Key facts

UNE unit code: QM262

*You are viewing the 2026 version of this unit which may be subject to change in future.

Start
  • Trimester 2 - On Campus
  • Trimester 2 - Online
Campus
  • Armidale Campus
  • UNE Sydney Campus
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • Yes
Credit points
  • 6

Unit information

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Businesses today have access to vast amounts of data on virtually every aspect of their operations and finances. People having the skills to translate this information into useful, actionable intelligence are highly prized in any workplace.

Studying this unit will extend your knowledge of a variety of business analytics techniques that can be applied to assist with decision making.

Building on the materials from your introductory business statistics unit, you will explore elements of descriptive analytics, inferential analytics and predictive business analytics.

You will hone your skills in exploring data, analysing probability and decision-making under uncertainty, statistical inference, regression analysis and time-series forecasting.

You will also examine the fundamentals of optimisation modeling and data mining.

Throughout this unit, you will use a software environment suitable for business analytics.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Trimester 2On Campus, Armidale Campus
Trimester 2On Campus, UNE Sydney Campus
Trimester 2Online

*Offering is subject to availability

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
QM161 or QM461
Restrictions
QM162
Combined units

Notes

To study this unit on campus at the UNE Sydney Campus you must be admitted to your course as an on campus student at the UNE Sydney Campus.

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

profile photo of Carolyn Tran
Carolyn TranSenior Lecturer - Faculty of Science, Agriculture, Business and Law; UNE Business School

Learning outcomes

Upon completion of this unit, students will be able to:

  1. critically analyse the role of business analytics in supporting decision making in a modern organization;
  2. understand and assess the different business analytics techniques and their applicability to a variety of decision making requirements in diverse contexts; and
  3. apply and evaluate appropriate statistical tools and software to analyze data to support business decision making.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Assignment 1Yes15%All offerings

Problem solving and computation, practical and data-based analytics.

Assignment 2Yes15%All offerings

Problem solving and computation, practical and data-based analytics.

Final Examination - Assurance TaskYes50%All offerings

There is a supervised exam during the teaching period in which you are enrolled. The exam will be offered online with supervision via webcam and screen sharing technology. Coordinated by UNE Exams Unit.

Students must obtain at least 50% in the examination (and at least 50% overall) to receive a pass or better in the unit.

Online AssessmentNo20%All offerings

Four Quizzes each worth 5%. Multiple-choice questions.

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Note: Students are expected to purchase prescribed material. Please note that textbook requirements may vary from one teaching period to the next.

Statistics for Managers Using Microsoft Excel, Global Edition + PHStat Access Kit for Statistics

ISBN: 9780655798583

Levine, D. M., Stephan, D. F. and Szabat, K. A., Pearson 9th ed. (Global Edition) 2021

Note: An eBook version of this textbook is also available (ISBN: 9781292338309).

Text refers to: All offerings

Note: Referenced material may be held in the University Library — purchase is optional.

Business Analytics, Global Edition

ISBN: 9781292339061

Evans, J. R., Pearson 3rd ed. 2020

Note: An eBook version of this textbook is also available (ISBN: 9781292339047).

Text refers to: All offerings

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