MAF759 - Financial Data Analytics
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Cohort rule: | This unit is only available to students enrolled in D712, M530, M535, M630, M720, M750, M755, M794 |
| Prerequisite: | Nil |
| Corequisite: | Nil |
| Incompatible with: | MAF904 |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Scheduled learning activities - campus | 1 x 3 hour on-campus seminar (recordings provided) each week |
| Scheduled learning activities - online | 1 x 2 hour recorded lecture and 1 x 1 hour online seminar (recordings provided) each week |
Content
This unit will enable students to understand the fundamental data analytical methods and tools used in finance. It introduces financial mathematical concepts, statistics and econometrics that are essential tools for financial data analytics. In addition, the unit covers an introduction of machine learning and big data as well as numerical techniques and data visualisation skills using Excel and Tableau to facilitate practical business decision making.
Hurdle requirement
Hurdle requirement: achieve at least 50% of the marks available on the end-of-unit assessment to evidence a minimum proficiency in the aligned finance discipline learning outcomes included in this unit.
Unit Fee Information
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
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