Business Analytics

BUSS1020

Quantitative Business Analysis

3.9
35 verified reviews
Credit Points
6
Session
2026 Sem 1
Location
Camperdown/Darlington
Attendance
Normal
Unit Overview
All graduates from the BCom need to be able to use quantitative techniques to analyse business problems. This ability is important in all business disciplines since all disciplines deal with increasing amounts of data, and there are increasing expectations of quantitative skills. This unit shows how to interpret data involving uncertainty and variability; how to model and analyse the relationships within business data; and how to make correct inferences from the data (and recognise incorrect inferences). The unit will include instruction in the use of software tools (primarily spreadsheets) to analyse and present quantitative data.

Requirements

Prohibitions
ECMT1010 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or STAT1021 or ENVX1001 or ENVX1002 or DATA1001 or DATA1901

Unit Reviews

A
Anonymous
2023 • Semester 1
4

Good support from the teaching team. Homework can be tedious but is definitely manageable. Content can be trick at times but if you put some work it you will pick it up pretty quickly. Mid-sem and final were multiple choice.

A
Anonymous
2019 • Semester 1
5

Great subject

A
Anonymous
2018 • Semester 1
2

Was interesting, but final assessment is a bit ridiculous

A
Anonymous
2017 • Semester 1
2

Pretty disappointed by the way this subject was run. Exam marking is pretty inconsistent as certain markers can be lenient while others are extremely harsh (the unit coordinator even implicitly admitted this). Some review questions for exams are provided, however the format of these are often very different from that of the exams. The practice questions for the final exams were mostly just the questions on the lecture slides.

A
Anonymous
2017 • Semester 1
2

In my case both lecturer and tutor were foreigners (China), and their lack of Australian accents makes it extremely difficult to comprehend what they're trying to say to you, ended up watching all the lecture recording by Gerlack. Also, because a large majority of students doing this unit are foreigners, and their math skills are better than us locals, these foreign lecturers and tutors skim over critical content that we can't understand because they assume that we have already learnt it,. Makes life a lot harder, especially when cramming right before exams because you get nothing out of weekly classes. Coming from a Band 6 2U and 3U maths student.

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Semester Roadmap

W01
Introduction to DataLecture
Introduction to DataWorkshop
W02
Numerical descriptive measuresLecture
Numerical descriptive measuresWorkshop
W03
Basic probabilityLecture
Basic probabilityWorkshop
W04
Discrete probability distributionsLecture
Discrete probability distributionsWorkshop
W05
Continuous probability distributionsLecture
Continuous probability distributionsWorkshop
W06
Sampling distributionsLecture
Sampling distributionsWorkshop
W07
Confidence intervalsLecture
Confidence intervalsWorkshop
W08
One-sample testsLecture
One-sample testsTutorial
W09
Two-sample testsLecture
Two-sample testsWorkshop
W10
Linear regression 1Lecture
Linear regression 1Workshop
W11
Linear regression 2Lecture
Linear regression 2Workshop
W12
Multiple regressionLecture
Multiple regressionWorkshop

Support

Teaching Staff

Bernard Conlon
bernard.conlon@sydney.edu.au
Coordinator

Assessments

Final Exam
40%
Formal exam period
Written examAI prohibited
Homework A-C (EFT)
5%
Multiple weeks
Out-of-class quizAI allowed
Homework D-K
10%
Multiple weeks
Out-of-class quizAI allowed
In-semester test
20%
19 Apr 2026 at 12:10
Written testAI prohibited
Assignment
25%
Week 13
Data analysisAI allowed