Cyprus University of Technology MSc in Data Science and Engineering
Cyprus University of Technology

Cyprus University of Technology

MSc in Data Science and Engineering

Limassol, Cyprus

MSc

English

On-Campus

Key Summary

    About : The MSc in Data Science and Engineering provides an interdisciplinary approach combining computer science, statistics, and engineering. The program focuses on key areas like machine learning, big data, and data visualization, aimed at equipping students with essential skills to analyze and manage complex data sets. The course typically lasts 12 months for full-time students and is designed for those seeking a solid foundation in data science principles and practices.
    Career Outcomes : Graduates can pursue exciting careers as data scientists, data engineers, or machine learning engineers. Opportunities also exist in sectors such as finance, healthcare, and technology, where professionals can leverage their data analysis skills to drive informed decision-making and innovation.

The emergence of internet, cloud and multimedia technologies as an integral part of everyday life, both in the workplace and in the field of personal life, results in huge volumes of data being produced by users of information systems on a daily basis. The recording and storage of this data by the providers of these information systems/services is now a routine process, due to the now petty cost of large database systems.

Based on these developments, the technological, scientific and business challenge of our time is the development of large-scale analysis systems. That is, systems that have the ability to process in real-time large volumes of data in order to extract useful information of very high added value to guide decision-making processes. Highly competitive knowledge economy industries such as social networks, search engines, large companies developing prototype drugs, large university hospitals, defense systems companies, but also banking sector (risk assessment, capital management) as well as large retail companies, are typical cases of organizations where huge volumes of data are collected on a daily basis. Intelligent analysis of the exploitation of this data could lead to significant new value-added chains for these organizations