Courses & Units

Data and Business Decision Making BEA674

Introduction

Managers need an understanding of statistics for five key reasons: to properly collect, present, describe and interpret information; to draw valid conclusions from incomplete data - typically about large populations based only on information obtained from samples; to obtain reliable forecasts; to improve business processes and; to provide a framework for dealing with risk and uncertainty. These five reasons form the basis of the structure and content of Data and Business Decision Making. The use of mathematics and arithmetical calculations are kept to a minimum for selected topics by using the Microsoft Excel spreadsheet package. The unit focusses on the interpretation and application of the various techniques studied.

Summary

Unit name	Data and Business Decision Making
Unit code	BEA674
Credit points	12.5
College/School	College of Business & Economics Tasmanian School of Business and Economics
Discipline	Finance
Coordinator	Doctor Moses Kangogo
Delivered By	University of Tasmania and Third Party(ies): ECA
Level	Postgraduate

Availability

Location	Study period	Attendance options		Available to
Hobart	Semester 1	On-Campus		International	Domestic
Hobart	Semester 2	On-Campus		International	Domestic
Online	Semester 1		Off-Campus	International	Domestic
Online	Semester 2		Off-Campus	International	Domestic
ECA Melbourne	Semester 1	On-Campus		International

Key

: On-campus
: Off-Campus
: International 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.

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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
Semester 2	22/7/2024	16/8/2024	9/9/2024	27/10/2024
Semester 1	26/2/2024	22/3/2024	15/4/2024	2/6/2024

* 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

Illustrate how key statistical concepts apply to business environments.
Appraise and apply various statistical techniques to critically analyse a range of business problems.
Organise and communicate statistical findings to provide relevant recommendations for business decision making.

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
020303	$1,118.00	$1,118.00	not applicable	$2,979.00

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 UConnect 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

Prerequisites

N/A

Mutual Exclusions

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

BEA681 AND BEA654

Teaching

Teaching Pattern	There will be an introductory one (1) hour workshop in week 1 for the face-to-face students. Students (face to face and online) will need to attend FOUR (4) three-hour workshops during the semester. Details about the date, time and location of these workshops can be accessed from the University of Tasmania Class Timetable which can be viewed at http://student.admin.utas.edu.au/coursesenrolment/timetable/ Lectures are delivered via recordings. These will be updated weekly on MyLo Lecture notes will be uploaded to MyLO in advance for students to prepare for the upcoming lectures. Please note that lecture notes may be incomplete, for example, spaces will be left as students are expected to draw important diagrams by yourselves and/or solutions for example questions. By filling in these spaces during the lectures, you will consolidate your understanding of the concepts we discuss.
Assessment	Group Assignment (30%)\|Online Test (30%)\|Examination (40%)
Timetable	View the lecture timetable \| View the full unit timetable

Teaching Pattern

There will be an introductory one (1) hour workshop in week 1 for the face-to-face students.

Students (face to face and online) will need to attend FOUR (4) three-hour workshops during the semester.

Details about the date, time and location of these workshops can be accessed from the University of Tasmania Class Timetable which can be viewed at
http://student.admin.utas.edu.au/coursesenrolment/timetable/

Lectures are delivered via recordings. These will be updated weekly on MyLo
Lecture notes will be uploaded to MyLO in advance for students to prepare for the upcoming lectures. Please note that lecture notes may be incomplete, for example, spaces will be left as students are expected to draw important diagrams by yourselves and/or solutions for example questions. By filling in these spaces during the lectures, you will consolidate your understanding of the concepts we discuss.

Assessment

Group Assignment (30%)|Online Test (30%)|Examination (40%)

Timetable

View the lecture timetable | View the full unit timetable

Textbooks

Required	Levine, D., Stephan, D. and Szabat, K. (2020). Statistics for Managers Using Microsoft Excel. 9th ed. New Jersey: Prentice Hall, Upper Saddle River.
Recommended	Bowerman, B., O'Connel, R. and Murphree, E. (2011). Business Statistics in Practice. 6th ed. New York: The McGraw-Hill Companies Inc. 1221 Avenue of the Americas. McClave, T., Benson, G. and Sincich, T. (2005). Statistics for Business and Economics. 9th ed. New Jersey: Prentice Hall, Upper Saddle River
Links	Booktopia textbook finder

Required

Levine, D., Stephan, D. and Szabat, K. (2020). Statistics for Managers Using Microsoft Excel. 9th ed. New Jersey: Prentice Hall, Upper Saddle River.

Recommended

Bowerman, B., O'Connel, R. and Murphree, E. (2011). Business Statistics in Practice. 6th ed. New York: The McGraw-Hill Companies Inc. 1221 Avenue of the Americas.

McClave, T., Benson, G. and Sincich, T. (2005). Statistics for Business and Economics. 9th ed. New Jersey: Prentice Hall, Upper Saddle River

Links

Booktopia textbook finder

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