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Profile of Programme

The purpose of the program is to acquire research expertise in a specific subject of Statistics.

Key Learning Outcomes

  1. Be aware of issues of general interest related to research in Statistics.
  2. Acquire necessary background related to their subject.
  3. Be able to read scientific papers in English and carry out literature reviews on their subject of study.
  4. Perform research on a specific subject of Probability or Statistics.
  5. Acquire knowledge to give presentations and write scientific reports related to a literature review as well as to their own research findings.
  6. Acquire knowledge to write and publish scientific proceedings and journal papers.
  7. Acquire knowledge to write and present a dissertation.

Key Information

Department: Department of Mathematics and Statistics

Faculty: Faculty of Pure and Applied Sciences

Programme Name: Statistics

Direction: Statistics

Level of Qualification: 3rd Cycle (Doctoral's Degree) [6 Semesters]

Mode of Study: Full time

Language of Instruction: Greek

Coordinator: Professor Efstathios Paparoditis

Curriculum Structure

Course Type ECTS
Compulsory
Compulsory 180
Recognition of prior studies 60
TOTAL ECTS 240

Courses per Semester


Notes

You can find information about the programs of study in the Departmental Prospectus.

Conditions of Study

The number of places available are announced by the Graduate School with the eligibility criteria for candidates, as well as other required documents that must be attached to the application such as:

  • Bachelor’s degree from a recognized University.
  • Previous University education in a suitable subject (academic background) and grades of relevant degrees.
  • Letters of recommendation.
  • Personal interview and/or written examination (whenever deemed necessary).

The Department may also set additional criteria and quality indicators such as: (a) number of students’ publications in scientific journals, (b) students’ participation in seminars, symposia, research programmes, (c) presentations by students at conferences, (d) knowledge of foreign languages, and (e) professional experience, etc. 

Successful completion of the requirements of the Program. Up to 60 ECTS may be exempted from postgraduate courses.

The diploma dissertation, thesis, research and writing stages are graded with Success / Failure. The final grade of the dissertation is registered in the last semester of its elaboration. The doctoral dissertation is graded as Success or Failure." σε "The comprehensive examinations, research proposal, research and writing stages are graded with Success / Failure. The final grade of the dissertation is registered in the last semester of its elaboration. The doctoral dissertation is graded as Success or Failure.

Further Information

Occupational Profiles of Graduates with Examples

Holders of PhD in Statistics are employed in the public and financial sector, in high and responsible positions, as researchers/professors in research institutions/universities or as secondary school teachers. Furthermore, a PhD in Statistics leads, in addition to the specialized knowledge, to the development of a wider range of competencies, critical thinking and organizational spirit, which allow graduates to work in areas that are not directly related to research projects in Statistics.

Access to Further Studies

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