The key gateway (Second Year) units are QBUS2310 Management Science and QBUS2810 Statistical Modelling for Business. Not only are these units necessary as a prerequisite to our senior level units, they are also extremely useful in their own right.
Besides its importance for Business Analytics, Statistical Modelling is fundamental and provides crucial tools for many of the models and methods covered in other disciplines; e.g. Finance (the capital asset pricing, and other market, models), Marketing (market research, marketing analytics) and Accounting (budget forecasting). In QBUS2810 Statistical Modelling for Business students will learn how to identify and uncover relationships between business variables (e.g. profit, expenditure, customer choices, etc.) and build models to help understand the current business environment and predict future trends. The unit is practical and involves using statistical software to analyse real data sets that are relevant to business. Any student considering a major in Finance, Marketing or Accounting will find this unit very helpful, and students considering an Honours year are also likely to find this unit beneficial for their thesis topic; just ask your Honours Coordinator. This unit leads on to QBUS3830 Advanced Analytics, which looks in more depth at data analysis foundations and methods, is strongly recommended for any students intending to undertake Honours in Business Analytics. From Semester 1 2017 QBUS3830 Advanced Analytics will be a compulsory unit for the Honours Program in Business Analytics. That is, if you plan to enter the 2018 Honours program, you will need to take QBUS3830 in 2017.
Students who seek to apply their quantitative skills in modelling and decision making will benefit from QBUS2310 Management Science. This unit leads on to the third year subject QBUS3310 Advanced Management Science which looks in more depth at optimisation methods, and is a natural gateway to our Honours Program.
If you are interested in Big Data analytic tools, specifically for analysing the enormous data sets (measured in terabytes) that businesses are collecting and then analysing via e.g. Web analytics (e.g. Google analytics) and Marketing analytics, then the units QBUS2820 Predictive Analytics and QBUS3820 Data Mining and Data Analysis are for you. They deal with visualising and understanding the relationships and patterns in data, in order to provide accurate business predictions as a tool to support decisions in a business environment. Students will be exposed to methods that can be used in specific tasks such as credit scoring, prediction and classification, market segmentation, consumer behaviour modelling and product positioning. If you are interested in how insurance companies use quantitative actuarial data for decision making, then QBUS2830 Actuarial Data Analytics is for you.
Students with a general interest in how managers make decisions will benefit from taking QBUS2320 Methods of Decision Analysis. Students who want to focus on how businesses operate should consider QBUS2330 Operations Management and the follow-on unit QBUS3320 Supply Chain Management.
If you are interested in working in the financial services area or have an interest in financial markets or risk management in general, then you may want to consider taking QBUS3810 Business Risk Analysis.
The following gives a link for information on the BA major, showing its detailed requirements.
Students who first enrolled in their degree prior to 2015 must take a major in Quantitative Business Analysis.
The following gives a link for further information on the QBA major
© 2002-2017 The University of Sydney. Last updated: 8 February, 2017
ABN: 15 211 513 464. CRICOS number: 00026A. Phone: +61 2 9351 2222.