Business Analytics [MJD-BUSAN] : Handbook 2025 : The University of Western Australia

Major Overview

Description

This major is for students who wish to develop their knowledge and skills in data analysis within a business context. Students will be given both statistical and computing analytic skills, but will also learn how to apply that to a range of commercial and economic situations. Students will also gain the written and oral communication skills necessary to impart their analysis to a range of business stakeholders.

Outcomes

Students are able to:

demonstrate a core understanding of a range of statistical and data analysis techniques across a range of commercial and economic functions
critically analyse and question data analysis in a business context
communicate data analysis to both technical and non-technical audiences using both written and oral communications
demonstrate effective team work skills
demonstrate reflective learning skills
discuss ethical issues surrounding the collection and use of data, as well as other data-related cultural, social and sustainability.

Broadening guidelines

All students studying towards a Bachelor's Degree at UWA are required to Broaden their studies by completing a minimum of four units (24 points) of study outside their degree specific major. Broadening is your opportunity to explore other areas of interest, investigate new disciplines and knowledge paradigms and to shape your degree to suit your own aspirations and interests. Many of you will be able to undertake more than this minimum amount of broadening study and we encourage you to do so and to pursue as many areas of interest as you can during your course of study. At the same time, we k now that many of you value the University's guidance and assistance in planning your enrolment throughout your course, so we offer the following suggestions for your consideration as possible avenues to broaden your degree. Do always remember, however, that there is no wrong way to broaden your studies as long as you complete at least four units not associated with your Degree Specific Major.

Prerequisites

None

Corequisite

None

Incompatibilities

None

Courses

Business Analytics can be taken as a degree-specific major in the following degree courses:

No study plans found for this major. See study plans for more information.

Units

Key to availability of units:

S1: Semester 1
S2: Semester 2
N/A: not available in 2025 – may be available in 2026 or 2027
NS: non-standard teaching period

Level 1

Degree-specific major units

Take all units (12 points):

Availability	Unit code	Unit name	unit requirements
S1, S2	CITS1401	Computational Thinking with Python	Prerequisites Successful completion of Mathematics Methods ATAR or equivalent or MATH1721 Mathematics Foundations: Methods or MATX1721 Mathematics Foundations or Enrolment in 62510 Master of Information Technology or 62530 Master of Data Science or BH011 Bachelor of Engineering (Honours) Incompatibility CITS2401 Computer Analysis and Visualisation
S1, S2	STAT1520	Economic and Business Statistics	Prerequisites Mathematics Applications ATAR or MATH1720 Mathematics Fundamentals or MATX1720 Mathematics Fundamentals or ECON1111 Quantitative Methods for Business and Economics or equivalent Incompatibility STAT1400 Statistics for Science or STAX1400 Statistics for Science

Bridging units

Take units if applicable:

Students who have not completed Mathematics Method or equivalent will need to take the following bridging units(s)

Availability	Unit code	Unit name	unit requirements
S1	ECON1111	Quantitative Methods for Business and Economics	Prerequisites Mathematics Applications (ATAR) or WACE Mathematics 2C/2D or TEE Discrete Mathematics or MATH0700 Preparatory Mathematics Incompatibility Mathematics Methods (ATAR) or higher. WACE Mathematics 3A/3B or higher. TEE Applicable Mathematics. TEE Calculus. or MATH1701 Introductory Mathematics Foundations

Level 2

Following completion of Level 1 units, the major broadens into two main study areas: Economic and Financial Analytics: FINA2205 (extra pre-requisite in FINA1221), FINA2207, ECON3371, ECON3206; Management and Marketing Analytics: CITS2402, MKTG2305, MKTG3307, MKTG3308, BUSN3001. Students who wish to study CITS4012 Natural Language Processing in Honours in Business Analytics need to complete CITS2402.

