Research Seminar

Seminar Coordinators: Prof. Wenxi JIANG and Prof. Yizhou XIAO

Curriculum (2018 - 2019)

To complete the Program, students are required to pass a total of 30 credits of coursework, comprising 18 credits of required courses and 12 credits of elective courses. Both required and elective courses are 3-credit courses.

At least 6 credits of elective courses must be taken from the BA elective courses, and up to 6 credits may be taken from other MSc Programs and Master of Accountancy within CUHK Business School and/ or Faculty of Engineering as Non-BA courses upon approval. Electives may be offered every alternative year and/or in the summer term in the form of intensive course.

Required Courses (Total 6 courses/ 18 credits):


Statistical Analysis
This course is intended to equip students with the basic statistical tools required for the quantitative analysis of business problems. Topics include basic sampling and analysis of data, probability distribution functions, estimation of parameters and hypothesis testing, goodness-of-fit tests, analysis of variance, simple regression, correlation, and basic non- parametric statistical methods.



3 units


Decision Models and Applications
This course covers the principal quantitative techniques used in solving financial, marketing, and operations problems in the private and public sectors. Topics include decision under uncertainty, Markov chain, linear programming, classical optimization, dynamic programming, and integer programming.



3 units


Data Mining for Managers
This course emphasizes on the applications of data mining techniques in business problems from managerial perspectives. Business applications such as customer relationship management and financial analysis will be discussed throughout the course. Some basic data mining techniques will also be explained for illustration purposes. They include clustering, market basket analysis, data warehouse, and neural networks.


3 units


Economic Analytics

This course is about applying economic models with data to deal with corporate decisions and strategies. The art and science of economic modeling for this purpose makes use of the principles and the tools derived from the studies of information economics, games, industrial organization and the related fields. The course is conducted in a variety of formats including lectures, cases studies and other activities. Operation and strategic issues covered in the course include setting prices, designing contracts, managing firm boundaries, controlling strategic information, analyzing entry and exit, and formulating competitive strategy.


3 units


Operations Analytics
This course introduces the analysis of key issues related to the design and management of operations using quantitative tools such as linear, integer, and non-linear programming, regression, and statistical analysis. It covers important topics such as forecasting, aggregate planning, inventory theory, transportation, production control and scheduling, and facility location, among others, and uses mathematical modeling, spreadsheet analysis, case studies, and simulations to deliver materials.


3 units


Business Intelligence Techniques and Applications
This course emphasizes on the applications of business intelligence techniques in the era of big data. The techniques will include data preparation, dimensionality reduction, clustering, classification, market basket analysis, and performance evaluation. Business applications such as customer segmentation and financial analysis will be discussed throughout the course.


3 units

Elective Courses (Total 4 courses/ 12 credits):

1) BA Elective Courses:


Managing Service Operations
This course is designed for students to learn the latest theories, frameworks, concepts, techniques and to apply them in meeting the special challenges of managing service operations. The focus is to develop analytical thinking skills that will enable students contemplating careers in services to develop, evaluate and implement strategies for a wide range of service producing organizations. Topics will include: 1). the importance and economics of customer loyalty and approaches to build customer loyalty; 2). formulation and implementation of service strategies and the strategic service vision for greater business success; 3). management of the operational behavior of customers in service delivery; 4). design of sustainable service models that successfully incorporate a customer’s operating role; 5). analyses of customer data to inform managerial decision making; and 6). management of changes in service settings.

學生通過本科將學到管理服務營運的最新理論、框架、概念和技術,並運用所學知識以應對管理服務營運所帶來的挑戰。本科的重點在於學習分析思路和技能。這些思路和技能將幫助學生開展、評估和實施一系列針對服務型企業的策略。所探討的主題如下:1)客戶忠誠度的重要性和經濟意義,及建立客戶忠誠度的途徑; 2)服務策略的形成和實施,及確保更大商業成功的服務戰略;3)在提供服務時客戶操作行為的管理;4)設計可持續性並考慮客戶營運地位的服務模型;5)分析客戶數據並開展對應的管理決策;6)服務環境下的變動管理。


3 units


Web Analytics and Intelligence

The course focuses on the collection, analysis, and use of web data for business intelligence. Topics covered include web analytics concepts, web analytics technologies and techniques, visitor activity analysis methods, and web intelligence fundamentals. The course also evaluates practical, real-work analysis cases to demonstrate the strategic uses of web analytics for business intelligence and proper application of analytics techniques for online data optimization.


