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Postgraduate Programs 2020/21
Master of Philosophy and Doctor of Philosophy Programs in Industrial Engineering and Decision Analytics
Award Title

Master of Philosophy in Industrial Engineering and Decision Analytics
Doctor of Philosophy in Industrial Engineering and Decision Analytics

Program Short Name

MPhil(IEDA)
PhD(IEDA)

Mode of Study

Both full- and part-time

Normative Program Duration

MPhil

Full-time: 2 years
Part-time: 4 years


PhD

Full-time: 3 years (with a relevant research master’s degree), 4 years (with a bachelor’s degree only)
Part-time: 6 years

Program Advisor

PG Programs Coordinator:
Prof Rachel ZHANG, Professor of Industrial Engineering and Decision Analytics

The Master of Philosophy (MPhil) Program focuses on strengthening students’ knowledge in their chosen area of concentration, and training for engineering research and development. The program is highly suited to individuals who aspire to take a leading technical role in high value-added business organizations. A candidate for an MPhil degree is expected to demonstrate knowledge in the discipline and to synthesize and create new knowledge, making a contribution to the field.
 

The Doctor of Philosophy (PhD) Program is designed for those interested in pursuing a career in advanced industrial research and development, or university research and teaching. This program emphasizes training in original thinking and independent research. Students can design their program of study to suit their interests and needs. The program should cover a specialized area in industrial engineering and at least one minor area. It also aims at developing students’ skills in identifying issues related to a theoretical problem or a practical application, formulating an original research project that addresses some of the significant issues, and independently creating an effective solution to the problem. A candidate for a PhD degree is expected to demonstrate mastery of knowledge in the chosen discipline and to synthesize and create new knowledge, making an original and substantial contribution to the discipline.

The programs are offered by the Department of Industrial Engineering and Decision Analytics with the following research foci, enabling students to gain a comprehensive grasp of both technological and managerial aspects of contemporary issues in this field and to make a contribution to progress in driving the world forward by improving technology management and operations management.


Research Foci

Decision Analytics

Predictive and prescriptive analytical tools, demand and supply analytics, revenue optimization, operations research and stochastic modeling, financial engineering and risk management, applications to consulting services and the knowledge economy.


Engineering Management
Design and manufacturing, quality engineering and applied statistics, human factors and ergonomics, biomechanics, cognitive decision and functional brain studies, virtual reality, and industry 4.0.

 

Logistics and Supply Chain Management

Logistics management, supply chain, queueing, operations research and stochastic modeling, risk management, service operations management, logistics simulation.

 

Facilities

The Department is well equipped with modern and up-to-date laboratories for teaching and research purposes.

 

Relevant central facilities and research institutes include: The Advanced Manufacturing Institute (AMI), Design & Manufacturing Services Facility (DMSF), and High performance Computing Clusters (HPC).

  1. Minimum Credit Requirement

MPhil: 15 credits

PhD: 30 credits

 

  1. Credit Transfer

PhD students entering with master’s degrees from other universities may be granted credit transfer of up to 12 credits.

 

  1. Required Courses

MPhil:

Students are required to complete a minimum of 15 credits of approved postgraduate coursework, with at least 9 credits from the following list.


PhD:

Students are required to complete a minimum of 30 credits of approved coursework, with at least 15 credits from the following list, and at least one 3-credit 6000-level course subject to the approval of the supervisor. Subject to the approval of the thesis supervisor and the PG Committee, a maximum of 6 credits of undergraduate 4000-level coursework may be counted toward the degree requirements.
 

IEDA 5170
IEDA 5230
IEDA 5250
IEDA 5260
IEDA 5270

 

  1. School Requirements on PhD Programs

In addition to the program requirements, all full-time and part-time PhD students are required to complete the school requirements, which aim to help students gain a wider exposure to multidisciplinary areas, and attain all-rounded learning by broadening their knowledge base.


PhD students are required to take at least a 3-credit course at 5000-level or above outside their programs offered by the School of Engineering. The 3 credits may be satisfied by courses from other Schools upon approval.


In some exceptional cases where students can provide sufficient justifications and obtain prior approval from their supervisors, PG Coordinators, and Heads of Department/Program Directors or designees, they are allowed to take the 3-credit course within their home departments/programs but the course must be in areas outside their specialty.

Details of the requirements are available on the website of the School of Engineering.
 

