MSc in Data Science – Επιστήμη Δεδομένων

Ίδρυμα: ΔΙΕΘΝΕΣ ΠΑΝΕΠΙΣΤΗΜΙΟ ΤΗΣ ΕΛΛΑΔΟΣ
Σχολή: Σχολή Επιστημών Τεχνολογίας / School of Science and Technology
Τμήμα:
Πόλη:
Είδος ΠΜΣ: ΠΜΣ
Παρακολούθηση: Πλήρης
Διάρκεια Φοίτησης (εξάμηνα): 2
Τέλη Φοίτησης: 4.000 €
Γλώσσα Διδασκαλίας: Αγγλική
ΦΕΚ:
URL Ιστοσελίδας:
Ειδικεύσεις:
Απευθύνεται σε απόφοιτους των τμημάτων:
  • The International Hellenic University accepts, after a careful selection process, graduates from Greek universities or equivalent institutions from abroad, as well as from Greek Technological Educational Institutes in related subject areas according to Law 4485/2017 and 4610/2019.
  • A good university degree in a relevant subject from a recognised University. Proof of English competence [IELTS (6.5 and above), or TOEFL (IBT, 90 and above) or TOEIC (850 and above) score or any recognised CPE]
Συνεργαζόμενα τμήματα:
Σημειώσεις:

For Masters and Admissions information you can contact us on +(30) 2310 807526, 529 or admissions@ihu.edu.gr

  • 4.000 euros (paid in instalments over one or two years). Scholarships available One year Full or two year Part-time Mode (weekdays evenings)
  • Σχετικά με την παρακολούθηση: απόγευμα
  • Δυνατότητα μερικής φοίτησης με διάρκεια: 4 εξάμηνα

Περιγραφή

For almost half a century now, the world has been producing and collecting data in digital form. However, the past decade hardware and network advances have allowed for very large, cost-effective storage and powerful processing as well as fast transfer speeds. At the same time, scientists have been developing software tools for the analysis of big and complex data, to extract valuable knowledge from them. The goal of data scientists is to make sense of large volumes of different forms of real-world data that may come from the entire spectrum of human activity.
Data Science nowadays is an “umbrella term” that encompasses a variety of scientific fields. Essentially, it is an interdisciplinary field that combines a multitude of different disciplines, some of the most important being the following:

  • Artificial Intelligence & Machine Learning
  • Statistics & Mathematics
  • Database and Big Data technology
  • Software Development & Algorithmics

However, the above list is not exhaustive, as a data scientist often needs to employ other skills, such as hacking, coding, critical thinking, problem understanding etc. All those make the job of the data scientist to be a mashup of different skills that are rarely found together.

Students who apply for the MSc in Data Science of the International Hellenic University, are mainly graduates with a STEM (Science, Technology, Engineering and Mathematics) or an Economics degree, who have a background in statistics and a good knowledge of fundamental concepts of databases and programming.