Overview
The Management PhD is a very rigorous, comprehensive and flexible program. Comprised of six different specialization fields, our PhD is ideal to those who wish to obtain a major training in Management and a more focused approach on another scientific field of their choice:
Data Science
Duration
4 Years
Language
All courses are taught in English
Vacancies
Only up to 30 candidates will be accepted
Tuition Fees
Annual fee 4.000 €.
Students are expected to be enrolled in the program for at least 3 years before submitting their Ph.D. thesis.
Please check with the Academic Services for ISCTE-IUL’s payment schemes.
Program Association
PhD in Management is member of the European Doctoral Association in Management & Business Administration (EDAMBA).
6 Reasons to choose this PhD Program
Flexibility
Our classes take place during short periods of two weeks, four times a year. This structure makes our program ideal to those who need to balance a professional career with an academic journey. Students take the opportunity to expend part of their PhD time visiting other international schools we have partnerships with.Comprehensiveness
The fact that you may combine a strong training in Management with a focused approached on another scientific field of interest provides you with a greater set of tools;Faculty
All courses are lectured by teachers whose research focus is on the broad areas under scope
Seminars
Throughout the year you will be lectured by foreign professors, specialists on the theme under analysis.Support for conference attendance
In order to support and stimulate PhD student to attend and participate in international conferences, BRU-Iscte supports the expenses (limited reimbursement) according to the internal rules.Internal Scholarships for PhD students
Iscte offers competitive grants for PhD students. Usually there are two independent calls for applications:Soft Skills Scholarship: performed for educational support activities within the bachelor degree Soft Skills curricular units;
Other Internal Scholarships: For developing pedagogical and technical skills at specific department fields or to support research projects at BRU-Iscte.
Main Goals
Encourage and support doctoral students in disseminating the results of their research by presenting papers at conferences and publishing articles in journals, in order to receive from the scientific community the constructive feedback on those findings
Providing doctoral students with knowledge and skills that will help them to advance and progress in their academic or professional careers, access to top jobs in public and private institutions, as well as manage their own business excellence
Through significant coursework, to equip doctoral students with a set of knowledge and skills that will allow them to conduct and develop innovative and independent skilled research
Learning Goals
The students in this study cycle must be capable of:
Assist in the presentation, dissemination of the research results within the academic community
Enable the critical analysis of the ideas and work of other researchers in the students’ area of study and suggest ways to overcome possible limitations
Enable the design and implementation of sound research plans according to ethical and methodological norms likely to generate contributions to the development of scientific knowledge in the management field
Encourage students to autonomously promote the advancement of knowledge in Management
To develop deep and systematic insight on the Management field of studies
Curriculum
| course | Semestrer | ects |
|---|---|---|
| Research Design I | 1st Semester | 6.0 |
| Statistical Methods | 1st Semester | 6.0 |
| Research Seminar in Management * | 1st Semester | 12.0 |
| Qualitative Research | 1st Semester | 6.0 |
| Research Design II | 2nd Semester | 6.0 |
| Research Development and Publication | 2nd Semester | 6.0 |
| Research Project in Management * | 2nd Semester | 12.0 |
| Qualitative Analysis and Model Building in Organizational Research * Advanced Quantitative Methods in Management * | 2nd Semester | 6.0 |
| semester | course | ects |
|---|---|---|
| 1st Semester | Phd Thesis in Management | 30 |
| 2nd Semester | Phd Thesis in Management | 30 |
| semester | course | ects |
|---|---|---|
| 1st Semester | Phd Thesis in Management | 30 |
| 2nd Semester | Phd Thesis in Management | 30 |
| semester | course | ects |
|---|---|---|
| 1st Semester | Phd Thesis in Management | 30 |
| 2nd Semester | Phd Thesis in Management | 30 |
Faculty
Mixture models for longitudinal data, Optimization Methods, Multivariate Data Analysis and Statistical Analysis
Program Manager
Our Program Manager can will help you with your doubts about this programme.
Accreditation A3ES
This course is accredited for 6 years
Date of Publication: 04-06-2019
Self Evaluation Report
Registration DGES
Initial Registry
R/A-Cr 166/2012 de 30-08-2012
Update Registry
R/A-Cr 166/2012/AL01 de 08-01-2020