Degree-specific major units

Take all units (12 points):

Availability	Unit code	Unit name	unit requirements
S2	BUSN2001	Data Storytelling for Business	Prerequisites Successful completion of 48 points and Successful completion of STAT1520 Economic and Business Statistics or equivalent Incompatibility BUSN5003 Data Storytelling
S1	ECON2271	Introductory Econometrics	Prerequisites STAT1520 Economic and Business Statistics or STAX1520 Economic and Business Statistics or ECON1111 Quantitative Methods for Business and Economics

Degree-specific major units

Take unit(s) to the value of 6 points:

Availability	Unit code	Unit name	unit requirements
S2	CITS2402	Introduction to Data Science	Prerequisites CITS1401 Computational Thinking with Python or CITX1401 Computational Thinking with Python or CITS2401 Computer Analysis and Visualisation
S1	FINA2205	Practical Finance Analytics	Prerequisites STAT1520 Economic and Business Statistics or equivalent or STAX1520 Economic and Business Statistics and FINA1221 Introduction to Finance or equivalent or FINX1221 Introduction to Finance or equivalent
S1	FINA2207	Business Analysis and Valuation	Prerequisites Successful completion of FINA1221 Introduction to Finance , or enrolment in MJD-BUSAN Business Analytics. or FINX1221 Introduction to Finance Incompatibility ACCT3302 Financial Statement Analysis
S1	MKTG2305	Marketing Research	Prerequisites Successful completion of MKTG1203 Introduction to Marketing or MKTX0203 Introducing Marketing Incompatibility MKTG3305 Marketing Research

Level 3

Degree-specific major units

Group A—take unit(s) to the value of 12 points:

Availability	Unit code	Unit name	unit requirements
S1	ECON3371	Applied Econometric Methods and Data Analysis	Prerequisites ECON2271 Introductory Econometrics
S2	MKTG3307	Digital Marketing	Prerequisites any Level 2 Marketing unit
S1	MKTG3308	Marketing Analytics	Prerequisites Successful completion of any one level 2 Marketing unit for students enrolled in Business Analytics Major or any two level 2 Marketing units
S1	STAT3406	Applied Statistics and Data Visualisation	Prerequisites Course Enrolment in the MJD-QTMTD Quantitative Methods major or the MJD-HSDEM Human Sciences and Data Analytics major or the MNR-ASTAT Applied Statistical Learning minor and STAT2401 Analysis of Experiments and STAT2402 Analysis of Observations or STAT2062 Fundamentals of Probability with Applications Incompatibility STAT4064 Applied Predictive Modelling

Degree-specific major units

Group B—take unit(s) to the value of 6 points:

Capstone experience

Availability	Unit code	Unit name	unit requirements
S2	BUSN3001	Business Development Project	Prerequisites Enrolment in BP009 Bachelor of Business or Enrolment in MJD-BUSAN Business Analytics or MJS-BMGMT, MJS-GLBUS or MJS-ENTIN and Successful completion of 96 points Incompatibility WILG3001 Professional Experience Practicum
N/A	ECON3206	Economic Analysis Project	Prerequisites Successful completion of 96 points and Enrolment in BP013 Bachelor of Economics or CM002 Bachelor of Economics and Master of Economics or MJD-BUSAN Business Analytics
NS, S1, S2	WILG3001	Work Integrated Learning Internship Program	Prerequisites Successful completion of 48 points and Enrolment in BP009 Bachelor of Business or BP013 Bachelor of Economics or MJD-BUSAN Business Analytics or MJD-POLSC Political Science and International Relations or MJD-LINGO Linguistics or MJD-CRMDM Criminology and Criminal Justice or MNR-CRWRS Creative Writing Studies and a successful application for the WIL Placement Program Incompatibility BUSN3348 Business Practicum or HUMA2901 Arts Practicum or POLS3326 Political Science Internship or WILG2201 Professional Experience Practicum or PARL3399 WA Parliamentary Research Program.

UWA Handbook 2025