Research Seminar

Seminar Coordinators: Prof. Wenxi JIANG and Prof. Zhenyu GAO

Curriculum (2017 - 2018)

To complete the Program, students are required to pass a total of 30 credits of coursework, comprising 15 credits of required courses and 15 credits of elective courses. Both required and elective courses are 3-credit courses.

At least 9 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 5 courses/ 15 credits):

DSME5110      

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.

本課程的主要目的在於讓學生們通曉以計量方法分析企業問題時所需的基本統計工具.涵蓋的內容包括:抽樣方法、概率函數、總體參數的估計和假設檢定、適合度檢定(卡方分析)、方差分析(變異數分析)、回歸與相關性分析,及非參數統計方法等.

 

3 units

DSME6620

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.

本科涵蓋在解決財務、市場營銷和營運問題中所運用的基本定量技能。內容包括不確定環境下的決策、馬氏鏈、線性規劃、經典優化、動態規劃和整數規劃。

 

3 units

DSME6650

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.

本科將由管理角度介紹資料擷取技術於商業上之應用,並將針對特定主題如顧客關係管理及財務分析作介紹。基本資料擷取技術將介紹分類、歸納學習、市場購物籃分析、資料倉儲及類神經網路等。
 

3 units

DSME6651

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.

本科是關於應用經濟模型和數據來謀定企業決策和方略。這種經濟模型的技藝使用從信息經濟學、博弈論、組織經濟學及相關學科研究所得出的原理和工具。本科運用多元方式包括講課、個案分析和其他型式進行。課程中有關營運和策略的討論包括價格厘定、合約設定、企業界限管理、資訊管限、市場進退的分析和競爭策略的策劃。
 

3 units

DSME6652

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.

本科通過運用量化工具(包括線性優化、整數優化、非線性優化、回歸分析和統計分析等)介紹營運管理的一些關鍵因素。本科涵蓋預測、總體計劃、庫存理論、運輸、生產控制及計劃和設施選址等內容,並使用數學建模、電子表格分析、案例討論和仿真等教學模式。

3 units

Elective Courses (Total 5 courses/ 15 credits):

1) BA Elective Courses:

DSME6100       

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

DSME6653

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.

本課程的重點在於如何收集、分析和滙報互聯網數據。主要涵蓋的課題包括網絡分析的概念、網絡分析的工具和技術、網客活動的分析方法,以及網絡智能的概念。此外,本課程亦會分析一些網絡分析的案例,進而評估網絡分析應如何進行才能產生商業的智能,以及網絡分析的技術應如何運用才能優化在線的數據。


3 units

DSME6654

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.

本科將介紹企業流程建模與分析的相關知識,並將側重點放在量化技能的培養上。本科將介紹一個仿真軟件﹐並使用該軟件進行企業流程的業務評估,及幫助與業務改進有關的決策。所學知識將幫助學生科學地應對各類企業流程管理中所面對的問題。


3 units

DSME6720

Business Forecasting

This course provides students with principles and methods in forecasting for managerial planning. Major topics include multiple regression analysis, time series analysis with emphasis on smoothing techniques, decomposition methods, and Box-Jenkins procedures and indicator forecasting. Applications of the methods to both short-term and long-term forecasting to business, industries and national business trends are also emphasized.

本課程為學生提供管理規劃預測的原理和方法。主要內容包括多元回歸分析,時間序列分析,重點介紹平滑技術、分解方法、博克斯-詹金斯Box-Jenkin模型,以及指數預測。應用這些方法預測企業、行業和國家商情的短期和長期的趨勢也會是本課程的重點。


3 units

DSME6751

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.

本科目主要教授商業數據及現代大數據的建模及管理。在課上我們將研討傳統數據及大數據在本質上的差異,如何進行數據採擇及表述,並且選擇合適的方法及工具以存放及查詢數據。主要課題包括數據完整性、數據管理系統、數據倉庫、非關係數據查詢語言及映射/歸納模型。

 

3 units

DSME6930

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.

本科內容包括與有效地管理供應鏈所相關的概念、內涵、實用工具和決策支持系統。本科將探討供應鏈與物流管理中一些關鍵理論及概念,並介紹用以分析供應鏈與物流管理的方法。我們將探討供應鏈與物流管理在電子商務中的作用。此外,通過資料閱讀和案例討論,我們將了解供應鏈在實踐中的問題和解決方案。


3 units

MKTG6027

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.

隨著資訊科技的進步,營銷人員可以取得大量消費者個人資料,今天的挑戰包括:
(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?

課程的目的是提供分析性及數量化的技術與學生解決數據導向營銷的問題。學生會學習如何把營銷問題變成數學或統計模型,並用數據挖掘及統計方法尋找最佳的答案,教學助理會設額外導修課教導學生用SAS編寫程式及用數據挖掘軟件。課程會邀請專業人士分享實踐經驗。

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.


Notes*

      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.

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