Big Data Analysis & Industry Project

Postgraduate | 2026

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Mode icon
Mode
Mode
Your study will be 100% online
100% online
area/catalogue icon
Area/Catalogue
COMP 5061
Course ID icon
Course ID
203332
Campus icon
Campus
Online
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Comp Sc & IT
Course coordinator
Course coordinator
Lin Yue
Course level icon
Course level
5
Work Integrated Learning course
Work Integrated Learning course
No
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

In this course, students will complete a medium-scale, industry-inspired, data science project. This project will involve evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem. Working with a real-world, industry-motivated dataset, students will develop their data science skills and knowledge and demonstrate autonomy, initiative and accountability. Students will need to reflect on the nature of their data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management. As part of the course students will deliver a written and oral presentation of their project design, plan, methodologies, and outcomes.

Course learning outcomes

  • Comprehensive knowledge and understanding of their subject area
  • Ability to engage with different traditions of thought, and to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts
  • Ability to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges
  • Communication skills to convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals
  • Ability to engage in professional behaviour and potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities
  • Responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society
  • Understanding of, and respect for, Australian Aboriginal values, culture and knowledge
  • Well prepared for living, learning and working in a digital society
  • Self-aware and reflective; are flexible and resilient and have the capacity to accept and give constructive feedback; act with integrity and take responsibility for actions

Availability

Census date Icon
Census date
Fri 17/07/2026
Enrol by date
Enrol by date
Fri 26/06/2026
Last day to W
Last day to W
Mon 03/08/2026
Last day to WF
Last day to WF
Mon 17/08/2026

Class details

Online

Class number
Class number 44008
Section
Section 01OL
Size
Size 500
Available
Available 500
Dates Days Time Campus Location Instructor
- Online ,
Notes:
Available to Master of Data Science (Applied) students only.

Prerequisite(s)

  • must have completed all of COMP5058 Foundations of Computer Science - Python B/INFO5045 Applications of Data Science/INFO5046 Real Data: Modern Methods for Finding Hidden Patterns/MATH5022 OL Mathematical Foundations of Data Science

Corequisite(s)

N/A

Antirequisite(s)

  • must not have completed COMPSCI7319OL Big Data Analysis & Industry Project at the University of Adelaide

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Study Abroad student tuition fees are available here.

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

If you are studying in a Professional Pathway Psychology or Clinical Psychology program, please refer to the Student Contributions amounts published here.

The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.