Master of Business Analytics
B6022MBAt
- Credit points
- 96
- Duration
- 2 yr full-time
- Qualification
- Level 9 - Master's Degree (Coursework)
- Faculty
- Faculty of Business and Economics
- Campus
- Clayton
Become empowered as a quantitative citizen. By leveraging open data and the most powerful open source software available today you will learn how to fish, rather than be fed. This course is designed to develop thinking, computing and analytic skills for working with data for evidence-based solutions of today's problems. You will learn how to critically assess information provided by others by sourcing and analysing data yourself, with a strong emphasis on ethical and reproducible methods. This course is suitable for those with undergraduate degrees in quantitative disciplines including mathematics, statistics, computer science and engineering. The content is student-centred, inclusive, accessible and participants will be expected to operate as a connected cohort of like-minded people ready to build a better society.
Structure
You must complete four units from the following (24 credit points). Note: You must complete either ETC5550 or ETF5231.
You must complete 48 credit points, comprising: - 36 credit points (five units) from the following list, and - 12 credit points (two units) chosen from the specified discipline electives.
You must complete 24 credit points at Level 5 from the Faculty of Business and Economics or across the University providing you have met the prerequisites and there are no restrictions on enrolling in the units. Note: It is recommended that you complete electives from the following list.
- FIT9132Introduction to databases⤳
- FIT5212Data analysis for semi-structured data⤳
- ETC5410Bayesian inference and data analysis⤳
- ETF5480Decision modelling for business⤳
- FIT9136Introduction to Python programming⤳
- ETF5248Optimisation for business⤳
- FIT5147Data exploration and visualisation⤳
- MAT9004Mathematical foundations for data science and AI⤳
- FIT5237Responsible digitalisation⤳