Skip to main content
Start of main content.

DTSC13-304: 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. Projects may be created internally or be sourced from industry.

Subject details

Type: Undergraduate Subject
Code: DTSC13-304
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • May 2024 [Standard Offering]
  • September 2024 [Standard Offering]
  • January 2025 [Standard Offering]
Credit: 10
Study areas:
  • Actuarial Science and Data Analytics
Subject fees:
  • Commencing in 2023: $4,050.00
  • Commencing in 2024: $4,260.00
  • Commencing in 2025: $4,460.00
  • Commencing in 2023: $5,400.00
  • Commencing in 2024: $5,730.00
  • Commencing in 2025: $5,990.00

Learning outcomes

  1. Apply knowledge from previous subjects in the discipline to a data analytics project.
  2. Analyse the appropriate literature on an approved data analytics research topic.
  3. Design and undertake data collection and analyses to investigate a research question.
  4. Demonstrate appropriate teamwork skills in completing the data analytics research project.
  5. Reflect on your experience of collaborating to solve a data analysis problem.

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

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

Subject dates

  • Standard Offering
    Enrolment opens: 19/03/2024
    Semester start: 13/05/2024
    Subject start: 13/05/2024
    Cancellation 1: 27/05/2024
    Cancellation 2: 03/06/2024
    Last enrolment: 26/05/2024
    Withdraw - Financial: 08/06/2024
    Withdraw - Academic: 29/06/2024
    Teaching census: 07/06/2024
  • Standard Offering
    Enrolment opens: 14/07/2024
    Semester start: 09/09/2024
    Subject start: 09/09/2024
    Cancellation 1: 23/09/2024
    Cancellation 2: 30/09/2024
    Last enrolment: 22/09/2024
    Withdraw - Financial: 05/10/2024
    Withdraw - Academic: 26/10/2024
    Teaching census: 04/10/2024
  • Standard Offering
    Enrolment opens: 10/11/2024
    Semester start: 20/01/2025
    Subject start: 20/01/2025
    Cancellation 1: 03/02/2025
    Cancellation 2: 10/02/2025
    Last enrolment: 02/02/2025
    Withdraw - Financial: 15/02/2025
    Withdraw - Academic: 08/03/2025
    Teaching census: 14/02/2025
Standard Offering
Enrolment opens: 19/03/2024
Semester start: 13/05/2024
Subject start: 13/05/2024
Cancellation 1: 27/05/2024
Cancellation 2: 03/06/2024
Last enrolment: 26/05/2024
Withdraw - Financial: 08/06/2024
Withdraw - Academic: 29/06/2024
Teaching census: 07/06/2024