PhD in Operations Management

General

Program Description

operations man

The Ph.D. Program follows a strong research-intensive tradition on the North American model and includes two streams: Operations Management (OM), and Statistics. It is designed to enable students to gain a deep knowledge of management in general, to develop a concentration in a specialized field, and to provide opportunities for students to do significant original research in their chosen area. Ph.D. students are offered intensive and targeted research training and exceptional collaboration opportunities with faculty to prepare them for their future careers in teaching and/or research.

Non-MPhil holders may be admitted through an integrated MPhil and Ph.D. program study scheme.

The program is offered by the Department of Information Systems, Business Statistics, and Operations Management which comprises two divisions: Information Systems and Operations Management. The following are the research foci in the Division of Operations Management.

Research Foci

This division includes two streams: Operations Management and Statistics.

Operations Management

The area focuses on supply chain contracting, information sharing in supply chains, the interface of marketing and supply chain management, inventory management, behavioral operations management, and business analytics.

Statistics

The area concentrates on Bayesian statistics, bio-informatics, high-frequency data and financial statistics, high-dimensional statistics, large scale inference, machine and statistical learning, sequential analysis, stochastic control, financial time series modeling, statistical methods for risk and portfolio management, combinatorial stochastic processes, random matrices, and stochastic interacting particle systems.

finance

Admission Requirements

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

i. General Admission Requirements of the University

  • 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.

ii. 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.

iii. Program-Specific Admission Requirements

  • A satisfactory score in GMAT or GRE

For more program information, please refer to pg.ust.hk/programs

Last updated Oct 2020

About the School

Located at the Clear Water Bay of Hong Kong, the Hong Kong University of Science and Technology (HKUST) is a research-focused institution that ranks first among top young universities in the world (Ti ... Read More

Located at the Clear Water Bay of Hong Kong, the Hong Kong University of Science and Technology (HKUST) is a research-focused institution that ranks first among top young universities in the world (Times Higher Education Young University Rankings, 2020). With an international outlook and global reputation, the university aims to be a leading university, both locally and internationally, through excellence in teaching and research. With the unprecedented demand for high-end talent in support of the development of Hong Kong and the world, The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)) will be set up in Nansha, south of Guangzhou, to synergize with its Clear Water Bay (CWB) counterpart, nurturing talents and facilitating collaboration amongst Hong Kong, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and beyond on education, research and knowledge transfer. Read less