Extraction of Knowledge and Technologies from Big Data (in Bulgarian)
Short presentation of the programme:
The demand for specialists with analytical skills is booming in the IT sector, and the tendency is sustainable. It is rooted in the constantly increasing volume of stored but loosely structured data whose analysis leads to important and unexpected results. The core data science disciplines of machine learning, data visualization and quantitative data analysis, reported to be in-demand in 2021 by Lee Hecht Harrison global study, are part of the master's degree programme. It comprises instruction in data analysis methods extracting knowledge and big data storing technologies. The lecture courses are in line with the best practices in machine learning, statistical modelling and data visualisation, the important elements of the data science. The knowledge gained is applied in the field of image recognition, robotics, detection of rare events in active physical mega-experiments, etc. Most courses include project work. The third semester includes an internship.
The courses are taught by Assoc. Prof. Krassimir Manev, PhD (NBU), Assoc. Prof. Stoyan Maleshkov, PhD (NBU), Assoc. Prof. Mikhail Todorov, PhD (TU, Sofia), Prof. Kirill Simov (BAS), Assoc. Prof. Yassen Gorbounov, PhD (NBU), Assoc. Prof. Dimitar Atanasov, PhD (NBU), Assoc. Prof. Lasko Laskov (NBU), Assoc. Prof. Rositsa Goleva, PhD (NBU), Stoyan Mishev, PhD (NBU), Ivan Vankov, PhD (BAS), Peter Hristov, PhD (CERN), Vladimir Alexiev (Ontotext), Nikola Tulechki, PhD (Ontotext), Slav Angelov, PhD (NBU), Anton Andonov. The ratio of full-time to part-time lecturers is 2:1. The instruction follows a practical approach, providing in an accessible form the main achievements in the fields of statistical training and big data storing and processing technologies.
Since the research component is crucial for data analysts, real-life tasks from various science areas are discussed in the course of study. The lecturers, actively working in the fields of business analysis and scientific research, illustrate the theory taught with numerous examples and implementations. The instruction makes use of the NBU specialised laboratories. The cloud and big data courses use Amazon, Databricks, Microsoft and Google technologies. The graduates can continue their professional development as decision-making data analysts, both in corporate environments and in medium and large enterprises. Manufacturing, IT and telecommunications, finance and insurance are among the industries in which the need for analytical knowledge and skills is most significant.
Https://www.facebook.com/nbudatascience/
Major and professional qualification:
Specialisation:
Major:
Qualification:
International mobility:
Erasmus+ contracts concluded with CERN, JINR-Dubna, University of Würzburg (Germany), Fulda University of Applied Sciences (Germany), University of Nantes (France), University of Bordeaux (France), Free University of Brussels (Belgium), University of Helsinki and University of Craiova (Romania).
Graduate Student Competencies:
Graduates will have mastered knowledge and skills in:
• creating models and applying methods that have predictive power;
• extracting knowledge from and technologies for storing and analysing large volumes of data.
Graduation:
Completion of studies takes place by defending a master’s dissertation or passing a state exam upon earning the required number of credits. The graduation process complies with the NBU Standard for Educational and Qualification Degree Completion.
Occupation and possible positions:
Graduates pursue careers as:
- data analysts, data scientists,
- business intelligence developers, etc.
Department :
Informatics