Program Curriculum

Students will acquire necessary analytics skills in the required courses and focus on their areas of interest in elective courses. Both full-time and part-time students are required to complete a total of 30 credits from required and elective courses to graduate.

Required Courses

Big Data Analytics

Data plays an increasingly important role in business decision making. This course introduces the key concepts and applications of business analytics in the world of Big Data. Example business problems to be solved analytically include customer relationship management, financial trading, social media marketing, search engine strategy, etc. Hands-on experience with popular data analytical tools will be included.

Business Analytics in R

The course introduces students to modern data analysis using R, with an emphasis on business, in particular, financial applications. Main topics to be covered include data exploration methods, regression analysis and time series analysis.

Business Modeling and Optimization

The science and technology of informed decision making with a focus on optimizing business processes. Spreadsheet decision modeling in Excel is used throughout. Emphasis is on problem formulation, spreadsheet-based solution methods, and managerial insights. Applications relate to managerial decision problems in diverse industries and functional areas including finance and accounting, human resources, marketing, and operations.

Consumer Privacy Management in the Information Economy

This course provides an overview of information privacy and management in the information economy. It covers the fundamental concepts and dimensions of privacy; the impact of Internet marketing, customer relationship management, Web personalization, and data mining on consumer privacy; privacy enhancing technologies; and regulation of business practices.

Data Analysis

Covers various discrete and continuous probability models and their applications in business problems, estimation and testing of hypotheses, simple and multiple linear regression analysis.

Introduction to Business Analytics

This course describes the multiple regression method and its variants as exploratory and predictive models for fact-based management and data-driven decision making. The course adopts a case-based approach.

Simulation for Risk and Operations Analysis

The course covers the basic principles and approaches of computer simulation, and introduces Monte Carlo simulations with Excel and @risk, and discrete event simulation with Arena, focusing on their applications in solving business and operation problems.

Social Media and Network Analysis

The course describes the basic concept of networks, tools to obtain network data from social media, and how to carry out mature analysis of social media data to facilitate decision making.

Visual Analytics for Business Decisions

This course focuses on various visualization analysis tools for business decisions. Making good use of visual analytics helps summarize and analyze large amounts of data effectively. In this course, the topics like visualization framework, visual analytics for spatial, temporal, network and textual data, and dynamic visualization will be included. Reporting visualization results for business decisions will also be discussed.

 

Elective Courses

Big Data Technologies

This course introduces the emerging technological paradigm of "big data" management. Topics covered include a range of big data technologies, such as HDFS, MapReduce, Hive, Pig, and NoSQL.

Business Analytics Practicum

This course provides students practical experience in business analytics through independent study, business case analysis or company projects, under the supervision of faculty members. For company projects, a collaborating company will be involved to offer real business problems to which students can apply their business analytics knowledge.

Business Modeling with VBA

This course introduces students to business application modeling using Visual Basic Applications (VBA) in Excel. Students will learn to develop applications in different business areas, including finance, marketing, technology operations, etc. Essential features of VBA needed for application development will be introduced as part of the course and hence no prior experience with VBA is needed. Emphasis is on extensive hands-on problem solving.

Digital Marketing Strategy and Analytics

This course examines how firms can use digital and social media to reach, acquire, and engage customers. Topics include viral marketing analytics, online word-of-mouth, social data, and mobile ads and apps, etc.

Electronic Commerce and Web Analytics

This course offers essential knowledge and tools for managers of e-business. Topics include e-commerce models, Internet marketing, Internet pricing and strategy, web-based personalization, e-CRM, and digital rights management.

High Dimensional Statistics with Business Applications

This course presents classical and modern approaches for analyzing multivariate and high dimensional data, including principal components, factor analysis, discriminant analysis, clustering, new developments in dimension reduction, large-scale covariance matrix estimation and multiple testing. All of these approaches will be covered in the context of Marketing, Finance and other important business areas. Computational issues for both traditional and new methodologies will also be discussed.

Operations Analytics

This course focuses on the critical issues in the design, production and delivery of tangible goods, as well as intangible goods, in the business world. Topics include process analysis, capacity and bottleneck issues, waiting time management, inventory management, quality management, lean systems, supply chain management and e-commerce. Quantitative and qualitative tools will be taught to analyze the problems and create innovative solutions.

Project Management

This course covers the essential project management skills to ensure successful implementation of high-technology projects. Topics include investment decisions, resource planning, budgeting, scheduling, outsourcing, and risk assessment and control as major components of the PMBOK (Project Management Body of Knowledge).

Special Topics in Business Analytics

This course covers selected topics in business analytics. Topics vary with recent interest, market emphasis and latest advancements.