Our programme is offered in a one-year full-time mode* with an aim to train students in using quantitative tools for managing and analyzing big data in strategic decision making for business and management. Our well-structured curriculum offers a highly specialized range of courses in business analytics, including statistics, decision models, operation analytics, business intelligence and analytics, and applications in forecasting, simulation, data mining, social media, service process, supply chains, marketing and finance, etc. All courses are taught in English.
The programme will require a total of ten 6-credit courses to complete, including five core courses (30 credits) and five elective courses (30 credits). Our rigorous curriculum is divided into three streams: General Analytics, Information Analytics, and Operations Analytics. The course structure is illustrated as follows:
*We are planning to launch a part-time study mode for working professionals in 2018-19. Stay tuned for more updates.
Core Course Descriptions
MSBA6001 - Business Intelligence and Analytics
Online transactions, mobile applications, sensors, video-capturing systems and social media generate a massive amount of data. In response, businesses increasingly rely on quantitative techniques, statistical models, and data mining methods to gain managerial and strategic insights from such data to enhance their competitiveness. This course covers both technical and managerial aspects to provide a basic understanding of business intelligence and analytics and show how it can be used by businesses to analyze their competitive posture more effectively, know their customers better, and make better managerial and strategic decisions. Basic data mining models including classification, clustering, and association rule mining will also be introduced.
MSBA6002 - Business Statistics
The discipline of statistics is concerned with situations involving uncertainty and variability. Variability greatly affects the interpretation of data. Thus statistics forms an important descriptive and analytical tool. This elementary course, which is taught without much technical mathematics, presents many standard situations of data analysis and interpretation with an emphasis on practical business examples. The statistical tests of these situations are presented. Microsoft Excel may be used to carry out some statistical analyses.
MSBA6003 - Quantitative Analysis Methods
This course introduces the basic concepts in quantitative business analysis to help you gain a clear understanding of the key elements in the decision making process. We discuss methods that are used extensively in business organizations. These methods provide you with the tools and the skills to approach, analyze, and solve problems of varying scales. Furthermore, this course aims at improving a decision-maker’s overall problem solving ability by stressing approaches to 1) understanding and questioning assumptions, 2) considering a richer set of solution alternatives, and 3) considering diverse measures of performance.
MSBA6004 - Operations Analytics
Operations are concerned with the management of the processes that convert inputs into outputs. Effective operations management involves managing people, equipment, and other resources. In typical business organizations, the majority of costs and controllable assets are managed by the operations function. Thus, this discipline—with the techniques, procedures, and knowledge it encompasses—is a vital segment of business activities. This course covers a set of techniques that are designed to help decision makers understand and assess various operational—administrative, manufacturing, product design, or service—processes and improve them.
MSBA6005 - Business Analytics Capstone
This course allows students to integrate and apply the knowledge and techniques that they have learned in previous courses in a business analytics project. Teams of student will carry out business analytics projects using real-world data and have the opportunity to be involved in different stages in business analytics project, including project planning and management, strategy setting, model building, data analysis and interpretation, and result presentation. In the process students will become familiar with the use of analytics tools, quantitative techniques, and managerial skills in business analytics projects.
Elective Course Descriptions
MSBA6011 - Managing and Mining Big Data
With the rapid advances of information technologies, massive amounts of data are becoming available. The need to handle “big data” with high volume (in the magnitude of gigabytes, terabytes, and even petabytes), high velocity (real-time streamed data), and high variety (coming from a wide range of sources including social media) has become commonplace in various business and research contexts. The course provides students with the foundational concepts and knowledge on collecting, storing, manipulating, mining, and visualizing “big data”. Core platforms and technologies such as Hadoop, HDFS, MapReduce, Hive, and NoSQL will be introduced.
MSBA6012 - Social and Digital Media Analytics
Social media and digital advertising have become important sources for understanding the stakeholders of an organization, such as customers, suppliers, and pressure groups. Analyzing data from these sources can reveal useful insights for strategic planning and achieving business objectives. This course is designed to help students develop strategies to create and extract value from these phenomena. Topics will cover strategic and operational issues pertaining to social media and digital marketing initiatives, metrics to capture and evaluate outcomes, and predictive analysis to link chatter to business performance. Techniques covered will include social network analysis, SEO/SEM, experimental design, text analytics, and sentiment analysis.
MSBA6013 - Forecasting and Predictive Analytics
This course focuses on the fundamentals of forecasting and predictive models for business. Students will gain knowledge and hands-on experience in applying statistical and data mining techniques to make predictions by identifying patterns and making projections from historical data. The course will also examine the applications of these models in real-world business situations.
MSBA6014 - Business Simulation
This course introduces simulation models to analyse business processes and solve practical problems. Students will gain basic knowledge such as Monte Carlo simulation and discrete event simulation first, and then be introduced to a simulation package that can be used to evaluate business process performance and, more importantly, facilitate decision making processes.
MSBA6015 - Service Operations Management
This course focuses on techniques to manage service operations and combine operations, marketing, and human resources aspects of services in the discussion. Topics will include (1) analyzing service process using queueing models, (2) improving service process with lean concepts, and (3) analyzing customer behavior data and improving service delivery.
MSBA6016 - Supply Chain and Logistics Management
The course is designed to prepare students to apply business strategies, analytical methodologies and information technology in supply chain management. Traditionally, industries have focused on operation evaluation and performance improvement of manufacturing processes; however, the deficiency of supply chain coordination results in severe downgrade of business competitiveness. With the advent of information technology, computers not only improve manufacturing operation and management, but also enhance strategic decision making as well. This course focuses on the systems approach to planning, analysis, design, development, and evaluation of supply chain management.
MSBA6017 - Financial Analytics
This course aims to introduce how spreadsheet modelling and other analytics methods can be applied to financial problems. Topics include derivative pricing, portfolio optimization, risk management, and financial data mining. Microsoft Excel and Visual Basic for Applications (VBA) will be used in the course.
MSBA6018 - Marketing Engineering
This course focuses on introducing the core principles of marketing and covering key marketing concepts and processes such as managing customer relationships, marketing planning, understanding customers, competitors and marketplace, and developing marketing strategies (segmentation, innovation, and positioning) and marketing programs (products/services/branding, pricing, channel, and marketing communications).
**The elective courses may be subject to future changes.