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Project title

Radioactive Waste in Australia – Public Understanding & Narrative Mapping��

Background

is Australia’s nuclear science and technology organisation, responsible for a significant proportion of the nation’s radioactive waste generated through activities such as nuclear medicine production, research, and running Australia's only nuclear reactor. As both a generator and communicator of nuclear science, ANSTO has an ongoing responsibility to support informed public understanding and maintain social licence.��

Public perceptions of radioactive waste are shaped by a mix of scientific information, media narratives, historical associations, and perceptions of risk. These perceptions vary significantly across different audiences and influence levels of trust, acceptance, and engagement with nuclear science. This project explores how ANSTO can better understand and strategically engage key stakeholder groups to improve public understanding and reshape narratives around radioactive waste.��

Project aim

• Analyse how radioactive waste is represented across Australian media, education resources and public discourse, identifying dominant narratives, key misconceptions, and how factors such as risk perception, uncertainty, and trust influence public attitudes.
• Identify and profile key stakeholder groups (e.g. general public, communities near nuclear infrastructure, primary and secondary students, educators, and mainstream media), examining their specific concerns, knowledge gaps, and information needs.
• Examine ANSTO’s role as a major generator of Australia’s radioactive waste and analyse how this responsibility shapes its role in supporting informed public understanding and maintaining social licence, including evaluation of current communication and engagement approaches.��

Expected outcomes

• Develop a targeted communication and/or education strategy for a specific stakeholder group, including but not limited to the general public, communities living near current or future sites of nuclear infrastructure, primary schools, high schools and mainstream media.
• Propose a practical pilot plan for ANSTO to test these strategies through education programs, outreach initiatives, or media engagement, with consideration of scalability and relevance to the broader Australian nuclear sector.��

Project title

Design a scalable social impact model for financial wellbeing in Australia

Background

is a customer-owned bank with a purpose of creating better lives through caring for our members and communities. A core strategic priority is to lead the Australian banking sector in measurable social impact, particularly in supporting customers experiencing financial stress or vulnerability. While many institutions deliver community initiatives, few have a scalable, evidence-based model linking everyday banking activities (products, behaviours, engagement) to tangible social outcomes. We know that financial hardship and cost-of-living pressures are rising and regulators and stakeholders are increasing scrutiny on ESG (particularly social impact credibility) there is limited industry consensus on how to measure and embed either social impact or “financial wellbeing” at scale. This project seeks to address a central strategic question - how can a member-owned bank systematically design, measure, and scale its social impact to maximise financial wellbeing outcomes?��

Project aim

The organisation is seeking a student team to define what “financial wellbeing impact” means in practice, identify the highest-impact intervention opportunities, design a scalable impact model and propose a measurement framework.

Expected outcomes

The student team will deliver an Insight Report (evidence-led including synthesis of global best practice, benchmarking of how organisations measure and deliver social impact), Financial Wellbeing Framework (including a clear definition of outcomes and mapping of drivers), Priority Opportunity Map (including identification of 3-5 high impact areas, assessment of impact potential vs feasibility), Concept Solutions / Prototypes (illustrative interventions eg product concepts, nudges, partnerships & journeys, with a focus on interventions that are scalable and evidence based), Impact Measurement Model (including proposed metrics and data, how impact can be tracked over time), Executive Presentation (including clear, decision oriented recommendations for senior leaders).

Project title

Getting ahead of the AI ask��

Background

is a global engineering and manufacturing-led construction leader, delivering state-of-the-art infrastructure and buildings projects in the UK, Australia and the Middle East. Driven by our purpose - to push the boundaries of what’s possible, in service of humanity - we create safer hospitals, cleaner water, secure Defence facilities, and better-connected cities. We also build meaningful careers and inclusive workplaces where people thrive. We have a strong culture which stems from our family ownership and a passion to deliver projects that improve the lives of the communities they serve. Across our global business, our unique operating model combines cutting-edge technology with modern methods of construction to deliver certainty for clients and transform how infrastructure is engineered and built.��

