Data Science and Machine Learning (DAMA)

Ίδρυμα: ΕΛΛΗΝΙΚΟ ΑΝΟΙΚΤΟ ΠΑΝΕΠΙΣΤΗΜΙΟ

Πόλη: ΠΑΤΡΑ

Είδος ΠΜΣ: ΠΜΣ

Διάρκεια Φοίτησης (Εξάμηνα): 4

Γλώσσα Διδασκαλίας: Αγγλική

Επιστημονικά Αντικείμενα: Τεχνολογίες Πληροφορικής και Επικοινωνιών,Διεπιστημονικά προγράμματα που αφορούν τις Τεχνολογίες Πληροφορικής και Επικοινωνιών (ΤΠΕ)

Τέλη Φοίτησης: Με τέλη φοίτησης

Ποσό Τελών Φοίτησης: 2600

URL Ιστοσελίδας: https://www.eap.gr/education/postgraduate/annual/data-science-and-machine-learning/

Περιγραφή Μεταπτυχιακού:

Description

The study program “Data Science and Machine Learning” aims at delivering knowledge and developing skills on state-of-the-art methods and computing tools in Data Science and Machine Learning, in an accessible manner and by promoting active learning.

DAMA focuses on hands-on computational applications of these methods, utilising data from all modern scientific fields (natural sciences, engineering, informatics, humanities and life sciences). Students will be hands-on practicing using programming tools and up-to-date computing tools. DAMA aims to combine knowledge of fundamental concepts and techniques with specific applications so that its graduates will be aptly skilled in today’s labour and market.

Learning Objectives

Upon successful completion of the program, graduates will have gained:

• An understanding of the basic principles and methods of Data Science and Machine Learning.
• An ability to use method to collect, manage and analyse large volumes of data (big data).
• An ability to analyse big data and use it for classification and prediction purposes.
• An ability to use machine learning methods and optimization algorithms for decision making.
• An ability to develop machine learning algorithms for specific applications in a variety of scientific fields.
• An ability to use advanced methods for presenting findings to ensure a most effective analysis and communication.
• An understanding of the social and ethical aspects of analysing and presenting data, of privacy protection, of data management taking into accounts the regulatory framework governing such activities using computers, and of the protection of intellectual property.

Απευθύνεται σε απόφοιτους των τμημάτων:

Admission Requirements

Applicants to the DAMA postgraduate programme must possess an undergraduate degree in a related field from Greek Public Universities, Technological Educational Institutes or equivalent international universities.

Since the Postgraduate Studies Programme is offered in English, a) an adequate knowledge of English is required which corresponds to, at least, the C1 level pursuant to the Common European Framework of Reference for Languages and b) and European language competency to, at least, the B2 level.

Note:

The equivalency to a Greek qualification is recognized by the Hellenic NARIC (Hellenic National Academic Recognition and Information Center / DOATAP), which verifies the validity and equivalence of the acquired degree with those awarded by Greek institutions of higher education. Applicants must possess documents issued by DOATAP.

The term “Universities” in Greece refers to University Schools, Polytechnics and the School of Fine Arts.

All candidates must provide evidence of their ability in English language (C1 level).

*According to par. 7, no. 34 of Law 4485/2017 of the Hellenic Republic, “a Postgraduate Diploma cannot be awarded to a student whose first cycle degree from an institution abroad has not been recognized by the Hellenic National Recognition and Information Center (Hellenic N.A.R.I.C / Δ.Ο.Α.Τ.Α.Π.), according to Law 3328/2005 (A’80).”

Σημειώσεις:

Contact

Student Records:
Tel.: +30-2610 367336. E-mail: dama@eap.gr

General Information:
Tel.: +30-2610 367600. E-mail: info@eap.gr

Portal Helpdesk :
Tel.: +30-2610 367900. E-mail: helpdesk@eap.gr