Data Innovation Hub
The Data Innovation Hub actively supports collaboration between industry, academia and RMIT students; facilitating opportunities for work integrated learning (WIL) placements, projects and industry engagement.
For students, it’s an exemplary WIL experience that will prepare them for a successful career in data & analytics through practical bootcamps, industry mentoring, paid internships, on-the-job coaching and exciting projects.
For industry, it’s an opportunity to help shape the future workforce and collaborate with RMIT academics and researchers on real world problems.
Connecting industry partners with students, researchers and academics to connect academia to real-world problems leading to innovative solutions and potential research translation opportunities
Exposing students to internships, projects and mentoring with leading organisations in Australia who are using data, analytics & AI to solve real-world problems.
Preparing students from related fields for a successful career in data, analytics & AI, through an authentic and purposeful WIL experience from application through to training and mentoring.
The (Data Innovation Hub) experience helped close the gap between what I learned from the university and what is practiced in the industry… It offered me the opportunity to work together with the industry partner for six months to familiarise myself with typical data analytics tasks, stakeholder communication skills and the agile development paradigm. A lot of attention and mentoring was given to me by seniors in the team which was a rare and great experience. The experience helped me to realise that the architecture of data applications is a very important topic in the industry and will be one of my major focus in the next of my studies.
- Zhutian Wang, Data Innovation Hub participant
| 2 Weeks | 6 or 12 months | 6 months | |||||
| WIL Placement | Application & Selection | ❯ |
Initiation bootcamp | ❯ |
WIL placement | ❯ |
Industry mentoring |
| Partners are involved in the selection process from candidate screening through to interview panels | Partners involved in delivering specific content of bootcamps | Full time, paid internship provided by industry partner
Job supervision provided |
Participation in RMIT’s Industry Mentoring program with placement supervisors continuing as mentors | ||||
✚ |
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| Industry collaboration | |||||||
| OR | Access to RMIT researchers and academics from fields of AI, data science and analytics for seminars and light consultation
Research and consulting opportunities |
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| 1 semester | |||||||
| WIL Project | Assignment | ❯ |
❯ |
WIL project | |||
| Partners provide data & analytics related projects and commitment to supervise students | Ongoing project supervision provided | ||||||
Click the following link to apply for these internships: RMIT Career Centre Jobs Board
| 2 Weeks | 6 or 12 months | 6 months | |||||
| Application & Selection | Initiation bootcamp | WIL placement | Industry mentoring | ||||
| WIL Placement | Students to apply for placement opportunities advertised through RMIT Career Centre and academics/lecturers Suitable students are short-listed and undergo an interview process involving industry partners |
❯ |
Students will participate in a bootcamp prior to the WIL experience, focused on professional practices to prepare students for the work environment Bootcamp will be delivered via online modules or face to face Bootcamp content can be tailored depending on type of WIL experience and skills required of industry partners |
❯ |
Full time, paid internship with industry partner Supervision and coaching from industry partner and RMIT academic |
❯ |
Participation in RMIT’s Industry Mentoring program with placement supervisors continuing as mentors |
| OR | |||||||
| WIL Project | Assignment | ❯ |
❯ |
WIL project | |||
| Students are assigned to WIL projects by academics, typically in groups of 2-3 | Working on an industry partner project Depending on WIL subject this will range between 12-24 CP |
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Analytics professional with more than 20 years in consulting, financial services and higher education. Sean is passionate about building the analytics workforce of tomorrow.
Analytics expert with 18+ years post-PhD experience in Federal & State Government, Asset Management, Insurance, Academia, Banking (Investment and Retail) & Consulting. Focused on developing the next generation of AI experts.
Distinguished academic with over 300 international peer reviewed publications and digital innovation champion for RMIT, focused on delivering work-integrated-learning opportunities "at scale" for RMIT students.
With a wide range of industry experience in consulting, telecommunications, finance and IT, Nonna is an award winning Data and Analytics Champion. Nonna has been recognised by IAPA in the top 10 Analytics Leaders in Australia in 2021 and by Corinium in the top 100 Data and Analytics Innovators in the world in 2020.
If you have any questions or would like more information about the RMIT Data Innovation Hub, please email us at data.innovation.hub@rmit.edu.au.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.
