School of Engineering

BEng in Decision Analytics

Award

Duration

Jupas code (for HKDSE students)

JS5260 Department of Industrial Engineering and Decision Analytics , JS5282 Engineering with an Extended Major in Artificial Intelligence

Application Choice(s)

(for international qualifications)

Department-based Admission

Department of Industrial Engineering and Decision Analytics
Students who have decided to pursue a major in Decision Analytics may apply to the Department directly. After spending one to a few semesters of study in the Department, students will declare a major in Decision Analytics or Industrial Engineering and Engineering Management.

School-based Admission

Engineering with an Extended Major in Artificial Intelligence
Students who wish to spend more time exploring various engineering disciplines before embarking on a major program can apply to "Engineering with an Extended Major in Artificial Intelligence". They will be able to apply to Department of Industrial Engineering and Decision Analytics during the Major Selection Exercise no later than the end of Year 1, and then confirm their major within the Department.

Overview

Industrial Engineering and Decision Analytics is the engineering of making smart decisions based on domain-specific knowledge, data, model and analysis.

Our major in Decision Analytics is designed to equip students to meet the current and future societal needs of the knowledge economy. Students enrolled in this program are trained to analyze real-world data, build and fit models that are consistent with these data, develop algorithms, simulate models, and design process and system innovations to find optimal solutions to important decision problems. They pursue careers in domain-specific areas such as financial engineering or consulting services, including risk management, supply and demand analytics, e-commerce, revenue optimization, health-care analytics, and even sports analytics.

Our program is accredited by the Hong Kong Institution of Engineers (HKIE), allowing our graduates to become recognized professional engineers worldwide.

Ranking:

#43 in Statistics and Operational Research (No.1 in Hong Kong)
(QS World University Rankings by Subject 2024)

Signature Courses:

Prescriptive and Predictive Analytics
Probability and Statistics for Engineers
Stochastic Models
Financial Engineering
Dynamic Pricing and Revenue Optimization

Career Prospects

Graduates of this program possess strong analytical skills and are able to develop algorithms, simulation models, and process and system innovations to find optimal or near-optimal solutions to important decision problems in specific domains of finance sectors and service operations, driven by real-world data. They become managers, engineers, consultants, and analysts with supervisory and managerial roles in various sectors, such as:

Banking and finance
Consulting
E-commerce
Healthcare
Information technology
Travel and leisure

Students may also continue their studies by pursuing M.Sc., M.Phil., and Ph.D. degrees at local and overseas universities.

Program Website

Brochure

Jupas

International Qualifications

Other Qualifications