Core, Stream Core and Capstone Courses

Online transactions, mobile applications, Internet of things (IoT) devices, and social media generate massive amounts of data that is crucial for business operations and strategy. Accordingly, businesses increasingly need to know how to capture and analyse such data to gain managerial and strategic insights that will improve their competitive position.

This course is fundamentally about where various sources of data come from; how to pull it and transform it; how to analyse it through basic data mining, data visualization, and basic analytics techniques; and how to gain original insights from such analyses. Hands-on technical skill development will strongly focus on using Python programming for data scrapping, data mining, and data analytics.

Students will also learn the basics of Tableau for data visualization and reporting. This course will set the foundation for other courses in which the student will be expected to find, clean, and use original data, and where more advanced forms of analytics will be introduced.

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 presents many standard situations of data analysis and interpretation with emphases on business examples. The statistical analyses of these situations are presented, through use of various statistical software.

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, analyse, 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) understand and question assumptions, 2) consider a richer set of solution alternatives, and 3) consider diverse measures of performance.

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 the typical business organization, the majority of the 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 activity.

This course covers a set of techniques that were designed to help people understand operations processes and then improve processes whether those processes are administrative, manufacturing, product design, or service processes.

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.

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