MIS710 - Machine Learning in Business
Year: | 2025 unit information |
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Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Prerequisite: | Nil |
Corequisite: | Nil |
Incompatible with: | Nil |
Study commitment | Students will on average spend 150 hours over the trimester period undertaking the teaching, learning and assessment activities. This will include educator guided online learning activities within the unit site. |
Scheduled learning activities - campus | 1 x 1.5 hour on-campus (live-streamed) lecture (recordings provided) and 1 x 1.5 hour on-campus seminar each week |
Scheduled learning activities - online | 1 x 1.5 hour recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week |
Note: | ^GIFT City (India) offering is available to students enrolled at the GIFT City (India) campus only. |
Content
Machine Learning allows computers to learn from hidden patterns in big data to quantitatively support business decisions. In this unit, we will cover a large range of methods and algorithms that learn from big data, allowing decision makers to view previously hidden patterns and relationships and build suitable models to support business decision making.
In this unit, students will be introduced to fundamental programming concepts required by business professionals to work with machine learning concepts. This unit introduces machine learning techniques using software package Python, where the emphasis will be on solving business problems using the analysis of business data.
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.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current Students website.