Masters of Science in Data Science | Athens University of Economics and Business

Applications Now Open for Academic Year 2026–2027

Step into the future of technology and innovation! Applications are now officially open for our postgraduate program:

MSc in AI and Data Science

Designed for outstanding recent graduates and ambitious professionals ready to upskill, the program combines the power of Artificial Intelligence with advanced Data Science methods.

Ideal for candidates with strong technical and mathematical backgrounds in engineering, mathematics, statistics, finance, economics, operations research, and computer science.

Application Deadline: June 15, 2026

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Join a new generation of innovators and data-driven leaders.

PROGRAM OVERVIEW

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Find out more about the program, its structure and the people behind it

MSc in Data Science is ranked 11th globally in the Eduniversal rankings. Learn more

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INDUSTRY PARTNERS

The Master of Science in Data Science has a large and growing number of Industry Partners, offering industrial thesis topics, career days, seminars and short courses, and scholarships, among other forms of collaboration. We are grateful to the Greek industrial community for supporting the program.

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A significant constraint on realizing value from Big Data will be a shortage of talent, particularly of people with deep expertise in statistics and machine learning, and the managers and analysts who know how to operate companies by using insights from Big Data.

Big data: The next frontier for innovation, competition, and productivity, McKinsey report

A data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product.

Hillary Mason, Data Scientist, Accel, Scientist Emeritus, bitly, co-founder, HackNY

Data is the new science. Big data holds the answers.

Pat Gelsinger, CEO, VMware

Information is the oil of the 21st century, and analytics is the combustion engine.

Peter Sondergaard, SVP, Gartner Research

AUEB - MSc in Data Science