Courses & Units

Data Analysis for Business BEA140


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.


Unit name Data Analysis for Business
Unit code BEA140
Credit points 12.5
College/School College of Business & Economics
Tasmanian School of Business and Economics
Discipline Economics|Mathematics
Coordinator Doctor Maria Yanotti
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


Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic
Launceston Accelerated Study Period 2 On-Campus International Domestic
Cradle Coast Accelerated Study Period 2 On-Campus International Domestic
Online Semester 2 Off-Campus International Domestic
Online Accelerated Study Period 2 Off-Campus International Domestic
Hong Kong Universal Ed Semester 2 On-Campus International


International students
Domestic students

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.

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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
Accelerated Study Period 2 27/5/2024 19/6/2024 11/7/2024 25/8/2024
Semester 2 22/7/2024 16/8/2024 9/9/2024 27/10/2024

* 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 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Apply basic concepts of time valuation of money to common situations in business/personal finance
  • 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

The 2024 Commonwealth Supported Place (CSP) rates are still being finalised by the Government and we will update the domestic fee information as soon as we have more details.


Mutual Exclusions

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



AssessmentOnline Skill Checks (18%)|Examination (20%)|Assignment (30%)|Online Test (32%)
TimetableView the lecture timetable | View the full unit timetable



There are no prescribed texts for this unit. Lecture overviews for Modules 1 to 4 are available via MyLO. Additional material, including videos, will also be available on MyLO.


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:

  • Aczel, A 2007, Complete business statistics, 6th edn, McGraw-Hill, Noida.
  • Berenson, M, Levine, D  & Krehbiel, T  2012,  Basic business statistics, 12th edn, Prentice Hall, New Jersey
  • Black, K 2014, Business Statistics: For Contemporary Decision Making, 7th Edition, Wiley
  • Croucher, J  2001, Statistics: making business decisions, McGraw-Hill, Maidenhead.
  • Selvanathan et al 2014, Business statistics – abridged : Australia New Zealand, 6th edn, Cengage, Sydney.
  • Waters, D 2011, Quantitative methods for business, 5th edn, Prentice Hall, Edinburgh Gate.

NB – Other editions of these references are also acceptable. You should note that notation may vary between references, and that, in some cases, even different formulae may be used. You should not concern yourself with any material covered in these references that is beyond what is covered by the lecture notes. In all cases, the lecture notes should be considered the primary reference for any topic.

LinksBooktopia textbook finder

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