Quantitative Methods in Commerce (11165.3)

Please note these are the 2026 details for this unit
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Quantitative Methods in Commerce
Available teaching periods Delivery mode Location
View teaching periods On-campus
Online self-paced
 UC College, Bruce, ACT
Bruce, Canberra
EFTSL Credit points Faculty
0.125 3 Faculty Of Business, Government & Law
Discipline Study level HECS Bands
Canberra Business School Level 1 - Undergraduate Introductory Unit Band 1 2021 (Commenced After 1 Jan 2021)
Band 1 2021 (Commenced Before 1 Jan 2021)
This unit is designed to provide basic quantitative skills which are an essential foundation to decision-making and professional advice in a range of business situations. Upon completion of this unit students should be able to apply the quantitative tools presented so that they are able to analyse, understand, explain and evaluate data related to market events, government policies and business decision-making. The unit content includes working with equations and graphs, quantitative research principles in collecting, summarising and displaying business data, index numbers, relations in quantitative and categorical data, measures of association, regressions, elementary probability concepts, the normal distribution and its business applications. Students will carry out these techniques manually and/or through spreadsheets.

Learning outcomes

After successful completion of this unit, students will be able to:
1. Demonstrate the ability to solve a range of business problems by synthesising, organising, analysing and interpreting data;
2. Clearly communicate to stakeholders the implications of the results of various techniques applied. Identify and articulate the potential impacts of assumptions made and limitations of the techniques;
3. Demonstrate how the techniques covered in the unit can be used to assist in solving problems in business, economics and finance;
4. Explain how data is sampled, collected and presented using a range of summary measures;
5. Select appropriate quantitative techniques to resolve unfamiliar problems in business, finance and economics; and
6. Apply forecasting methods in business, economics and finance problems.


Graduate attributes

1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - communicate effectively
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems


Prerequisites

None.

Corequisites

None.

Incompatible units

None.

Equivalent units

5123 Business Statistics

Assumed knowledge

Basic mathematics approximately to Year 10 standard.
Availability for enrolment in 2026 is subject to change and may not be confirmed until closer to the teaching start date.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2025 UC College, Bruce, ACT UC College Trimester 1 03 February 2025 On-campus Mr Saeed Uz Zaman Khan
2025 Bruce, Canberra Semester 1 03 February 2025 On-campus Dr Jinjing Li
2025 Bruce, Canberra Semester 1 03 February 2025 Online self-paced Dr Jinjing Li
2025 Bruce, Canberra Semester 2 28 July 2025 On-campus Dr Xiaodong Gong
2025 Bruce, Canberra Semester 2 28 July 2025 Online self-paced Dr Xiaodong Gong
2025 UC College, Bruce, ACT UC College Trimester 3 15 September 2025 On-campus Mr Saeed Uz Zaman Khan
2026 Bruce, Canberra Semester 1 16 February 2026 Online self-paced Prof Lorne Cummings
2026 Bruce, Canberra Semester 1 16 February 2026 On-campus Prof Lorne Cummings
2026 UC College, Bruce, ACT UC College Trimester 1 02 March 2026 On-campus Mr Saeed Uz Zaman Khan
2026 Bruce, Canberra Semester 2 10 August 2026 Online self-paced Dr Xiaodong Gong
2026 Bruce, Canberra Semester 2 10 August 2026 On-campus Dr Xiaodong Gong
2026 UC College, Bruce, ACT UC College Trimester 3 26 October 2026 On-campus Mr Saeed Uz Zaman Khan
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit timetable.

Required texts

Main textbook (required):
               Title: Business Analytics and Statistics, 2nd Edition
               Publisher: John Wiley and Sons Australia
               Author: Black et al
               ISBN: 9780730363330

Recommended reference:
              Title: Business Analytics and Statistics Abridged Australia/New Zealand, Edition 8
              Publisher: Cengage Learning Australia
              Author: Selvanathan et al
              ISBN-10: 0170439542 or ISBN-13: 9780170439541

Submission of assessment items

Extensions & Late submissions

Artificial intelligence

Students are not permitted to use generative artificial intelligence (GenAI) in assessments for this unit.

GenAI may only be used in authorised ways when completing assessments at UC. This means that GenAI can only be used for an assessment when:

  1. the Unit Convener has authorised GenAI use for that assessment
  2. the student uses GenAI in the way that the assessment instructions allow
  3. the student fully acknowledges their use of GenAI, with proper citations, references and a GenAI Acknowledgement Statement in line with the assessment instructions.

Where the assessment instructions do not specifically state that GenAI may be used and how, then its use is not permitted for that assessment. Students must still provide the required GenAI Acknowledgement Statement to indicate whether GenAI has or has not been used in the preparation of the assessment. If unsure, students should seek advice from the Unit Convener.

The GenAI for Students Library Guide provides further information, including how to reference GenAI.

Special assessment requirements

Final grades in this subject will be assessed according to performance in each of the assessment items identified above. In order to pass this unit, you must obtain:

  • an overall total score of at least 50% AND
  • submit all assessment items marked as mandatory

For assessment items marked as mandatory, each piece of assessment must be completed and submitted, but  it is not necessary that students pass each individual item of assessment unless otherwise stated.

Students are not allowed to use generative artificial intelligence (GenAI) in assessments for this unit.

The University's position is that artificial intelligence services must not be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an AI service may only be used if:

a) its use is authorised by the unit convener as part of the specified task; and
b) it is used in the way allowed in the assessment instructions and/or unit outline; and
c) its use is appropriately referenced, meaning that the students must reference the use of AI in their assessment in the same way as they reference other source material.

The use of AI has not been specified in the assessment instructions for the unit or in the unit outline and thus, AI is not a permissible resource.

Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.

Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.

UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.

Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Participation requirements

Your participation in both class and online activities will enhance your understanding of the unit content and therefore, the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items.
As per the University's policy students are expected to be available for all assessment items held during the trimester, including the examination period.

Required IT skills

This unit requires practical skills in Microsoft Excel, such as using formulas and key functions, along with general computer literacy. Students are encouraged to build or refresh these skills through online resources if needed before starting the unit.

Additionally, this unit may involve the use of Virtual Room in your UCLearn teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the virtual room.

Work placement, internships or practicums

None

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