Courses - Faculty of Business And Economics

Business Analytics

Stage I

15 Points

Digital Information Literacy

Introduces students to skills, technologies, and techniques for the effective use of digital information. Information in all spheres of personal and professional life is increasingly created, stored, analysed, exchanged and communicated in digital forms. Digital information literacy will help students be more productive in the digital age.

Restriction: Cannot be taken with or after INFOSYS 110-345

Stage II

15 Points

Business Analytics

An introduction to the science of fact based, data driven, decision making, exposure to different approaches, support tools, and analytical methods for decision making, particularly using spreadsheets, reinforcement of critical thinking skills and the ability to intelligently use information; and development and integration of modelling skills in a variety of decision-making-oriented applications.

Prerequisite: STATS 108 and 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110

Restriction: INFOMGMT 290

15 Points

Data Management

Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.

Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110

Restriction: INFOMGMT 292

Stage III

15 Points

Data Wrangling

Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.

Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222

Restriction: INFOMGMT 390

15 Points

Data Visualisation

Graphs, maps, charts, animations and tag clouds assist us to better understand data. Accountants, economists, management and marketing specialists all seek sophisticated visual representations to better communicate with their clients. This course takes a multi-media approach to acquiring and analysing data then transforming it into a usable form, using open-source coding and development tools.

Prerequisite: 30 points at Stage II in Business Analytics, Information Management, Information Systems

Restriction: INFOMGMT 392

15 Points

Data Mining and Decision Support

Business modelling to solve challenging problems faced by identified stakeholders. Students will explore these challenges by decomposing unstructured complex problems, evaluating and prioritising alternatives, allocating scarce resources, and justifying and defending solutions provided.

Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222

Restriction: INFOMGMT 393, INFOSYS 330

15 Points

Special Topic

15 Points

Business Analytics Capstone

Based on a real-life project and focuses on creating a competitive advantage through improving the overall decision-making process of the company hosting the project: from data through to decisions. By exploring the challenges surrounding decision-making students will utilise the skills gained in previous courses enabling the deployment of business analytics tools to find practical solutions to benefit the host company.

Prerequisite: 15 points from BUSAN 200, INFOMGMT 290, STATS 208, 255, and BUSAN 201 or INFOMGMT 292, and BUSAN 300 or 301 and 30 points passed at Stage III

Restriction: INFOMGMT 394

15 Points

Simulation Modelling

Uncertainty exists in all management decisions and simulation is used for analysing systems in industry. This course focuses on modelling real-world problems using a commercial simulation tool. Industrial case studies will motivate the content of the course. Topics include the simulation process, general queue modelling, modelling networks (computer or transportation networks) and simulating operations (machine scheduling or assembly line modelling). The emphasis is on “learning by doing”.

Prerequisite: 15 points from BUSAN 200, ENGSCI 255, INFOMGMT 290, OPSMGT 255, 258, STATS 201-290

Restriction: OPSRES 385