Courses - Faculty of Business And Economics


Business Information Analytics

Postgraduate 700 Level Courses

BUSINFO 700
15 Points

Analysis of Business Problems

Develops a managerial perspective on the use of small and big data in problem identification, analysis and decision-making. Explores big data strategies and develops an understanding of the business and industry context in which analytics professionals operate and how different parts of organisations interact.

BUSINFO 701
15 Points

Business Analytics Tools

Develops skills in programming and business intelligence applications using the most commonly applied software and freeware. Provides insights into data wrangling and focuses on using tools for problem-solving, including their application in a variety of business settings.

BUSINFO 702
15 Points

Information Management

Develops skills in the use of contemporary data management tools and the DataOps ecosystem to optimise the efficient storage of data. Emphasises data stewardship, including data governance and related ethical considerations. Explores behavioural, strategic and social issues related to data management software and tools to create agile data organisations.

BUSINFO 703
15 Points

Data Visualisation for Business

Develops skills in unsupervised machine learning techniques, e.g., cluster analysis, factor analysis, and text mining, which enable unstructured and structured data to be leveraged to provide insights. Uses storytelling and visualisation techniques to translate data patterns in order to inform managerial decision-making.

Prerequisite: BUSINFO 700

BUSINFO 704
15 Points

Predictive Business Analytics

Provides insights into the most commonly used supervised machine learning techniques, e.g., linear regression, logistic regression, random forest techniques, neural networks. Applies these techniques to model data for predicting relevant events. Addresses caveats of the techniques and how to evaluate model validity and outcomes.

BUSINFO 705
15 Points

Decision Analytics

Explores how business analytics can be used to improve business processes and decisions. The link between quantitative models and qualitative processes is explicitly explored. Decision biases are considered in the context of decision modelling. Monte Carlo simulation and optimisation are among the decision tools taught.

BUSINFO 706
15 Points

Customer and Market Insights

Develops customer and market insight capabilities through the use of machine learning applications such as prospect selection, churn modelling, customer segmentation and attribution modelling. Focuses on the use of CRM data and explores the contributions that survey data can make. Explores campaign management and other aspects of implementing the results of analytical projects.

Prerequisite: BUSINFO 704

BUSINFO 707
15 Points

Digital Marketing and Analytics - Level 9

Synthesises academic marketing research findings with previously taught knowledge about analytics, the digital channel, marketing planning and practice in order to attain marketing strategic goals. Enables students to critically and independently evaluate alternative analytical techniques, and apply these insights to formulating solutions to challenges involving, for example web scraping, network analyses, google analytics and techniques such as text mining and cluster analysis.

Prerequisite: BUSINFO 704

BUSINFO 708
15 Points

Supply Chain Optimisation

Uses key analytic modelling techniques to analyse and optimise supply chains. Topics include facility location, network design, and general logistics. Key trade-offs are explored, including that difference between efficiency and effectiveness. Uncertainty is modelled and shown to be key in supply chain design.

Prerequisite: BUSINFO 705

BUSINFO 709
15 Points

Supply Chain Analytics - Level 9

Synthesises learning from business analytics methodologies (e.g., multivariate data analysis, data mining, and network visualisation) taught in prior classes. Requires application of the latest supply chain research findings from the academic literature in developing practical business solutions, involving issues such as supplier selection and multi-sourcing. Develops skills and knowledge to independently and critically address open-ended and ill-defined challenges in Supply Chain Management including complex tactical supply chain management problems, including supplier selection, multi-sourcing.

Prerequisite: BUSINFO 704

BUSINFO 710
15 Points

Advanced Project Management

Develops advanced project management skills and readiness for the final business analytics industry project, including definition and formulation of KPIs, risk assessment, progress monitoring, process evaluation, and reporting. Students will apply these skills in the formulation of an industry project proposal.

BUSINFO 711
15 Points

Consultancy Practice

Develops professional skills in communication, case practice, interviewing, networking, and business etiquette. Enhances team and management skills including conflict management and cultural awareness and builds resilience.

BUSINFO 712
30 Points

Marketing Analytics Industry Project - Level 9

Marketing analytics consultancy project for a client company with written and oral presentation.

Prerequisite: BUSINFO 706, 707, 710, 711

BUSINFO 713
30 Points

Supply Chain Analytics Industry Project - Level 9

Supply chain analytics consultancy project for a client company with written and oral presentation.

Prerequisite: BUSINFO 708-711

BUSINFO 714
30 Points

Marketing Analytics Project - Level 9

Individual marketing analytics consultancy project for a client company with written and oral presentation.

Prerequisite: BUSINFO 706, 707, 710, 711

BUSINFO 715
30 Points

Supply Chain Analytics Project - Level 9

Individual supply chain analytics consultancy project for a client company with written and oral presentation.

Prerequisite: BUSINFO 708-711

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