UnitLevel 5Postgraduate

FIT5205 Data in society

Faculty of Information Technology

FIT5205 Data in society is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2025 in Semester 1 at Clayton. It needs FIT9123 and unlocks 2 units.

Credit points
6
Offered in 2025
Semester 1
Clayton
Assessment
No exam
4 tasks
Workload
144 hours
per semester

The 2027 handbook has no page for FIT5205. This is its 2025 entry, the latest one.

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Requisites

Before FIT5205

Prohibitions

You can't enrol if you have passed any of these.

Overview

In the digital age, how we communicate, conduct business and socialize is revolutionizing our world. The explosion of data-driven and artificial intelligence technologies are transforming the way we live and work, altering relationships between government and citizens, businesses and consumers, researchers and the researched, public and private sectors, and individuals, communities and societies.

While data driven and algorithmic technologies can potentially help grow the economy, improve health and education, support national security, protect the environment, enable more energy efficiency, drive innovation and progress, and support more resilient, sustainable communities and cultures, there is a growing need to identify and address the risks associated with their design, development and use. In this unit the problems associated with the application of these information technologies in government and big business that leads to greater surveillance of citizens by states and consumers by businesses, disempowerment of individuals and vulnerable communities, increased discrimination, threats to social inclusion, social justice, human and civil rights, self-determination and privacy, and widens the divide between the data haves and have-nots will be explored, alongside the emerging ethical, legislative and strategic frameworks that aim to address these concerns.

Offerings in 2025

Teaching periodCampusMode
First semesterClaytonOn campus

Assessment

  • Assignment 1Written
    25%
  • Assignment 2Project
    25%
  • Assignment 3Presentation
    20%
  • Assignment 4Written
    30%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Describe and analyse digital media/data ecosystems;

  2. 2

    Analyse issues relating to the benefits and risks of big data in society;

  3. 3

    Explain key ethical design principles and their relevance to the design and development of data-driven and algorithmic technologies;

  4. 4

    Investigate how rights in data, rights to self determination, privacy rights, access rights, discovery rights, IP and copyright apply in different contexts/scenarios;

  5. 5

    Develop recommendations for socio-legal and policy frameworks and strategies for transparency, good governance, accountability and ethical practice in data management and use, including data rights management;

  6. 6

    Analyse needs and issues relating to the use big data to support resilient, sustainable communities and cultures.

Workload and teaching

  • Seminars12 hours
  • Applied sessions36 hours
  • Teaching approachEnquiry-based learning
  • Teaching approachActive learning

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Learning resources

Required resources

Beard, M., & Longstaff, S. (2018). Ethical by Design: Principles for Good Technology . The Ethics Centre. https://ethics.org.au/ethical-by-design/

Farthing, S., Howell, J., Lecchi, K., Paleologos, Z., Saintilan, P., & Santow, E. (2019). Human Rights and Technology Discussion Paper . Australian Human Rights Commission. https://tech.humanrights.gov.au/sites/default/files/2019-12/TechRights2019_DiscussionPaper.pdf 

Contacts

Chief Examiners
Associate Professor Joanne Evans
Unit Coordinators
Jigya Khabar

Common questions

What are the prerequisites for FIT5205?

You need FIT9123 before you enrol.

What can I take after FIT5205?

FIT5205 is a prerequisite or corequisite for 2 units, including FIT5206 and FIT5233.

When is FIT5205 offered?

In 2025, FIT5205 runs in Semester 1 at Clayton.

How much work is FIT5205?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does FIT5205 have an exam?

No. FIT5205 has 4 assessment tasks and no exam.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
202020212022202320242025