Current Year

Information for those entered the MSc in Data Science this academic year, 2020-2021: degree overview, weekly program, course structure and news.


Weekly Program

Monday Data Management 18:00-21:00 (Spiros Skiadopoulos, Thanassis Vergoulis)
Tuesday Machine Learning 18:00-21:00 (Anastasia Krithara)
Wednesday Big data mining 18:00-21:00 (Ilias Zavitsanos)
Thursday Large-scale statistical methods 18:00-21:00 (Ioannis Moscholios)
Monday Big Data Management 18:00-21:00 (Christos Tryfonopoulos)
Tuesday Big Data Security and Visualization 18:00-21:00 (Nicholas Kolokotronis, Nikos Platis)
Wednesday Applied Data Science 18:00-21:00 (Charilaos Akasiadis, Alexandros Nousias)
Thursday Deep Learning 18:00-21:00 (Theodoros Giannakopoulos)

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 one and a half (1 1/2) years full-time.
More specifically, in the 1st and 2nd 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 3rd 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 two (2) installments, at the beginning of each semester for the first two semesters of study. The installments are set at €1.500.

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.

Preparatory class

Data programming

Optional | Instructors: Theodoros Giannakopoulos

1st semester

Data Management

Mandatory | Instructors: Spiros Skiadopoulos, Thanassis Vergoulis

Large-Scale Statistical Methods

Mandatory | Instructors: Ioannis Moscholios

Machine Learning

Mandatory | Instructors: Anastasia Krithara

Big data mining

Mandatory | Instructors: Ilias Zavitsanos

2nd semester

Big data management

Mandatory | Instructors: Christos Tryfonopoulos

Big data security and visualization

Mandatory | Instructors: Nicholas Kolokotronis, Nikos Platis

Applied Data Science

Mandatory | Instructors: Charilaos Akasiadis, Alexandros Nousias

Deep Learning

Mandatory | Instructors: Theodoros Giannakopoulos

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 2020, can also apply. All relevant certificates will need to be submitted at the time of registration.

Necessary qualifications

  • Relevant Science or Engineering University degree, preferably in Computer Science, Mathematics, Statistics, Finance, Economics, Operations Research or equivalents.
  • Excellent command of the English language

Recommended skills and qualifications

  • Experience in working with data
  • Programming experience
  • Statistics background
  • Basic data analysis experience

How to apply

Candidates are invited to submit their application by Monday 24 August 2020 electronically via the address

For completing your application you will need:

  • Detailed curriculum vitae (CV) in English
  • Copies of all diplomas/ university degrees received.
  • Transcripts of grades in Greek or English
  • Copy of identity card
  • Candidate’s photograph
  • Two recommendation letters (Candidates may also provide the contact details of the persons who are willing to provide them a recommendation letter)
  • Proof of knowledge of the English language. (Certificate of Proficiency in English from University of Michigan/Cambridge, TOEFL, IELTS or other equivalent)
  • Scientific publications and distinctions (if any)
  • Proof of professional experience (if any)

For more information please visit this page.

Data Science-related graduate destinations
Data Science-related graduate roles
Further study and Research destinations

  • Data management firms
  • Statistical/data analysis firms
  • Content management software firms
  • International security organizations
  • Data and text mining companies
  • Media
  • Data Analyst
  • Big Data Architect
  • Bioinformatician
  • SQL Developer
  • Data Scientist
  • Business Analyst
  • Upon successful completion of the MSc program graduates will be able to apply for relevant positions in research projects, announced regularly by the Institute of Informatics & Telecommunications. Those graduates wishing to contrinue their studies for a PhD Diploma will also have the chance to apply for the positions announced in the context of the joint PhD programs of the Institute with Universities in Greece, Europe and the USA. For more information on the Institute's joint PhD programs, see the Joint PhD programs / Research Collaborations webpage.

Relevant Articles about the Data Market:




  • What are the deadlines for my application?

The registration deadline for this Degree is Monday 24 August 2020. You should submit your online application in full by 23:59.

Please allow sufficient time to complete your online application. Only applications that are complete by the deadline can be considered by the admissions team. All applications must be made through the online application system available here.

  • What are the start and end dates for the academic year?

Start date is 1 October 2020. End date is 30 June 2021.

  • What is the duration of the Degree?

This Degree is designed to run for one year and a half (1 1/2) years full time.

  • What is the cost of the tuition fees for the Degree?

Tuition fees for all students (Domestic and International) amount to 3.000 euros in total for both years of their study.