The Doctoral programme in Information Systems is an interdisciplinary research track that offers the opportunity to develop state-of-the-art technologies with a human-centred approach with particular emphasis on web science and information systems for a globally interconnected world. It enables students to innovate in key information systems, data engineering and web science research areas. During their Doctoral studies, students are part of the Institute of Data Engineering and Sciences (IDEAS) and are encouraged to present papers at international conferences or publish in academic journals.
The IDEAS has a comprehensive list of research topics in Information Systems and currently accepts students who are interested in the research areas of Information Systems and Organisations, lato sensu, as well as, Data Sciences and Applications, Artificial Intelligence, Signal and Image Processing, and Big Data Analytics, among others.
During the 3 years of study of the Doctoral program in Information Systems, students hold full-time student status. If doctoral candidates cannot submit their thesis for defence by the end of the 3rd year, they may apply for an extension of 2 years.
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.
Admissions Information >
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.
Study plan & description of modules
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.
Modules
Year 1
This module will start with an introduction to the historical foundation of the scientific method, the main philosophical currents that have shaped scientific thinking, and how modern science operates. The module will then provide an overview on the different research designs and methodologies adopted in various fields of knowledge. A final emphasis will be given to techniques of academic writing, publication, and scientific communication.
This module provides an overview of methods and techniques for quantitative research, including the concepts and practical applications of descriptive and inferential statistics, with the aim to motivate the students to build skills in data collection and analysis for their Ph.D. research. The topics covered include general concepts such as sampling strategies, evaluations of reliability and validity of data, and the connection between the research question/hypothesis definition and quantitative data analysis. Different types of statistical tests and techniques are presented and computational tools (Excel, R, and SPSS) are used in practical workshops.
This module enables students to plan and conduct qualitative research studies. The module introduces instrumentation for data collection, including interviews, observation, and reflection on practice. For qualitative studies, it considers matters of researcher bias, sampling, piloting, reliability and validity in the conduct of research, operationalizing research questions; the politics and micro-politics of research; insider and outsider research. This module also aims to enable students to analyze and interpret and present the results of different kinds of qualitative studies.
This module aims to introduce participants to key elements of doctoral research in the broad sense of an Academic framework. It focuses on providing an understanding of the research support Mechanisms at USJ and in overviews of the main research specialisation fields within the University of Saint Joseph, namely Business Administration; Education; Global Studies; Government Studies; History; Information Systems; Psychology; Religious Studies; Science. The course also provides an opportunity for the students to present and discuss their own work in a seminar environment.
This Module provides an initial experience of supervised research work where students will work with their intended supervisor in a collaborative tutorial model that resembles the practice of Thesis Supervision. During the Module the intended supervisor will guide the student trough multiple meetings (up to 15) during a full academic year The students will conduct autonomous research that should result in a preliminary literature review, research contextualisation and a thesis proposal completely finished and prepared to be submitted to the Foundation Year Final thesis proposal review and assessment instances.
This is the major part of doctoral student’s studies. Working directly under an academic supervisor, the student independently completes an original and significant research project. Students cannot start their thesis until the work proposed and supervisory arrangements have been approved by the university.
