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
Faculty: prof Kaire Põder
Monday, March 6 at 9:00-12:15
Tuesday, March 7 at 9:00-12:15
Thursday, April 27 at 9:00-12:15
Friday, April 28 at 9:00-12:15
The objective of the course is to learn to apply modern methods for micro (survey or questioner based) data analysis of quantitative research using R studio, which support the thesis writing or other academic writing and publishing in social sciences.
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.
Thursday, March 9 at 16:30-18:00
Saturday, March 11 at 13:00-18:00
Monday, April 24 at 16:30-19:45
Tuesday, April 25 at 16:30-18:00
Wednesday, April 26 at 16:30-18:00
Thursday, April 27.04 at 13:00-18:00
Friday, April 28 at 13:00-18:00
Saturday, April 29 at 13:00-18:00
The objective of the course is to give an overview of (new) institutional economics (NIE) and of the most common methods used by NIE with the emphasis on game theoretic approaches. It includes giving an institutionalist perspective how to overcome the problems related to social traps, understanding of the formation of preferences and varieties of capitalism and provide insight on the social, political and historical determinants of institutions.
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: Dr. Shiko Ben-Menahem (ETH Zürich)
Wednesday, March 8 at 16:30-19:15
Thursday, March 9 at 9:00-12:15
Friday, March 10 at 9:00-18:00
The goal of this PhD seminar is to develop a broad overview of some of the core areas of research in strategic management and innovation, as well as to develop competencies in constructing research papers that contribute to current knowledge in these domains. The seminar will be highly interactive, with group discussions of published research papers on various topics in strategy and innovation, as well as students’ own research.
Faculty: Marge Täks
Tuesday, March 7 at 17:15-20:45
Wednesday, March 8 at 9:00-12:15
Tuesday, April 25 at 9:00-12:15
Saturday, April 29 at 9:00-12:15
The objective of the course is to offer knowledge and skills for teaching and reflect one´s teaching practice.
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.
Faculty: Triin Lauri
Monday, March 6 at 13:00-19:00
Tuesday, March 7 at 13:00-17:00
Wednesday, March 8 at 13:00-16:15
The objective of the course is to introduce participants set-theoretic methods and their application in the social sciences with a focus on fuzzy-set Qualitative Comparative Analysis (fsQCA).
Qualitative Comparative Analysis (QCA) is an analytic technique that uses Boolean algebra to implement principles of comparison used by scholars mainly engaged in the qualitative study of macro social phenomena. The field of QCA - also framed as set-theoretic methods or configurational comparative analysis, has expanded quite dramatically over the last decades and has become one of the prominent approaches in political science and management/organizational studies. QCA is especially valuable in case of middle-N research as by formalizing the logic of qualitative analysis, QCA makes it possible to bring the logic and empirical intensity of qualitative approaches to studies that embrace more than a handful of cases, i.e. preserves its case oriented approach. Boolean methods of logical comparison represent each case as a combination of explanatory and outcome conditions. These combinations can be compared with each other and then logically simplified through a bottom-up process of paired comparison.
Faculty: Associate Professor Kätlin Pulk
Monday, April 24 at 9:00-16:15
Wednesday, April 26 at 9:00-16:15
In an increasingly competitive research community within a rapidly changing world, it is essential that we formulate research agendas that are of lasting importance, with clean research designs that lead to generalizable knowledge, and with high likelihood of yielding results that will have impact in the world. Thus, we are offering this professional skills course that targets the research and writing methodology that are needed in order to excel in the research community, both during your PhD thesis and in your professional career.
The course will be based primarily on a series of reading and presentation assignments in which students will critically reflect on material they are exposed to and apply their insights to their own research agenda. There will also be in-class activities to offer students opportunities to apply and practice their skills. The bulk of the work outside of class will be devoted to a writing project of the student’s own choosing. The student is expected to work towards a research outline for either an on-going research project or a planned dissertation proposal.