  1. Graduate Teaching Assistant Training
PDEV 6800

 

All full-time RPg students are required to complete PDEV 6800. The course is composed of a 10-hour training offered by the Center for Education Innovation (CEI), and session(s) of instructional delivery to be assigned by the respective departments. Upon satisfactory completion of the training conducted by CEI, MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. The instructional delivery will be formally assessed.
 

  1. Professional Development Course Requirement

PDEV 6770


Students are required to complete PDEV 6770. The 1 credit earned from PDEV 6770 cannot be counted toward the credit requirements.


PhD students who are HKUST MPhil graduates and have completed PDEV 6770 or other professional development courses offered by the University before may be exempted from taking PDEV 6770, subject to prior approval of the School.

 

ENGG 6780


Students are required to complete ENGG 6780. The 1 credit earned from ENGG 6780 cannot be counted toward the credit requirements.


PhD students who are HKUST MPhil graduates and have completed ENGG 6780 before may be exempted from taking ENGG 6780, subject to prior approval of the School.

 

  1. English Language Requirement
LANG 5000


Full-time RPg students are required to take an English Language Proficiency Assessment (ELPA) Speaking Test administered by the Center for Language Education before the start of their first term of study. Students whose ELPA Speaking Test score is below Level 4, or who failed to take the test in their first term of study, are required to take LANG 5000 until they pass the course by attaining at least Level 4 in the ELPA Speaking Test before graduation. The 1 credit earned from LANG 5000 cannot be counted toward the credit requirements.
 

LANG 5001


Students are required to complete LANG 5001. Students can be exempted from taking LANG 5001 with the approval of the Department Head and PG Coordinator. The 1 credit earned from LANG 5001 cannot be counted toward the credit requirements.

 

  1. Postgraduate Seminar
IEDA 6800


MPhil:

Students are required to complete IEDA 6800 for at least two terms.


PhD:

Students are required to complete IEDA 6800 for at least four terms. Part-time students may be exempted from this requirement.

 

  1. PhD Qualifying Examination

PhD students are required to pass a qualifying examination and the preliminary oral examination to review and approve the student’s written thesis research proposal.

 

  1. Thesis Research
IEDA 6990
IEDA 7990


MPhil:

  1. Registration in IEDA 6990; and
  2. Presentation and oral defense of the MPhil thesis.

PhD:

  1. Registration in IEDA 7990; and
  2. Presentation and oral defense of the PhD thesis.

 

Last update: 31 July 2019

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.

 

1. General Admission Requirements of the University
  • Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification;

  • Applicants seeking admission to a doctoral degree program should have obtained a bachelor’s degree with a proven record of outstanding performance from a recognized institution; or presented evidence of satisfactory work at the postgraduate level on a full-time basis for at least one year, or on a part-time basis for at least two years.

2. English Language Admission Requirements

Applicants have to fulfill English Language requirements with one of the following proficiency attainments:

  • TOEFL-iBT: 80*

  • TOEFL-pBT: 550

  • TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)

  • IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5

* refers to the total score in one single attempt


Applicants are not required to present TOEFL or IELTS score if

  • their first language is English, or

  • they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.

Apply online before the application deadlines.

 

Application Fee

HK$180

Application Deadlines

For Hong Kong PhD Fellowship (HKPFS) Application (for PhD studies only):

Step 1 deadline at RGC (to obtain an HKPFS reference no. from RGC):
2 Dec 2019 (12noon, GMT+8)
Step 2 deadline at HKUST:
2 Dec 2019 (11:59pm, GMT+8)

Details please refer to http://pg.ust.hk/hkpfs
 

For 2020/21 Fall Term Intake:

Non-local Applicants*
Full-time: 1 Jun 2020
Part-time: 1 Jun 2020
 

Local Applicants
Full-time: 15 Jul 2020
Part-time: 15 Jul 2020
 

For 2019/20 Spring Term Intake:

Non-local Applicants*
Full-time: 1 Nov 2019
Part-time: 1 Nov 2019
 

Local Applicants
Full-time: 15 Dec 2019
Part-time: 15 Dec 2019


 * Applicants are considered as non-local students if they hold (i) student visa/ entry permit; or (ii) visa under the Immigration Arrangements for Non-local Graduates (IANG); or (iii) dependent visa/entry permit who were 18 years old or above when they were issued with such visa/ entry permit by the Director of Immigration. For details on student visa/ entry permit requirements, please click here.