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Education objectives
The Doctoral Program in Information Management aims to promote knowledge and innovation in Information Management, particularly in the research of its impact on wealth creation, improving the performance of organizations and the development of new methodologies and decision making tools.
It provides advanced training through research, contributing to the progress of knowledge and the training of researchers, university teachers and highly qualified professionals. The research may follow a more theoretical trend or be developed in an applied context, allowing the knowledge transfer from academia to society.
This Doctoral Program aims to provide advanced knowledge for highly qualified researchers, teachers, technical staff and managers.
This cycle of studies in Information Management is designed to include four areas:
- Data Driven Marketing
- Data Science
- Geoinformatics
- Information Systems
Applications - academic year 2020/2021
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae and a letter of intent, pay the application fee (€ 51), and submit the application in the end, from April 14th to May 19th, 2020. The selection process is based on the analysis of the applicant's academic and professional curriculum.
General characterization
DGES code
55820
Cicle
Speciality Area
Degree
Phd
Access to other programs
Coordinator
Opening date
September 2020
Vacancies
Fees
€3.000 (per year)
Schedule
after working hours
Teaching language
Available soon
Degree pre-requisites
The admission process is based on:
- Final grade of the master's and/or the bachelor's degrees;
- Analysis of the academic and scientific curriculum;
- Analysis of the professional curriculum;
- Interview.
This path is an option of
Conditions of admittance
To enter the Doctoral Program, applicants must meet one of the requirements set out in national legislation:
- Hold a Master's degree or equivalent, or a bachelor's degree, in which the number of credits is at least 240. In this case the final grade average must be at least 16 (out of 20);
- Hold a degree and a relevant academic or scientific curriculum and which has been recognized and approved by the Academic Board that declares that the applicant is able to carry out this cycle of studies;
Applicants must show proficiency (spoken and written) in English.
Evaluation rules
Structure
| 1º year - Autumn semester | ||
|---|---|---|
| Code | Name | ECTS |
| 300003 | Research Seminar I | 7.5 |
| Options | ||
| 200163 | Experimental Design | 4.0 |
| 300032 | Scale Development | 5.0 |
| 300031 | Machine Learning | 7.5 |
| 300028 | Advanced Topics Geographic Information Science | 7.5 |
| 300022 | Writing a Systematic Literature Review | 2.0 |
| 1º year - Spring semester | ||
|---|---|---|
| Code | Name | ECTS |
| 300004 | Research Seminar II | 7.5 |
| Options | ||
| 300037 | Leveraging Mixed Methods Approaches | 5.0 |
| 300029 | Genetic Programming | 7.5 |
| 300027 | Theories of the Adoption and Impact of Technologies | 7.5 |
| 300033 | Theory testing with structural equation modelling | 5.0 |
| 300035 | Theory Development | 5.0 |
| 300034 | Advanced Topics in Geospatial Analysis | 7.5 |
| 2º year - Autumn semester | ||
|---|---|---|
| Code | Name | ECTS |
| 300005 | Research Seminar III | 10.0 |