Organisation of Studies
Phone: +372 665 1318
This page aims to give doctoral students all necessary information related to the organization of studies:
- compiling and implementing your study programme
- evaluation of doctoral students
- regulations and forms
- upcoming courses
Please notify your Study Consultant is something important is missing from here so we could continuously update the page according to your needs.
Compiling and implementing the programme
The successful completion of the doctoral programme in management at EBS is carried out according to the individual study plan compiled by the doctoral student and approved by the supervisor. Individual study plan states the compulsory courses and electives, possible exchange studies, and research activities with a corresponding schedule.
The nominal fulltime study period is 4 years but considering that most doctoral students are also working while studying the individual study plan can also be drafted for a longer period (average 5 years). All doctoral students must go through a yearly evaluation based on their individual study plan. During evaluation the progress of studies and research is evaluated and the evaluation committee might suggest updating the individual study plan according to the real status of doctoral student.
The form on the individual study plan can be found from here. Fulfilled study plans should be submitted to your Study Consultant.
In the beginning of a semester each doctoral student must declare the courses he/she plans to participate through the study information system of EBS (abbreviated as ÕIS). Whilst declaring the courses the doctoral student must keep in mind his/her individual study plan but if interested can also declare other courses (not mentioned in the individual study plan).
How to use ÕIS?
Having successfully entered ÕIS, you will see your personal data (which can be altered if necessary) and also links to your study results etc.
To declare your subjects, choose the link "Declarations". The system automatically offers you a doctoral programme’s standard selection independent from your individual study plan.
If you agree with the list of subjects offered to you, click "confirm declaration".
If you want to change the subjects offered to you follow the steps below:
- to delete subjects, click the link after the subject
- to add subjects you have two alternatives:
- to select additional subjects from your study program, click "declare in addition a subject from my study program",
- to select additional subjects from other study programmes and/or together with other study groups, use the search tools at the bottom of the page – click "add the subject which has not been declared to my group". You can now look for your desired subjects by study group and by subject. Having found the subject, click "add the subject".
- Finalise the declaration by clicking the link "confirm declaration".
Every doctoral student has the right and obligation to present the results of his/her research both nationally and internationally (conferences, seminars, workshops etc.) in order to get feedback and to increase the international circulation of knowledge. These research trips are not covered by the tuition but each doctoral student has the possibility to apply for different scholarships aimed to help to cover these expenses. See more here.
Evaluation of doctoral students and regulations
The evaluation of doctoral students is an evaluation of the progress of doctoral students with their studies and research during the academic year based on the individual study plan of a doctoral student.
Evaluation is performed once per academic year in September by EBS Research Council. The Doctoral students are informed of the time of the evaluation at least one month prior to the evaluation. Doctoral students are evaluated after one nominal academic year from their matriculation or one year after the last evaluation. Doctoral students are not evaluated during their academic leave. Results of the evaluation are reflected in ÕIS in credit points.
Upcoming doctoral courses
Monday, March 5 at 13:00-18:15
Wednesday, March 7 at 13:00-18:15
Saturday, March 10 at 13:00-16:15
Wednesday, April 25 at 13:00-18:15
Thursday, April 26 at 13:00-18:15
Saturday, April 28 at 13:00-18:15
The course covers the following topics: (a) the scope and history of (new) institutional economics; (b) methodological approaches used by institutional economists; (c) game theoretic tools for enabling to study institutions from rational choice perspectives; (d) introduction of the fundamental concepts and topics of the NIE, such as transaction costs, property rights, and the theory of the firm. In addition it covers the determinants of institutions, i.e. how institutions are shaped and/or defined by social and political processes (and history) and why the resulting institutions are not necessarily efficient (and not benefit whole society).
Faculty: Amirouche Moktefi
Monday, March 5 at 9:00-12:15
Tuesday, March 6 at 9:00-12:15
Wednesday, March 7 at 9:00-12:15
Thursday, March 8 at 9:00-12:15
The course opens with a general introduction to logic. In particular, it introduces techniques on how to make definitions. Then, the course offers the analytic tools to recognize and assess arguments. Visual methods will help students to recognize and build structures of arguments and is expected to enhance students’ writing and reading skills. Key concepts such as truth, validity and soundness are introduced. Students are also invited to detect fallacies found in common arguments. Then, the course surveys some techniques in formal logic to make and evaluate arguments. Three formalisms will be briefly considered: categorical syllogisms, propositional logic and predicate logic. Finally, the course introduces students to the basic themes of inductive logic and its critical investigation.
Faculty: Prof Kaire Põder
Thursday, March 8 at 13:00-16:15
Monday, April 23 at 9:00-12:15
Wednesday, April 25 at 9:00-12:15
Friday, April 27 at 9:00-12:15
The course covers the following topics: (a) data visualization and descriptive data analysis; (b) linear regression, (b) the problem of causality, (c) binary regression models, (d) non-linear regression techniques, and (f) panel data. Course is introducing applied research methods, problems and techniques that have been discussed and introduces in last decades in all social sciences in modelling micro data (individual based observations). We use free software R studio . There is no any prerequisites for participating in the course, however knowledge of basic statistics and/or research methodology can help.
Faculty: Amirouche Moktefi
Friday, March 9 at 9:00-12:15
Saturday, March 10 at 9:00-12:15
Monday, April 23 at 13:00-16:15
Tuesday, April 24 at 13:00-16:15
The course is designed as an invitation to reflect on the principles underlying scientific theories, methodsand practices.Science acquired in modern society a central status that makes its claims better regardedin public debatesthan any other kind of discourse or argument. This scientific authority has historical roots, philosophical justifications and social implications. The aim of the course is to discusswhat stands as a scientific fact/argument, what makes it so robustand what use can be made of it. The course paysa particular attention to the case of social sciences, their methods and their particularities in comparison with natural and formal sciences.Students who attend the course are also expected to acquire skills in reasoning and rigorous argumentation that will benefit for the development of their research and the writing of their articles.
Faculty: Marge Täks
Tuesday, March 6 at 13:00-16:15
Friday, March 9 at 13:00-16:15
Friday, April 27 at 13:00-16:15
Saturday, April 28 at 9:00-12:15
The course introduces several teaching philosophies, constructive alignment of the study process and how they are related to conceptualising the learning and choice of teaching methodology. On the basis of theory one of the courses you teach or are planning to do during your pedagogical internship, will be restructured.