3 units


Business Process Analysis and Simulation

This course introduces knowledge used to model and analyze business processes, with an emphasis on quantitative skills. A simulation package will be introduced and will be utilized to evaluate business process performance and to facilitate the decision making on business process improvement. The knowledge learnt from the course can equip students with scientific competence and help them solve practical problems in various settings related to business process management.


3 units


Selected Topics of Business Analytics

This course is designed to investigate and to discuss selected topics of current interests in the area of business analytics.


3 units


Database and Big Data Management

This course focuses on both business data and contemporary big data modelling and management. We will examine the different natures of data and big data, selection and representation as well as use of suitable methods and tools for storing and accessing them. Topics such as data integrity, DBMS, data warehousing, NoSQL and MapReduce are covered.



3 units


Technology Field Study

This course consists of preparatory assignments in readings and a written study plan, followed by a five-day residential program to Silicon Valley, California or similar Sciences Park in Asia. The course is concluded with a written report and an oral presentation. The goal in taking classroom sessions abroad is to expose our graduate students to a wide spectrum of issues related to IT business, which includes research and development, company culture, and ways to manage a technology company. The issues are highlighted through lectures or seminars by university professors, and visits to world class companies or Research and development Centres. Students will have chance to discuss with top executives from these companies. Through this course, students will be able to understand the strategies companies adopted, and solutions in tackling business issues.



3 units


Supply Chain and Logistics Management

This course covers the concepts, insights, practical tools, and decision support systems for the effective management of the supply chain. This course will convey both the intuitions behind many key supply chain and logistics management concepts and to provide simple techniques that can be used to analyze various aspects of the supply chain and logistics management. The role of supply chain and logistics management in the age of eBusiness will be addressed. Through readings and case studies, we will identify the current and prospective supply chain practices.


3 units


Marketing Engineering
Due to the recent advances in computer technology, marketers can now collect huge amount of customer data to support marketing decisions. The challenges become:

(1) How do we convert such raw data into meaningful marketing information?
(2) How do we derive right marketing strategies for each customer segment from massive customer information?
(3) How do we execute and automate the marketing actions (e.g., acquisition, cross selling and retention campaigns) to maximize marketing efficiency?
(4) How do we build customer loyalty and the brand image in this information age?

The course objective is to equip students with quantitative and analytical skills to solve problems associated with data driven marketing. Students will learn how to formulate marketing problems as mathematical and statistical models and solve them with data mining and statistical techniques. In addition to the regular lectures, the TA will provide three tutorials to cover SAS programming language, and the data mining package (Enterprise Miner). Practitioners will be invited to share their experience in the data driven marketing area with students.

(1) 如何將大量原始數據變為有用的營銷訊息?
(2) 如何從大量營銷信息推算最佳的營銷策略?
(3) 如何實踐及自動化營銷活動尋求最佳的營銷效率?
(4) 如何在資訊年代建立品牌及客戶忠誠?


3 units

2) Non-BA Elective Courses:

Students are allowed to take up to 6 credits of NON-BA courses offered by other MSc. Programs and MAcc Program in the CUHK Business School and/ or the Faculty of Engineering. Examples include Customer Relationship Management, Mergers and Acquisitions, Financial Analysis and Security Trading, and Organizational Marketing, etc.


      1. Students can apply unit exemptions of no more than 6 units and replace them with other courses from the MSc BA electives if they have completed previous equivalent graduate-level courses with “B” grade or above. The application is subject to approval, and exemption test may be required
      2. Students may choose at most six units of Non-BA courses offered by other Master of Science (MSc) Programs and Master of Accountancy (MAcc) Program of the Faculty of Business Administration, and/or the Faculty of Engineering, subject to the approval of the Program Directors concerned. A test may be required to meet the course prerequisite.
      3. The availability of electives depends on the offerings of respective programs, and is subject to change. Class sizes are various course by course, course enrollment is on first-come-first-served basis and subject to permission from the respective course teacher and Program Director.
      4. Course teachers retain the right to change class schedules to enhance the learning experience.

Program Overview

Program Information

Program Aims
Program Features
Tuition Fee and Scholarship
Graduation Requirement

Program Leaflet

Program Brochure


Supporting Document
Information Seminar

Apply Now

Career Prospect

Faculty List


Our Students

          Student Profiles
Words from Students
Students Activities with Photo Gallery 


Contact Us and Useful Links