Programme Information

Graduation Requirements

To fulfil the graduation requirements, students must:

  • Pass the coursework requirements;  
  • Pass the English module(s) (for students who are not exempted from it);
  • Pass the PhD Qualifying Examination within 24 months of candidature;
  • Complete a thesis and oral defense to the satisfaction of the examination panel;
  • Maintain a minimum Cumulative Average Point of 4.0; and
  • Complete the above requirements within the maximum candidature.

 

Coursework Requirements

Students are required complete a minimum of 40 MCs modules comprising 3 essential modules (4 MCs each) and 7 elective modules (4 MCs each).

 

Essential modules:

Students must read and pass 2 essential modules in the area of ‘Operations Research (OR)’ as both modules will be tested in the PhD Qualification Examination (Written QE) at the end of their first year of candidature.

 

Operations Research (OR)

Module Code

Module Title

BDC6111/ IE6001

Foundations of Optimization

BDC6112/ IE6004

Stochastic Processes I

 

Students must read and pass 1 essential module in the area of ‘Analytics’.

 

Analytics

Module Code

Module Title

BDC6307

Introduction to Data Analytics

CS5339

Theory and Algorithms for Machine Learning

 

Elective modules:

Students have the flexibility to select the elective modules to match their research interests. The elective modules are grouped into 3 categories: OR Methods, OR Modeling and Data Analytics.


Among the electives modules chosen, at least 2 modules (8 MCs) must be in OR Methods, 1 module (4 MCs) in OR Modeling and 1 module (4 MCs) in Data Analytics.


OR Methods

Module Code

Module Title

BDC6304

Robust Modelling and Optimization

BDC6302

Discrete Optimization and Algorithms

BDC6301

Bayesian Modelling and Decision-Making

BDC6305/ IE6509

Theory and Algorithms for Dynamic Programming

BDC6306/ IE6505

Stochastic Processes II

BDC6303/ IE6507

Queues and Stochastic Networks

IE6511

Surrogate and Metaheuristic Global Optimization

MA5268

Theory and Algorithms for Nonlinear Optimization

MA5248

Stochastic Analysis in Mathematical Finance

ST5214

Advanced Probability Theory

EC5101

Microeconomic Theory

EC6101

Advanced Microeconomic Theory

EC6312

Advanced Game Theory

EC6316

Contract Theory and Applications

CS5234

Combinatorial and Graph Algorithms

CS6234

Advanced Algorithms

 

OR Modeling

Module Code

Module Title

BDC6113

Foundations of Inventory Management

BDC6114 

Logistics and Supply Chain

MA5269

Optimal Stopping and Stochastic Control in Finance

EE5138R

Optimization for Communication Systems

 

Data Analytics

Module Code

Module Title

EE6735

Algorithms for Statistical Inference

MA4270

Data Modelling and Computation

ST5215

Advanced Statistical Theory

ST5224

Advanced Statistical Theory II

ST5222

Advanced Topics in Applied Statistics

ST5223

Statistical Models: Theory/Applications

BZD6003

Applied Econometrics I

EC5103

Econometric Modelling and Applications I

EC6103

Econometric Modelling and Applications II

EC6313

Topics in Econometrics

 

Note:
Not all modules are offered in every semester or academic year. Students are responsible in ensuring that they do not register for modules with any timetable clashes and are able to attend classes and sit for examinations as scheduled.
Students will follow the same module registration procedure as the other graduate students in NUS Business School.

 

PhD Qualifying Examination

Students must pass the PhD Qualifying Examination (QE) within the stipulated period in order to continue with the PhD programme. Passing the PhD Qualifying Examination is the signal for the students to embark on the dissertation.

The PhD Qualifying Examination consists of 2 components: Written QE and Oral QE.

Students are required to pass the written QE at the end of the first year and the oral QE at the end of the second year.

 

Written QE

The written QE comprises 2 closed book written examinations based on the following essential modules:

Module Code

Module Title

BDC6111/ IE6001

Foundations of Optimization

BDC6112/ IE6004

Stochastic Processes I

 

 

Oral QE

The oral QE comprises two components as follows:

  • Presentation of research oriented (RO) paper and
  • Oral examination of 2 elective modules chosen by the student and approved by the thesis advisors. The elective modules chosen must be related to the student’s RO paper.

 

Students who have passed the written QE can commence on their RO papers, which will be submitted for their oral QE at the end of the second year. The purpose of the RO paper is to examine the students’ ability to conduct independent research under the guidance of their supervisors.

 

The QE committee will examine the student’s RO paper and proficiency in the two elective modules before recommending a pass/fail.

 

Thesis Requirements

Proposal Defense

After clearing the QE, students should begin to put together a proposal for the thesis. The proposal is an original idea for investigation put forth by the student, after an extensive study of the topic. The students are expected to detail the research question and also provide an outline of the study design.


A Proposal Examination Committee will be formed and students are required to defend their thesis proposal. As a guide, all students need to defend their thesis proposal in Year 3 to Year 4 in the programme.


Thesis Submission and Examination

Students are required to submit their thesis for examination after being approved by their supervisor(s) and the IORA PhD Director.

The thesis must demonstrate the student’s ability to perform original, independent research, and represent the student’s work and significant contribution to the knowledge in the specific domain of research.


Following the evaluation of thesis by internal and external examiners and if there are no/ minor amendments, the oral examination/ defense will be arranged. The student will be considered for award of degree by the Board of Graduate Studies when all minor/ major revisions are incorporated in the thesis to the satisfaction of the supervisor(s) and the Oral Panel (if applicable) and the thesis has been successfully uploaded onto the relevant system(s).


After the degree has been awarded by the Board of Graduate Studies, the Chancellor's approval will be sought for the degree to be conferred in writing.