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Master’s Programme “Big Data Technologies”

Joint programme of GATE Institute and FMI of Sofia University “St. Kliment Ohridski”
Admission for the academic year 2025/2026

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At a glance

  • Educational degree: Master’s degree
  • Institution: GATE Institute & Faculty of Mathematics and Informatics, Sofia University
  • Focus: Big Data, AI, Data Engineering
  • Learning: Practical, Project-Based
  • Environment: International Academic Environment
  • Career: Implementation in Industry and Science

Programme Overview

The Master’s program “Big Data Technologies” prepares specialists who can design, build and manage large-scale data processing systems using modern technologies and artificial intelligence methods.

Unlike classic Data Science programs, the program at GATE focuses on the entire life cycle of data – from collection and processing to analysis, interpretation and visualization in real systems.

How Big Data Really Works

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  • Collecting data from heterogeneous sources
  • Processing and transporting raw data
  • Modeling and storing
  • Preparing for analysis (cleaning, enrichment, normalization)
  • Managing data flows
  • Analysis, interpretation and visualization
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What You Will Learn

Big Data Management and Processing

Big Data Engineering

Data Sharing and Interoperability

Artificial Intelligence for Big Data Systems

Specialisation tracks

  • Hybrid Intelligent Systems
  • Intelligent Text, Document and Transaction Processing
  • Semantic Technologies for Big Data
  • Intelligent Geographic and Geospatial Processing
See Profiles in Detail

Hands-on Learning & Infrastructure

The training is highly practical and takes place in the unique infrastructure of GATE Institute for Bulgaria:

Working with Java and Python

Private Cloud with Kubernetes

Cloudera technologies

Working with real IoT, text, transactional, visual and geospatial data

Guest Lecturers & International Faculty

The training is supported by guest lecturers from leading European universities and industry.

Prof. Andrea Maurino

University of Milano-Bicocca, Italy
Big Data, Artificial Intelligence, Data-intensive systems

Prof. Flavio De Paoli

University of Milano-Bicocca, Italy
Distributed systems, software architectures, big data platforms

Prof. Matteo Palmonari

University of Milano-Bicocca, Italy
Big Data analytics, semantic technologies, EU research projects

Assoc. Dr. Mila Koeva

University of Twente (ITC), The Netherlands
Geospatial data, remote sensing, 3D urban modelling

Prof. Dr. Claudio Percello

University of Twente, The Netherlands
Machine learning, image analysis, Earth observation data

Prof. Graham Kemp

Chalmers University of Technology, Sweden
Big Data systems, data management, bioinformatics

Nikolay Nikolov

University of Oslo / SINTEF Digital
Big data pipelines, distributed infrastructures, data lifecycle modelling

Christoph Böhm

Co-founder & Managing Partner, bakdata
Real-time data processing, streaming platforms, industry applications

Career Opportunities

Graduates of the program can be realized as

  • Data Engineer
  • Machine Learning Specialist
  • Data Analyst
  • Data Manager
  • Systems Integrator
  • Researcher / PhD candidate

Admission Requirements

Candidates must have a bachelor's degree in the field of:
  • Information and Communication Technologies
  • Mathematics
  • Engineering or Economics
All candidates must take a competitive exam for master's programs in the field of "Informatics" at the Faculty of Mathematics and Informatics (FMI).

Application

Application is made entirely through the Faculty of Mathematics and Informatics (FMI) of Sofia University.

Current information on deadlines, documents and fees:

For questions about the content of the program:

msc-bigdata@gate-ai.eu
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