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 labor market.
QUALITY POLICY *
QUALITY INDICATORS *
*The above files are currently available in Greek.
Learning Objectives
Upon successful completion of the program, graduates will have gained:
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.
Overview of the Programme
Classification according to UNESCO’s ISCED-2011
Based on the level of Education: 7
Classification according to UNESCO ISCED-2013
0619: Information and Communication Technologies (ICTs) not elsewhere classified
ECTS credit points
The total sum of ECTS units (European Credit Transfer and Accumulation System) required for the completion of the Program is 120.
Programme Duration
The minimum time required for the completion of the Programme is two (2) academic years.
Type of Postgraduate Study Programme
Master of Science (M.Sc.)
Level 7 according to the EQF (European Qualifications Framework)
Programme Language
The official language of the Program is English. The language in which all material content is presented, written assignments are submitted and related communication is carried out, is English.
The Post-graduate programme accepts graduates or higher institution diplomas of related disciplines holding a B2 certification in the English language. The programme is offered in English.
The knowledge of an extra foreign language except the language of the programme and good computer-Internet skills would be useful for the successful participation in the programme.
It should be noted that for the successful completion of the programme knowledge of mathematics, probability, good use of computers and basic programming knowledge are required.
Note:
Holders of a degree or diploma of higher education means graduates of Greek Universities or Polytechnics or Higher School of Fine Arts or Higher School of Pedagogical and Technological Education or Higher Technological Educational Institutions (ATEI) or those who hold academically equivalent first cycle degrees from recognized foreign educational institutions with the degrees awarded by the Greek Higher Educational Institutions, in accordance with the provisions of article 304 of Law No. 4957/2022 (Government Gazette 141/21.07.2022, vol.)
Marking:
For the evaluation of the application to the Postgraduate Studies Programme, it will be examined whether the candidate’s institution of study is or may be included in the National Register of Recognised Higher Education Institutions of Foreign Countries and whether the candidate’s degree is or may be included in the National Register of Types of Degrees of Recognised Institutions of Foreign Countries.
The Hellenic Open University, if the degree is included in the list of article 307 of Law No. 4957/2022, must request a “Certificate of Place of Study”, which is issued and sent by the foreign university. If the place of study or part of the studies is confirmed as the Greek territory, the degree is not recognized, unless the part of the studies that took place in the Greek territory is in a public higher education institution or in a recognized foreign educational institution within the meaning of paragraph b) of article 299 of Law No. 4957/2022.
Certification of English language competency at level B2
English competency (level B2) is proven according to article 10, Presidential Decree 85/2022 “Determination of qualifications for appointment in the public sector (Qualification-Department)” (Α΄ 232), in combination with Part C΄ and namely “LANGUAGE CERTIFICATES ” of no. 20/01.02.2023 “Amendment of no. 94/20.6.2022 of the decision of the SUPREME COUNCIL FOR CIVIL PERSONNEL SELECTION (ASEP)”Procedure for determining the fixed parts of the content of staff selection announcements based on predetermined and objective criteria (Articles 28 – 30 of Law 4765/2021 ) (B’ 3614)” (B’ 594) with language proficiency certificates.
Language Certificates
The table below shows the language certificates -level (B2) of English Competency that are accepted as well as the issuing body.
Certification of English competency at level B2 can be proved as follows:
English competency (level B2) is also proven with certificates of other institutions (not limited to universities) of an equivalent level, irrespective of their legal form, provided they are certified or recognized by the competent authority of the country concerned for conducting examinations and issuing certificates of proficiency in English at the appropriate level. These certificates must be accompanied by a proof document from the issuing body that both the issuing body and the language certificate competency are certified by the competent national authority and also and that the certification also concerns the evaluation of basic communication skills (written language production, oral language production, written language comprehension and oral language comprehension).
If there is no certification or recognition body in the country concerned, a certificate from the relevant Ministry or Embassy of Greece is required, confirming that the certificates issued by the above bodies to third parties for whom English is not a native language are accepted in public services of that country as valid evidence of English at the appropriate level according to the Common European Framework of Reference for Languages (CEFR). The competent regulatory authority for Great Britain is the Office of Qualifications and Examinations Regulation (Ofqual).
General notes:
Programme Layout
1st Year
DAMA50 Mathematics for Machine Learning
DAMA51 Foundations in Computer Science
2nd Year
DAMA60 Algorithmic Techniques and Systems for Data Science and Machine Learning
DAMA61 Numerical and Computational Techniques for Data Science and Machine Learning
Module Selection Guidelines
The Programme is structured in two (2) years, which include four (4) compulsory course modules. Students may choose one (1) to two (2) course modules each academic year.
The choice of the first year course modules is unrestrained; there is no priority constraint in selecting between DAMA50 or DAMA51.
The selection of DAMA60, DAMA61 becomes possible after attending the course modules of the first year (i.e. a student can select any module of a year as long as he/she has completed all modules of the preceding year or he/she registers for any remaining earlier modules).
There is no priority constraint in selecting between DAMA60 or DAMA61.
For the acquisition of the Master’s Degree the successful attendance of the four compulsory course modules is required.
DIRECTOR OF THE PROGRAMME OF STUDIES
KALLES DIMITRIOS, Professor, School of Science & Technology, Hellenic Open University
THEMATIC UNIT COORDINATORS
DAMA50 | NIKOU | CHRISTOFOROS | CV |
DAMA51 | KALLES | DIMITRIOS | CV |
DAMA60 | TZAGARAKIS | EMMANOUIL | CV |
DAMA61 | TSIRONIS | GEORGIOS | CV |
Financial Contribution
Financial contribution for admitted students until the academic year 2023-2024:
The financial contribution for students to the Programme is as follows: The cost of each Module is €650.
The total financial contribution for the Programme is: €2.600.
Financial contribution for students commencing from the academic year 2024-2025:
The financial contribution for students to the Programme is as follows: The cost of each Module is €750.
The total financial contribution for the Programme is: €3.000.
Contact
Student Records:
Tel.: 2610367305, 2610367302. 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