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James Cook University Subject Handbook - 2023

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

BX3182 - Digital Analytics for Marketing

Credit points:03
Year:2023
Student Contribution Band:Band 4
Prerequisites:BU1007, BU1108 AND 12 CP OF UNDERGRADUATE SUBJECTS
Administered by:College of Business, Law & Governance

Subject Description

    Today, an enormous amount of data exists in digital form, originating from many different marketing sources and channels, e.g. Web, social media, and databases. The vastly unstructured data are a gold mine of hidden information that can provide valuable insights for business decision-making and performance measurement purposes. As having such information is essential to making informed decisions from operational and strategic marketing planning to new product development at various management levels, the ability to extract valuable information from the data, interpret the information, and draw up an action plan is a strategic organizational competence. By incorporating latest applications of digital analytics in marketing, this subject introduces various digital analytics concepts, platforms, methods, and tools that are useful for extracting data and interpreting information, including search engine optimization, Google Analytics, Web analytics, social media analytics, and text analytics.

Learning Outcomes

  • apply marketing digital analytics to facilitate informed marketing decisions and gain business insights
  • Interpret and analyse digital data information gained from various digital analytics platforms, methods and tools to draw up an action plan
  • Implement a digital analytics project from design phase to implementation phase

Subject Assessment

  • Oral > Presentation 1 - (20%) - Group & Individual
  • Written > Project plan - (30%) - Group & Individual
  • Written > Project report - (50%) - Group & Individual

Note that 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.

Inadmissible Subject Combinations:  BX3181

Availabilities

JCU Singapore, Study Period 51, Internal

Census date:Thursday, 06 Apr 2023
Study Period Dates:Monday, 13 Mar 2023 to Friday, 16 Jun 2023
Coordinator(s):
DR Chun Meng Tang
DR Malobi Mukherjee
Lecturer(s):
MR James Xiao
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 lectures, via LearnJCU
  • 20 Hours - Tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU

JCU Singapore, Study Period 53, Internal

Census date:Thursday, 30 Nov 2023
Study Period Dates:Monday, 06 Nov 2023 to Saturday, 27 Jan 2024
Coordinator(s):
DR Chun Meng Tang
DR Malobi Mukherjee
Lecturer(s):
MR Matthias Cheong
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 lectures, via LearnJCU
  • 20 Hours - Tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU