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
2016 • Semester 1
4

a good subject and needs handwork .

A
Anonymous
2016 • Semester 1
4

Decent unit. Scott's absolutely the best tutor but he's graduating T_T

A
Anonymous
2016 • Semester 2
4

Engaging lecturer and my tutor was a life saver. Content on slides can get a bit dry but I found tutorials extremely useful to understand the concepts and work through problems in class.

A
Anonymous
2016 • Semester 2
4

I did this subject in the second semester of my first year. It is a good subject overall and you learn a range of very useful and applicable concepts. IT can be tricky at times trying to figure out how to go about some things though given a lack of clarity in some of the material. Its really important to try and find a good tutor for this one.

A
Anonymous
2015 • Semester 1
4

It is a difficult unit if you do not have a strong grasp on mathematics, but there are many supporting resources available to assist those students. It has real-world relevance and is generally interesting as an introductory statistics course based in the business world. The content is not actually that difficult but one must have a firm grasp on the subject before it becomes easy. Overall the unit is a good introduction to statistics and the assessments are generally fair.

PreviousPage 4 of 7Next

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