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DTSC71-303: Data Analytics Case Studies

Description

Data analysis is the skill of the future. This subject identifies and critically analyses the concepts, theories and frameworks of big data research in a series of case studies. Through analysis and critique, students will develop an expert understanding of the research process and how the research presented in each case study has been relevant to both industry and the academic community. Students will synthesise the relevant literature, identify the big data techniques and interpret the results and evaluate their implications.

Subject details

TypePostgraduate
CodeDTSC71-303
EFTSL0.125
FacultyBond Business School
Semesters offered
  • September 2021 [Standard Offering]
  • January 2022 [Standard Offering]
  • September 2022 [Standard Offering]
  • January 2023 [Standard Offering]
  • September 2023 [Standard Offering]
Credit10
Study areas
  • Business and Commerce
Subject fees
  • Commencing in May 2021: $5,110

Learning outcomes

1. Apply knowledge from previous subjects in the discipline to a real big data project.
2. Critically analyse and synthesise the relevant literature on an approved big data research topic.
3. Evaluate the design of data collection and analyses from a given research question.
4. Articulate the rationale, theory, methods, findings and implications of a research project in a professional written report.
5. Deliver a clear, concise well-organised research presentation appropriate to specialist and non-specialist audiences using suitable visual aids.

Enrolment requirements

Requisites: ?

Pre-requisites: ?

Co-requisites: ?

There are no co-requisites.

Restrictions: ?
  • Study Abroad Students

This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.

Anti-requisites: ?

Subject dates

Future offerings not yet planned.