Project aim

Clients are beginning to ask how their delivery partners use AI: in tenders, in prequalification, and in the expectations they set for major projects. The signal is early and still forming, which makes it an opportunity for the organisation that reads it first and responds with intent. There is likely a gap between where this company sits today, what clients will expect in the near future, and the capabilities needed to meet that expectation. Some of that gap could be closed in-house, while some may be better filled through strategic partners drawn from the emerging technology and start-up landscape, and not only in technology but in areas such as governance and assurance. This company wants students to monitor the emerging client demand, map it against the capabilities available across that wider ecosystem, and propose where the company should build, where it should partner, and how it should position itself in response. The output is a market monitoring approach, a clear view of the capability gap, and a strategic response that turns a question clients are only starting to ask into a source of competitive advantage.��

Key Areas to Explore

To inform your solution you will need to conduct some research into some relevant areas, these may include:��

1. Payment Experience
2. Timing
3. Country of Origin
4. Decision Making Journey

Expected outcomes

• Research into how clients across sectors are expressing expectations about AI in procurement, tenders and partnership, and where that demand is heading.��
• A scan of the emerging technology, start-up and governance landscape for capabilities that could meet those expectations.��
• A gap analysis across three points: where the company sits today, what clients will expect, and where strategic partners could accelerate the response.��
• A proposed approach for monitoring both the demand signal and the capability landscape over time.��
• A strategic positioning and partnership response framework, with recommendations and success measures.��

Project title

Redesigning the OSHC Purchase Experience for Students Outside Australia

Background

International students are required to hold Overseas Student Health Cover (OSHC) for the entire duration of their studies in Australia. For many students who are still overseas, purchasing OSHC is one of their first interactions with an Australian organisation. This often happens before they arrive, before they have an Australian bank account, and before they understand how local systems work.�� ��

Universities want this process to feel straightforward, trustworthy, and accessible for students applying from a wide range of countries. In practice, the experience can feel confusing or inconsistent for students outside Australia, who often face many challenges.��

Project aim

Your task is to redesign the end‑to‑end OSHC purchase experience specifically for offshore students who are buying OSHC through their university.

Key Areas to Explore

To inform your solution you will need to conduct some research into some relevant areas, these may include:��

1. Payment Experience
2. Timing
3. Country of Origin
4. Decision Making Journey

Expected outcomes

Design a purchase experience that is clear, trustworthy, and easy to use from any country, and that aligns with the real journey students take from receiving an offer through to submitting their visa application — all while they are still outside Australia.

To do this you will propose a set of practical, creative solutions that improve the OSHC purchase experience for students who are not yet in Australia.�� You may present your solution in any format using any visual aids you deem necessary — these may include process maps, prototype screens, diagrams, or short structured narrative proposals.��

Project title

Rugby World Cup Legacy Program Impact Modelling

Background

’s focus is to grow participation, strengthen community rugby, deliver high quality competitions and pathways, and build a sustainable, unified rugby system across NSW.

With the Rugby World Cup being held in Australia from October 2027, NSW Rugby Union is investing in building the capacity and capability throughout the Rugby network whilst removing barriers to participation for a sustainable future. Innovative program development across play, infrastructure, workforce, and connecting with diverse communities will create opportunities, improve experiences, change perceptions and capture interest brought by the Rugby World Cup across 5 pillars:

• Pillar 1: Facilities and Equipment
• Pillar 2: Priority Regions & Pathways
• Pillar 3: Programs & Workforce
• Pillar 4: Inclusion
• Pillar 5: Rugby World Cup Activation

Project aim

To build a framework model to measure the impacts of the Rugby World Cup Legacy Program.��

Expected outcomes

A framework to measure the economic and social impacts of the delivery of the Rugby World Cup Legacy program.��

Project title

Enhancing Hospital Flow to Improve Patient Care and Readmission Outcomes��

Background

According to the Australian Medical Association’s 2025 Public Hospital Report Card, Australian hospitals are under increasing pressure from rising demand, workforce constraints, limited bed availability, and emergency department congestion. At the same time, large volumes of administrative and electronic health record (EHR) data are collected across care settings, yet this information is often difficult to translate into practical insights that support operational planning, reduce avoidable readmissions, and improve visibility of patient journeys. is a global leader in analytics, providing data‑driven solutions to more than 1,700 health and social services organisations worldwide, with a strong focus on improving patient outcomes and operational efficiency in healthcare. This context highlights a clear need for applied analytics approaches that enable students to explore how data can be used to better understand and improve hospital workflows, patient outcomes, and overall system efficiency.��

