PROGRAMME OBJECTIVES

The field of data science has evolved due to advancements in computational speed, data accessibility, and innovative analytical methods.

A researcher in Data Science is expected to:

  • Develop methodologies and employ statistical tools to address cross-disciplinary questions.
  • Communicate effectively to distill precise inquiries from complex, diverse, and uncertain data.
  • Translate research findings into practical applications across fields such as science, medicine, industry, and government.
  • Recognize the ethical implications of their work.

Research topics include but are not limited to:

  • Methods for analyzing data in different disciplines
  • Techniques that enable and enhance human-in-the-loop systems
  • Human computation and crowdsourcing for human-centric AI
  • Responsible Data Science
  • Human-centered DS
  • Crowdsourcing
  • Citizen Science

We encourage prospective students to suggest topics related to the above areas.

The minimum time required to complete the doctorate is three (3) years, while the maximum duration is eight (8) years.

 

EUROPEAN CREDIT TRANSFER SYSTEM – ECTS: 180

TEACHING LANGUAGE:  English (The Doctoral Thesis will be in the English language)

LEVEL: Doctorate

DEGREE AWARDED: Doctor of Philosophy (PhD)

 

ADMISSION REQUIREMENTS

Candidates must:

  • be holders of a Masters degree related to or similar to the research areas listed above, e.g. Computer Science, Information Systems, Management of Information Systems, Psychology, Social Sciences, Design, HCI.
  • have excellent knowledge of the English language

For any other general information those interested can also contact Ms. Marianna Prodromou (This email address is being protected from spambots. You need JavaScript enabled to view it.), 00357-22411651.                                                         

Additional qualifications for candidates are:

  • Any publications in prestigious international scientific journals and conferences in the above cognitive areas
  • Any participation in research projects
  • Previous work or other experience in the above topics.

For initial inquiry and discussion on potential topics of interest, you are encouraged to contact Associate Professor Dr. Jahna Otterbacher (This email address is being protected from spambots. You need JavaScript enabled to view it.) and/or Assistant Professor Dr. Styliani Kleanthous (This email address is being protected from spambots. You need JavaScript enabled to view it.).

Candidates must submit:

  1. Complete and detailed CV
  2. If there are any, a detailed list of publications or participation in research projects
  3. Full research proposal up to 2000 words including:
  • A Preliminary Title of the Doctoral Thesis
  • Statement of interest (the subject you are interested in must be explicitly stated)
  • Problem statement, purpose of doctoral dissertation (depending on the topic you choose) and importance of the research
  • Research questions/objectives
  • Brief analysis of the current situation depending on the topic you choose
  • Research methodology of approaching the subject
  • Expected results & impacts
  • Implementation schedule
  • Suggested bibliography

Candidates who do not submit complete supporting documents as listed in point 1-3 will not be evaluated.

 

TUITION FEES

Tuition fees for doctoral programs amounts to €675 per semester for the first six (6) semesters. In case the study lasts longer, then the following applies: for the first four (4) and the last two (2) semesters, the cost amounts to €675 per semester and for the remaining semesters, the cost amounts to €100 per semester. No tuition is paid for the "Academic Writing (DXXX796)" and the "Research Methodology (DXXXX795)", which are mandatory at the beginning of the study. 

Internal Regulations for Doctoral Studies (Revised)

 

APPLICATIONS

Applications can be submitted exclusively online:

Αιτήσεις Αγγ χωρίς ημερομηνίσ

Application dates for the Academic year 2025-2026 will be announced.

 

For additional information, please contact with Associate Professor Jahna Otterbacher, This email address is being protected from spambots. You need JavaScript enabled to view it.

 

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