Module BUSI4BI15: Advanced Data, Digital and Global Business Analytics

Department: Management and Marketing

BUSI4BI15: Advanced Data, Digital and Global Business Analytics

Prerequisites

• None

Corequisites

• None

Excluded Combination of Modules

• None

Aims

• In today’s global business environment, organisations increasingly require a data-driven culture. The Advanced Data, Digital and Global Business Analytics module seeks to equip students with practical digital and business analytics skills crucial for organising, managing, and transforming global businesses. These skills are also crucial for cultivating and embedding data-driven decision-making and culture. The module will strive to introduce students to a diverse range of tools crucial for analysing and interpreting large amounts of data to inform cross-border business decisions.

Content

• The lectures and practical classes within this module will be organised around the following themes/topics:
• Introduction to data mining techniques.
• Analytics models.
• Digital analytics.
• Global supply chain management analytics.
• Cross-border investment analytics.
• Text mining and natural language processing for global business.
• Global business analytics.
• Big data, blockchain analytics and implications for global business.

Learning Outcomes

• Upon successful completion of the Advanced Data, Digital and Global Business Analytics module, the students will have:
• Demonstrable knowledge and understanding of a diverse range of digital technologies and data analytic techniques.
• A range of relevant knowledge and application of digital technologies.
• An in-depth understanding in analysing and evaluating digital technology applications for global expansion.

• Upon successful completion of the module, the students will:
• Have developed data-driven decision-making, and problem-solving skills.
• Have the ability to communicate effectively across cultures using digital technologies.
• Develop a data-driven culture in organisations.

• Effective written communication.
• Planning, organising and time-management.
• Problem solving and analysis.
• Team working, sourcing appropriate data and evaluating evidence; interpreting and using data.
• Reflecting and synthesising from experience, synthesising diverse perspectives.
• Making effective use of communication and information technology; data presentation and visualisation.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• Learning outcomes will be met through a combination of lectures, seminars and guided reading.
• The assessment of the module, by written assignment, is designed to test students' knowledge and understanding of the subject-matter and their ability to apply it to the analysis of specific issues.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

Group presentation on the data analysis report.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University