Unit Overview
- Description
This unit equips students with practical, industry-relevant skills to apply machine learning techniques to predictive modeling for structured data and other common data types in business analytics. It focuses on business applications rather than abstract theory. Students will learn to evaluate models using business-focused metrics and to translate analytical findings into actionable recommendations for managerial audiences.
- Credit
- 6 points
- Offering
Availability Location Mode First year of offer Not available in 2026 UWA (Perth) On-campus - Details for undergraduate courses
- Level 2 elective
- Outcomes
Students are able to (1) frame common business problems as appropriate machine learning tasks by identifying the decision context, prediction or classification objective, relevant data, target variable, features and success criteria; (2) prepare, transform, and document structured business data for introductory machine learning analysis using reproducible programming workflows; (3) compare selected supervised and unsupervised machine learning methods for common business use cases; (4) evaluate model performance and trade-offs using appropriate statistical measures and business-relevant criteria; and (5) communicate model results, limitations, ethical risks and recommendations to managerial audiences.
- Assessment
Indicative assessments in this unit are as follows: (1) weekly practical labs; (2) project; and (3) final exam. Further information is available in the unit outline.
Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.
- Unit Coordinator(s)
- TBA
- Unit rules
- Prerequisites
- Successful completion of
- Contact hours
- 3 hours per week
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.