More information

nik.uni-obuda.hu/en/data-science-msc 

Overview

Recommended for those

Those graduated engineers who would like to carry out research and development tasks in their field of specialisation and to manage such teams independently, and would like to understand the interrelationships and challenges between several areas of cyber security, such as information security, audit requirements, security requirements for critical infrastructures, and technical and technological protection solutions (processes and technologies in a security operations centre, security of communications, security of data storage, protection of assets).

Brief Course Description/Objective

The aim is to train data scientist course is to train IT professional who extracts insights from complex and diverse data sets, applying statistical, computational, and machine learning techniques to solve real-world problems. The course focuses on teaching students how to understand various types of data, identify patterns and relationships within them, and apply the necessary transformations to prepare data for analysis. Core components of the program include data preprocessing, statistical analysis, machine learning, data visualization, and real-world process modeling. Graduates will be capable of drawing meaningful conclusions from data, making data-driven decisions, and effectively communicating their findings to stakeholders

Programme structure

More information about the programme at: nik.uni-obuda.hu/en/data-science-msc/

Career opportunities

The graduates will be able to carry out research and development tasks in their field of specialisation and to manage such teams independently, and they will understand the interrelationships and challenges between several areas of cyber security, such as information security, audit requirements, security requirements for critical infrastructures, and technical and technological protection solutions (processes and technologies in a security operations centre, security of communications, security of data storage, protection of assets).

Apply now! Academic year 2025/26
Application deadline
31 Jan 2025, 14:00:00
Central European Time
Studies commence
1 Sept 2025
Apply now! Academic year 2025/26
Application deadline
31 Jan 2025, 14:00:00
Central European Time
Studies commence
1 Sept 2025