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BX2016 - Data Analytics and Business Modelling

Credit points: 3
Year: 2023
Student Contribution Band: Band 4
Administered by: College of Business, Law & Governance

Businesses typically collect large volumes of data. However, data is often meaningless until it is analysed for trends, patterns and relationships. It then becomes useful information. In this subject, students apply business modelling and spreadsheet skills to create decision models to analyse business data. Business simulations are used to relate the importance of creating value from business data to support decision making.

Learning Outcomes

  • employ decision models to examine, analyse and solve business decision problems;
  • relate principles of modelling to investigate business issues;
  • apply spreadsheet modelling skills to create decision models.

Subject Assessment

  • Written > Examination (centrally administered) - (55%) - Individual
  • Written > Test/Quiz 1 - (15%) - Individual
  • Performance/Practice/Product > Simulation activity - (30%) - Individual.
Prerequisites: BU1002 OR BU1902 OR CO1101
Inadmissible
Subject
Combinations: 		BU2006 CO2815 CO3105

Availabilities
Cairns, Trimester 2, Internal
Census Date 22-Jun-2023
Coord/Lect: Dr Singwhat Tee.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 30 hours seminars - 3 hours per week
  • 10 hours online activity - Recordings, online activity and self-directed learning
  • assessment and self-directed study

JCU Singapore, Study Period 51, Internal
Census Date 06-Apr-2023
Coordinator: Dr Thanh Nguyen
Lecturer: Mr Arjuna Lakshman.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lecture, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising session, via LearnJCU
  • assessment and self-directed study

JCU Singapore, Study Period 53, Internal
Census Date 30-Nov-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lecture, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising session, via LearnJCU
  • assessment and self-directed study

Townsville, Trimester 2, Internal
Census Date 22-Jun-2023
Coordinator: Dr Singwhat Tee
Lecturer: Mr Ian Burnett.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 30 hours seminars - 3 hours per week
  • 10 hours online activity - Recordings, online activities and self-directed learning
  • assessment and self-directed study

Trimester 2, External
Census Date 22-Jun-2023
Coord/Lect: Dr Singwhat Tee.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 30 hours online activity - Recordings, online activities and self-directed recordings
  • 10 hours online Tutorials - Online collaborate sessions
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.