Availabilities:

LocationDomesticInternational
Gold CoastSession 2Session 2
LismoreSession 2Session 2
MelbourneN/ASession 2
OnlineSession 2Session 2
PerthN/ASession 2
SydneyN/ASession 2

Unit description

Provides students with the necessary knowledge and skills to effectively use business analytics to support decision making in the context of ‘big data’ as a strategic resource. As a ‘data-driven’ unit, students will be exposed to a variety of analytical techniques using software applications.

Unit content

Topic 1: Introduction to business analytics

Topic 2: Data visualisation

Topic 3: Descriptive numerical measures

Topic 4: Simple linear regression

Topic 5: Multiple linear regression - Part I

Topic 6: Multiple linear regression - Part II

Topic 7: Business Forecasting - Part I

Topic 8: Business Forecasting - Part II

Topic 9: Model Building - Part I

Topic 10: Model Building - Part II 

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
On completion of this unit, students should be able to:GA1GA2GA3GA4GA5GA6GA7
1Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource.Knowledge of a disciplineCommunication and social skills
2Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage.Intellectual rigourKnowledge of a discipline
3Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes.Knowledge of a discipline
4Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings.Intellectual rigourCommunication and social skills

On completion of this unit, students should be able to:

  1. Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource.
    • GA4: Knowledge of a discipline
    • GA6: Communication and social skills
  2. Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage.
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
  3. Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes.
    • GA4: Knowledge of a discipline
  4. Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings.
    • GA1: Intellectual rigour
    • GA6: Communication and social skills

Prescribed texts

  • Berenson, ML, Levine, DM, Szabat, KA, Watson, J, Jayne, N & O’Brien, M, 2019, Basic Business Statistics: Concepts and Applications, 5th edn, Pearson, Melbourne, VIC. ISBN: 9781488617249.
Prescribed texts may change in future study periods.

Teaching and assessment

Teaching method
Lecture online 1 hour (12 weeks)
Tutorial on-site 2 hours (12 weeks)
Assessment
Short written response20%
Short written response30%
Report50%

Teaching method
Lecture online 1 hour (12 weeks)
Tutorial on-site 2 hours (12 weeks)
Assessment
Short written response20%
Short written response30%
Report50%

Teaching method
Lecture online 1 hour (12 weeks)
Tutorial on-site 2 hours (12 weeks)
Assessment
Short written response20%
Short written response30%
Report50%

Teaching method
Lecture online 1 hour (12 weeks)
Assessment
Short written response20%
Short written response30%
Report50%

Teaching method
Lecture online 1 hour (12 weeks)
Tutorial on-site 2 hours (12 weeks)
Assessment
Short written response20%
Short written response30%
Report50%

Teaching method
Lecture online 1 hour (12 weeks)
Tutorial on-site 2 hours (12 weeks)
Assessment
Short written response20%
Short written response30%
Report50%
Notice

Intensive offerings may or may not be scheduled in every session. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the study session.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2020 Commonwealth Supported only. Student contribution band: 3

Fee paying courses
For POSTGRADUATE or UNDERGRADUATE full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees

International

Please check the international course and fee list to determine the relevant fees.

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