Applied Optimisation in Business
PostgraduateTUA-BANASD6032026
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 6 Sept 2026
- Entry requirements
- Part of a degree
- Duration
- 12 weeks
- Start dates
- 14 Sept 2026
- Price from
- $3,813
- Upfront cost
- $0
- Loan available
- FEE-HELP available
Applied Optimisation in Business
About this subject
By the end of this 12-week subject, you'll be able to:
- Analyse business problems to select suitable machine learning model.
- Appraise how modelling techniques improve data-driven and model-driven performance in solving business problems.
- Critique the selection of machine learning models to solve a business problem.
- Apply machine learning techniques to enhance business decision making and communicate the findings to expert and non-expert stakeholders.
- A guide to the topics you will explore in this subject will be provided in your study materials.
Machine Learning excels at making predictions, but should business always rely on predictions to guide decision making? In this subject, you will learn how to improve decision-making by assessing machine learning models through the lens of business problem formulation. Gain knowledge of model-driven optimisation techniques like linear programming, genetic algorithms, and simulations, and how to assess key data-driven optimisation strategies to improve model performance. You will apply both sets of techniques to real-world business problems using stateof-the-art industry tools.
- Problem and dataset (25%)
- Model set up and certification preparation (30%)
- Model demonstration and certification (45%)
For textbook details check your university's handbook, website or learning management system (LMS).
At Torrens University Australia you can tailor your study to suit your lifestyle.
Thanks to their innovative digital learning system you’ll gain the ultimate in flexibility, and still receive personalised guidance from academics and access to work placement, mentorship and internship opportunities. Online you can attend live classes or view recorded sessions, connect with lecturers and fellow students, and access content on-demand 24/7.
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Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Elective
- TUA-ANA-GCE-2026 - Graduate Certificate of Analytics
- TUA-CBA-GCE-2026 - Graduate Certificate of Business Administration
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following courses
Graduate Certificate of Analytics
PostgraduateTUA-ANA-GCE
Graduate Certificate of Business Administration
PostgraduateTUA-CBA-GCE