MHMonash Hub

Units / FIT3158

FIT3158 · Business decision modelling

Official Handbook

2026 Handbook6 credit pointsLevel 3Faculty of Information Technology

Last checked: 23 Aug 2026 UTC

Overview

The objective of this unit is to introduce you to quantitative modelling techniques commonly used for business decision making. This includes the analytical methods used to understand, model and design business processes, and the application of IT tools to real-world decision making situations. Techniques covered include decision making under uncertainty, linear and nonlinear programming, sequential decision making, forecasting, and simulation. On completion of this unit, you are expected to recognise a complex decision making situation and to build a corresponding quantitative model. You are also expected to solve the model by applying techniques covered in this unit, to interpret results and finally, to provide 'analyst-type' recommendations. The unit includes extensive use of advanced modelling tools available in Microsoft Excel. You will also be made aware of simulation software as a tool for analysing business processes.

Areas of study: Business information systems

Offerings

CampusTeaching periodMode
ClaytonSecond semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
1Online QuizzesQuiz / Test2%
2Assignment 2Exercise30%
2Assignment 1Exercise18%
4Scheduled Final Assessment (2 hours and 10 minutes)Examination50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prohibitions

Joined by OR.

prerequisite

  • ETC1000 — Business and economic statistics
  • ETF1100 — Business statistics
  • ETS1102 — Business statistics
  • FIT1006 — Business information analysis
  • STA1010 — Statistical methods for science
  • FIT2086 — Modelling for data analysis

Joined by OR.

Learning outcomes

  1. Develop interactive decision models for business analysis and business process improvements;
  2. Design and implement and analyse spreadsheet-based simulations and mathematical optimisation models;
  3. Interpret the results of mathematical decision models and conduct sensitivity analyses;
  4. Critically assess the accuracy and applicability of modelling techniques;
  5. Communicate the results of model-based decision analysis.

Workload

Applied sessions start from Week 2. Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

ActivityDuration
Seminars24 hours
Applied sessions22 hours

Ask about FIT3158

Answered from the Handbook fields above — no AI, no guessing. Every answer links back to the source.

Community discussions about FIT3158

Community

Student experience, not official rules. Nothing here changes what the Handbook says.

No discussions yet

Be the first to share what this unit was actually like.

Monash HubAn independent student platform

Monash Hub is an independent student information platform and is not affiliated with or endorsed by Monash University. Always confirm enrolment, graduation, visa and academic policy decisions through the Monash website, Handbook, Moodle or WES.