Business Analytics

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

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: 15 points from ECON 221, ENGSCI 211, STATS 101, 108, and 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110

Restriction: INFOMGMT 290

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

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

Data Visualisation

Visual representations of data enable complex ideas to be communicated clearly and effectively. Covers how to better engage decision makers via data visualisation. Focusses on transforming data into visual digital narratives using modern visualisation tools.

Prerequisite: 30 points from BUSAN 200, 201, ECON 221, INFOMGMT 290-296, INFOSYS 220-280, STATS 208, 255

Restriction: INFOMGMT 392

Big Data and Machine Learning

Provides essential skills to build data-driven digital innovations that augment business decisions. This involves identifying problems faced by different groups of individuals from different spheres of life, analysing the problem space and data needs, building a prototype for a selected design, and using machine learning tools and cloud-based big data analytics.

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

Restriction: INFOMGMT 393, INFOSYS 330

Special Topic

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, ECON 221, ENGSCI 255, INFOMGMT 290, OPSMGT 255, 258, STATS 201-290

Restriction: OPSRES 385

Directed Study

Professional Business Analytics

Focuses on the design and development of end-to-end analytics solutions to business problems. Engages students in issues and challenges relating to problem definition, selection of data analytics tools and techniques, and strategies for ensuring the effective communication of data insights to stakeholders. Develops strategic mindset and teamwork skills.

Prerequisite: BUSAN 201 and 301 and 15 points from BUSAN 200, ECON 221, STATS 208, 255