career & Employment
Employment: Big data analyst, scoring model developer, Data Scientist, research developer, Python developer, algorithm and data processing developer, Data Engineer, data warehouse and BI system developer.
Why is it important to pursue a higher education?
The purpose of the educational program is to train highly qualified specialists for the digital economy who are able to manage the development of products, services and infrastructure solutions based on big data, improve and develop new methods, models, and machine learning algorithms.