PhD in Industrial Engineering and Decision Analytics

General

Introduction

The Doctor of Philosophy (Ph.D.) 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 Ph.D. 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. 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 include The Design & Manufacturing Services Facility (DMSF), and High-performance Computing Clusters (HPC). 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 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. 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. For more program information, please refer to pg.ust.hk/programs

About the School

The Hong Kong University of Science and Technology

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

Hong Kong

Ask a Question

General Information

Can you send me more information about this program?

Program Dates

When is the application deadline for this program?

What is the start date for this program?

Tuition & Fees

How much does this program cost?

Can I pay for this program in installments?

Program Type & Duration

Is this program available online?

What is the duration of this program?

Is this program offered part-time or full-time?

Study Place

Where is this school located?

Where is the campus located?

Funding

What other funding options do you have for this program?

How to Apply

What documents are required to apply to this program?

What is the admission process for this program?

Language

In what language is this program taught?

Recent Searches

Most Popular

Most Popular

Locations

PhD in Industrial Engineering and Decision Analytics

General

About the School

The Hong Kong University of Science and Technology

The Hong Kong University of Science and Technology

Ask a Question

General Information

Program Dates

Tuition & Fees

Program Type & Duration

Study Place

Funding

How to Apply

Language

Other