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Guide de l’étudiant

Faculté
Département
Qualification AwardedDATA AND WEB SCIENCE
Programme d' ÉtudesPMS EPISTĪMĪ DEDOMENŌN KAI PAGKOSMIOU ISTOU (2018 éōs sīmera) PF
Cycle / Niveau2e cycle / Master
Année Académique2019 - 2020
StatutActif
Websitedws.csd.auth.gr
Contact emailpms_info@csd.auth.gr
ECTS / WorkloadOne ECTS unit corresponds to hours of workload.
DATA AND WEB SCIENCE
Postgraduate
PTYCHIO (Α Degree awarded by a Greek public University or by an accredited foreign Institution at equivalent status). The Degree has to be awarded to a discipline equivalent to Informatics.
The Postgraduate Studies Programme in "Data and Web Science" (DWS) offers a specialization in the emerging fields of Data Science and Web Science. This is crucial given that the exponentially increasing data production and the rapid evolution of Web technologies pose new challenges in multiple thematic areas of Computer Science. These challenges are posed at all levels of the IT technology stack in terms of infrastructure, management, access, and utilization of information for knowledge extraction that will be provided directly and will open up new possibilities for the development of science and innovation.
In order to obtain the Postgraduate Specialization Diploma of the Postgraduate Programme "Data and Web Science" of the School of Informatics is required within the maximum period of time provided in Article 5 of the internal operating regulations of the programme (<https://dws.csd.auth.gr/files/internal-regulation-gr.pdf>), the concentration of ninety (90) credits (ECTS). Sixty (60) ECTS come from courses. The thirty (30) ECTS are attributed to the Postgraduate Diploma Thesis which is assigned during the third semester and is is graded by a three-member examination committee.
The primary scope of the Programme is the adequate training of postgraduate students in Data and Web Science so that they are able to either work directly in industry in relevant jobs, or to proceed with research activities in academia towards a Ph.D. Also the Programme contains a flexible curriculum that includes basic as well as advanced topics and offers strong resources in the areas of Data and Web Science.
In addition to the basic knowledge, graduates will have the ability to: 1) apply knowledge in practice, 2) communicate in a second language 3) search, analyze and synthesize data and information, using appropriate technologies, 4) adapt to new situations and take decisions 5) work independently or in a team in an international and/or interdisciplinary environment, 6) generate new ideas and scientific knowledge, design and manage scientific and research projects, 7) respect diversity, multiculturalism and the natural environment), 8) demonstrate professional, social and moral responsibility, and gender sensitivity, 9) apply critique and self-critique, and 10) promote free, productive and deductive thinking.
Not applicable.
The qualification is a terminal award and allows access to doctoral studies.
A scale of 1 to 10 applies to the marks of each subject in the Hellenic Higher Education.
Άριστα (Arista) Excellent: 8.50-10.00
Λίαν Καλώς (Lian Kalos) Very Good: 6.50- 8.49
Καλώς (Kalos) Good: 6.00-6.49
Ανεπιτυχώς (Anepitychos) Failure: 0-5.99
The minimum passing grade for the courses or the graduate diploma thesis is six (6) (Internal Regulations Document of the Postgraduate Studies Programme of the School of Informatics <https://dws.csd.auth.gr/files/internal-regulation-gr.pdf>)
3 SEMESTERS, 90 ECTS
Workload during a full academic year is equivalent to 60 European Credit Transfer and Accumulation System (ECTS) units and workload during each semester is equivalent to 30 ECTS units (1 ECTS unit =25-30 student workload hours). Compliance with the ECTS regulations started in 2007, when the Greek Legislation was harmonized with the relevant European one (Ministerial Decision no Φ5/89656/β3, art. 1-3, Hellenic Government Gazette no 1466/2007/B). Each course is credited with a number of ECTS (>=2) according to the studentworkload (contact hours, laboratory work, examination etc.) and accumulation of credits (ECTS) is accomplished after successful completion of the course.
Full and part time.
Associate Professor Grigorios Tsoumakas