Go to Courses and units

Data Analysis for Business unit (BEA140)

2027 Unit information is now available. View 2027 unit information

Location: Cradle Coast, Melbourne Study Centre, Hobart, Hong Kong Universal Ed, Launceston, Online, Shanghai Ocean University

Introduction

BEA140 Data Analysis for Business is a foundation unit in business statistics and the mathematics of finance, and is a core unit in the Bachelor of Economics (BEc) and Bachelor of Business (BBus) degrees. It is also a nominated elective in a wide range of other programs throughout the University of Tasmania.

This unit is intended to provide a background capacity in mathematics of finance and statistical description and analysis, appropriate for a business student. The unit also includes an introduction to the basic use of tools such as Excel as an aid to analysis and presentation. The focus of the unit is on the practical use of data in business and economic decision environments, especially in an environment of risk and uncertainty.

The unit is an introduction to the exciting world of applying mathematics and statistics to business problems. By studying a variety of examples based on real world problems, the unit highlights the application of quantitative methodologies to assist managers, and decision makers, in dimensioning and communicating risks and opportunities.

Summary

Unit name Data Analysis for Business
Unit code BEA140
Credit points 12.5
College/School Tasmanian School of Business and Economics
Discipline Economics|Mathematics
Coordinator Associate Professor Mala Raghavan
Available as an elective? Yes
Delivered By University of Tasmania and Third Party(ies): ECA|Shanghai Ocean University AEIN Institute|Universal College of Higher Education Hong Kong
Level Introductory

Availability

Location Study period Attendance options Available to
Cradle Coast Semester 2 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
Melbourne Study Centre Semester 2 This unit is available through on-campus delivery Available to International Students
Hobart Semester 2 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
Hong Kong Universal Ed Semester 2 This unit is available through on-campus delivery Available to International Students
Launceston Semester 2 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
Online Semester 2 This unit is available through off-campus delivery Available to International Students Available to Domestic Students
Shanghai Ocean University Shanghai Semester 1 This unit is available through on-campus delivery Available to International Students
  • Key:
  • This unit is available through on-campus delivery On-campus
  • This unit is available through off-campus delivery Off-Campus
  • Available to International Students International students
  • Available to Domestic Students Domestic students
Note

Enrolment in units available at ECA Melbourne, Hong Kong Universal Ed, and Shanghai Ocean University is only available to eligible students studying at those corresponding locations.

Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period Start date Census date WW date End date
Shanghai Semester 1 11/10/2026 16/11/2026 24/11/2026 7/1/2027
Semester 2 5/7/2026 27/7/2026 30/8/2026 24/10/2026

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2026 are indicative and subject to change. Finalised census dates for 2026 will be available from the 1st October 2025. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Apply basic statistical concepts to common situations in business and economics.
  • Inform and communicate evidence-based decisions using data description and probability concepts
  • Draw conclusions and communicate properties about sample populations
  • Quantify an association between two variables, explain variation and improve outcome prediction.

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
010103 $592.00 $592.00 not applicable $2,919.00
  • Available as a Commonwealth Supported Place
  • HECS-HELP is available on this unit, depending on your eligibility3
  • FEE-HELP is available on this unit, depending on your eligibility4

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

XPD105

Teaching

Teaching Pattern

There are 2-hour on campus and 1 hour online workshop weekly, commencing from week 1.

AssessmentOnline Skill Checks (20%)|Assignment (40%)|Examination (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

There are no prescribed texts for this unit. Lecture notes and other reading materials are available via MyLO. Additional material, including videos, will also be available on MyLO.

Recommended

You may find it useful to consult alternative references as part of your study program. You may wish to take advantage of one of these as an additional source of worked examples, and for an alternate presentation of the material:

  • Illowsky, B., & Dean, S. (2013). Introductory Statistics 2e. OpenStax.. The pdf version can be found here: https://commons.erau.edu/cgi/viewcontent.cgi?article=1005&context=oer-textbook
  • Wasserman, Larry. All of statistics: a concise course in statistical inference. Vol. 26. New York: Springer, 2004. The ebook can be downloaded here: http://61.2.46.60:8088/jspui/bitstream/123456789/287/1/A%20Concise%20Course%20in%20Statistical%20Inference%20%28Springer%20Texts%20in%20Statistics%29.pdf
  • Bruce, Peter, Andrew Bruce, and Peter Gedeck. Practical statistics for data scientists: 50+ essential concepts using R and Python. O'Reilly Media, 2020. The pdf version can be downloaded here: https://vistacompany.ir/wp-content/uploads/2025/04/Practical-Statistics-for-Data-Scientist.pdf

 

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.