The Full time program of study “Master of Science in Data Science” is addressed to excellent recent graduates, or midcareer professionals looking to upskill, with strong technical/math skills, from engineering, mathematics, statistics, finance, economics, operations research, and computer science.
Find out more about the program, its structure and the people behind it
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.
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