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DTSC71-304: Applied Data Analytics Project

Description

Knowing how to understand, analyse and present data is a key to entry in any industry. This subject requires students to apply the concepts, theories and frameworks from their entire program to a big data research project. Working under the supervision of an academic staff member, students will apply the research process, develop a research question that is relevant to both industry and the academic community, synthesise the relevant literature, use appropriate big data techniques and interpret the results and evaluate their implications. Students may work in teams or as individuals dependant on the size of the project. Projects may be created internally or be sourced from industry.

Subject details

Type: Postgraduate Subject
Code: DTSC71-304
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • September 2022 [Standard Offering]
Credit: 10
Study areas:
  • Actuarial Science and Data Analytics
  • Business, Commerce, and Entrepreneurship
Subject fees:
  • Commencing in 2021: $5,110.00
  • Commencing in 2022: $5,170.00
  • Commencing in 2023: $5,300.00
  • Commencing in 2021: $5,570.00
  • Commencing in 2022: $5,570.00
  • Commencing in 2023: $5,710.00

Learning objectives

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. Design and undertake appropriate data collection and analyses to investigate a 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

Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Restrictions: This subject is not available to
  • Study Abroad Students

Program Director approval required

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

  • Standard Offering
    Enrolment opens: 17/07/2022
    Semester start: 12/09/2022
    Subject start: 12/09/2022
    Cancellation 1: 26/09/2022
    Cancellation 2: 03/10/2022
    Last enrolment: 25/09/2022
    Withdraw - Financial: 08/10/2022
    Withdraw - Academic: 29/10/2022
    Teaching census: 07/10/2022
Standard Offering
Enrolment opens: 17/07/2022
Semester start: 12/09/2022
Subject start: 12/09/2022
Cancellation 1: 26/09/2022
Cancellation 2: 03/10/2022
Last enrolment: 25/09/2022
Withdraw - Financial: 08/10/2022
Withdraw - Academic: 29/10/2022
Teaching census: 07/10/2022