Our Value Proposition
Our PhD programme is distinctive in its emphasis on the following:
INTER-DISCIPLINARY WORK | APPLIED RESEARCH | INDUSTRY-RELEVANT TRAINING |
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Our PhD students are trained to work across research areas. The curriculum covers five areas that have high market demands - Cybersecurity, Data Science & Engineering, Information Systems & Management, Intelligent Systems & Optimization, Software & Cyber-Physical Systems.
The PhD programme aims to train students to work at the intersection of IT and business, specifically,
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Students to work with industry datasets and commercial platforms. Students will learn to conduct their research in the context of real information systems and business goals. The PhD theses will emphasize solving real-world problems and building usable technology solutions, rather than working only on component technologies. Selected students will also get to participate in industry projects, and experiment with real data sets on commercial test-beds to provide industry relevance to the students' research. This aspect of the PhD training is critical to grooming promising students for good job openings, rather than leaving placement till near the students' graduation. |
Our PhD students will acquire professional skills that are important in industrial R&D, such as competitive intelligence & intellectual property management. Students will have opportunities to network with academic researchers and industry practitioners. To achieve our focus of applied research at the intersection of IT and business, the curriculum provides:
3rd and 4th year PhD students will co-teach classes with experienced professors, and also mentor fresh PhD students. |
PhD in Information Systems students work in the area of: Information Systems & Management.
Curriculum Composition
This is a direct PhD programme, with a maximum candidature period of five (5) years and a minimum period of three (3) years for full-time students.
Our PhD students should identify a (preliminary) research area at the time of admission, so that they can begin research exploration right from the first year of candidature.
Graduate coursework:In the first two years of study, students will enroll in intensive courses to build their research depth and breadth, as well as professional skills:
DEPTH REQUIREMENTS | BREADTH REQUIREMENTS | PROFESSIONAL SKILLS |
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Students will enroll in the advanced course in the primary area, and undertake research apprenticeship with their primary advisors. Each advanced course covers important research papers on key topics and techniques that students need to be acquainted with in order to carry out research in an area. An example of such a collection is the Readings in Information Retrieval, published by Morgan Kaufmann. |
Students will attend courses in Cybersecurity, Data Science & Engineering, Information Systems & Management, Intelligent Systems & Optimization, Software & Cyber-Physical Systems. The breadth requirements are intended to help the PhD students establish their contact networks and to expose them to industry practices. In addition, students will attend the advanced course in one of the breadth areas, in consultation with their advisors. |
To round up the PhD training, the curriculum includes workshops on English Communications; Information Systems Research Methodology; Intellectual Property Management; Research Writing and Presentation; and teaching skills. |
Curriculum Requirements
TOTAL 40 COURSE UNITS (CUs) IN TOTAL
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COURSEWORK (6 CUs) | EMPIRICAL RESEARCH PROJECTS - ERPs (4 CUs) | ADVANCED RESEARCH TOPICS - ARTs | DISSERTATION (28 CUs)
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PhD Programme Schedule
The following tables give a model programme schedule for a full-time PhD candidate. There is some degree of flexibility for individual students to encourage innovation in both instructions and research.
YEAR | TERM 1 | TERM 2 | TERM 3 |
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2 |
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3 |
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4 |
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YEAR 1: PREPARATION PHASE | YEAR 2 - 4 : RESEARCH PHASE | YEAR 4 : DISSERTATION EXAMINATION |
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The student is expected to form a 3-member dissertation committee, and pass an oral qualifying examination followed by a dissertation proposal within the second year of candidature.
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Last updated on 15 Jan 2021 .