Project aim

This project aims to provide students with an opportunity to apply the knowledge, skills, and professional capabilities developed throughout their degree to a real‑world healthcare analytics context. Through working with hospital electronic health records (EHR), students will develop a deeper understanding of patient journeys, hospital utilisation, and factors influencing readmissions and length of stay. The project is designed to strengthen students’ analytical reasoning, problem‑solving, and critical thinking skills, while supporting the development of teamwork, project management, and effective communication of insights to both technical and non‑technical audiences. By engaging with SAS tools and receiving feedback from analytics professionals, students will build confidence in translating data into meaningful insights and evidence‑based recommendations to prepare them for professional practice in analytics and related fields.��

Expected outcomes

By completing this capstone project, students are expected to apply the theoretical knowledge and technical skills developed throughout their degree to a realistic healthcare analytics problem. Through working with de‑identified hospital datasets, students will gain experience in understanding data limitations, assumptions, and ethical considerations, while strengthening their analytical reasoning by identifying patterns in patient journeys, hospital utilisation, and readmission risk. The project will support the development of professional communication skills through the creation of written reports, dashboards, visualisations, and presentations tailored to both technical and non‑technical audiences, as well as enhance teamwork and project management capabilities through collaboration within an interdisciplinary team environment. Students will also gain valuable exposure to industry expectations and feedback through engagement with SAS analytics professionals. Collectively, the project will culminate in a comprehensive analysis of hospital EHR data that highlights patient journeys, readmission trends, and operational performance, identifies key factors influencing readmissions and length of stay, explores patient cohorts and care needs, uncovers inefficiencies such as repeated admissions or prolonged stays, and delivers recommendations supported by analytical insights and visual storytelling using SAS.��

Project title

WSTI Impact Measurement Framework — Phase 1: Measuring Western Sydney's Grassroots AI Community Initiative��

Background

Organisation focus. is Western Sydney's largest AI community, with 3,600+ members across the region. WSTI delivers grassroots AI programs across two interlocking streams: AI Literacy (e.g., community workshops, drop-in library sessions, youth engagement) and AI Innovation (hackathons, masterclasses, SME automation projects, agentic AI builds).

Since October 2024, WSTI has delivered AI programming to thousands of Western Sydney residents — including SME owners, youth, seniors, children, CALD communities, migrant founders. However, WSTI lacks a defensible impact measurement framework — particularly across (a) inclusivity, (b) social and societal impact, and (c) employment and job creation outcomes. It needs a credible evidence base to report impact transparently; inform the design of future programs and partnerships; and to anchor the case for scaling the WSTI model beyond Parramatta in 2027 and beyond. This Phase 1 project is the first step in a phased program of work. Phase 2 (benchmarking against national and global programs) and Phase 3 (national scalability) are anticipated in 2027. Phase 1 grounds the framework and signposts where Phase 2 benchmarking will dig deeper.��

Project aim

• Conduct a short situation review and survey of current AI community-impact measurement practices in Australia.��
• Students will select one or multiple of the WSTI beneficiaries to focus on.��
• Analyse WSTI's community engagement programs, with focus placed on inclusivity, social/societal impact, employment and job creation, and SME productivity dimensions.��
• As part of their research, students are to test a variety of data capture practices - stakeholder surveys, intake forms, follow-up touchpoints that are suitable for supporting ongoing data collection.��

Expected outcomes

A situation review and survey report summarising current AI community-impact measurement practices in Australia, with identified gaps and opportunities that inform the framework design.

• A documented Impact Measurement Framework with clearly defined metrics, methods and data sources across four impact dimensions: inclusivity, social/societal impact, employment & job creation, and SME productivity.
• A baseline impact assessment covering WSTI's AI programs.
• A set of recommended ongoing tracking tools (surveys, intake templates, post-event follow-up scripts) WSTI can adopt internally.��

You can apply for up to two projects per term, and indicate your preferences accordingly.

You will be notified of the project for which you are invited to interview. Final placement allocation will be determined based on your performance during the interview process. Please note that participation in an interview does not guarantee placement.

No. Students can only participate in a single course code��(CDEV3000 / CDEV6000) once.