|3-5 Years (Evening)||English||Ilha Verde Campus|
The Doctoral programme in Information Systems is a research based programme for exploring advances in the study and practice of Data Sciences and Artificial Intelligence, with multiple possibilities of application areas. Doctoral students in the Institute of Data Engineering and Sciences (IDEAS) are encouraged to publish papers in high impact academic journals and present papers at international conferences.
The IDEAS has a comprehensive list of research topics and currently accepts students for the programme that are interested in the research areas of Data Sciences and Applications; Artificial Intelligence; Signal and Image Processing; Big Data Analytics; among others.
During the 3-5 years of study, Doctorate in Information Systems students hold full-time student status.
The Doctoral Programme Coordinator is Prof. Adérito Fernandes Marcos.
Students complete the curricular part of the programme during the first year, which is composed of the following 5 modules:
- Methodologies of Investigation
- Methods and Techniques for Quantitative Research
- Methods and Techniques for Qualitative Research
- Integrative Research Seminars
- Specialist Studies and Reading Programme
During the first year of study, students must also prepare a thesis proposal. The completion of all modules and University approval of the proposal is a requirement to progress to the thesis-writing stage of the programme.
Working directly under an academic supervisor, the doctoral student independently completes an original and significant research project. Students begin their thesis once their proposed work and supervisory arrangements have been approved by the University.
A preliminary research plan is required to apply. Applicants may choose one of the open doctoral topics or submit their own thesis proposal as part of their application.
For the programme’s government approval [in Chinese and Portuguese] click here. (Please click in P2 or P3, on the top-left of the document, to access the subsequent pages.)
Please click on any specific module below to see its description.