Here you find everything that concerns students who started the MSc in Data Science in the academic years 2017-2018 or 2018-2019.
How does this Degree help me?
Having completed the course, you will:
- understand how data can be gathered, managed, processed and mined to support and improve strategic planning, as well as decisions and actions across a variety of domains;
- better position yourself in the job market, through specializing in the analysis of omni-present data;
- gain access to new career options and paths.
Obtaining the MSc in Data Science Degree, you will be a valuable asset for any enterprise, academic organization or public institution handling data. Your access to market opportunities will be strengthened by the international reputation and strong links of the MSc founders with the academia and businesses worldwide. You should also expect a number of opportunities to obtain work experience and engage in European projects, due to the Research Center’s heavy involvement as a coordinator and partner in such endeavours.
Who is it for?
This Degree is a two-year-long, full time programme consisting of two semesters of classes and one semester allowed for Thesis writing.
The MSc in Data Science is structured with evening classes. It is ideal for graduate students of engineering, mathematics, statistics, finance, economics, operations research, and computer science schools who want to further their education and improve their skills.
Where will the courses take place?
All classes are held in English (including the Diploma Thesis) and attendance takes place in the evenings at the NCSR "Demokritos" campus in Athens, Greece.
Living and studying in Athens
The campus is located in Aghia Paraskevi suburb of Athens which allows students to enjoy:
- a rich lifestyle and cultural experience;
- ease of access to travel destinations, within and outside the city;
- exploring Greece and its famous islands.
You can find instructions to reach the NCSR Demokritos campus here.
Duration and Fees
This Degree is designed to run in the evenings for two (2) years full-time.
More specifically, in the 1st, 2nd and 3rd semesters students need to attend four (4) courses per semester on which they will be examined at the end of the respective semester. During the 4th semester, students prepare their diploma thesis. The courses, as well as the assignments and the exams, are all held in the English language.
Tuition fees for all students (Domestic and International) amount to €3.000 in total for both years of their study. Tuition fees are paid in three (3) installments, at the beginning of each semester of study. The installments are set at €1.000.
This Degree is a one-year-and-a-half long, full time programme consisting of two semesters of classes and one semester allowed for Thesis writing.
The MSc in Data Science is structured with evening classes taking place at NCSR "Demokritos" campus in Agia Paraskevi, Athens, Greece.
It is ideal for graduate students of engineering, mathematics, statistics, finance, economics, operations research, and computer science schools who want to further their education and improve their skills.
The MSc in Data Science is primarily designed for Science and Engineering professionals and graduates.
Candidates who have not yet completed their studies, but are expected to have graduated by the start of the Program in early October, can also apply. All relevant certificates will need to be submitted at the time of registration.
Necessary qualifications
Recommended skills and qualifications
How to apply
Candidates are invited to submit their application within August electronically via the address https://msc-data-science.uop.gr/apply/.
For completing your application you will need:
For more information please visit this page.
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© National Centre for Scientific Research "Demokritos" for the Institute of Informatics and Telecommunications and University of the Peloponnese for the Department of Informatics and Telecommunications. Contents of the "MSc in Data Science" website may be copied freely for non-commercial research and study.
