Sub Title

School of Engineering

Title

BEng in Decision Analytics

Modules
Award
BEng in Decision Analytics
Duration
4Y
Jupas code
JS5200 Engineering
Title
Application Choice(s)
Application Choice
school-based-admission
Engineering
Description
Students who wish to spend more time exploring their interests may apply and be admitted to the School of Engineering without a major. They will be able to apply to Decision Analytics during the Major Selection Exercise at the end of the first two or three semesters.
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Overview
Description

Our major in Decision Analytics was introduced in 2018 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. 

We are in the process of applying for accreditation for this program from the Hong Kong Institution of Engineers. This will help our graduates to become internationally recognized professional engineers. 

Ranking: 

  • #35 in Statistics and Operational Research (#1 in Hong Kong)
    (QS World University Rankings by Subject 2020) 

Signature Courses: 

  • Prescriptive and Predictive Analytics 
  • Probability and Statistics for Engineers 
  • Stochastic Models 
  • Financial Engineering 
  • Dynamic Pricing and Revenue Optimization
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Title
Career Prospects
Description

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.

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Module Reference
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Student Sharing Reference
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“Of the many internships I undertook during my university life, the one at Macquarie Group was among the most interesting and rewarding. My job responsibilities included conducting research on various fintech solutions, with a particular focus on machine/deep learning, blockchain and RegTech and how they could be applied at Macquarie. The responsibilities and tasks assigned to me were consistent with my major concentration in Financial Engineering, and I gained skills and knowledge that definitely improved my career prospects.”
Student Name
GUPTA, Kriti
Year
Class of 2020
Module Reference
Module Reference
Description
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