Data Innovation Hub

Data Innovation Hub

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Forging productive pathways in data, analytics and AI.

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.

Our mission

Academic-Industry collaboration

Connecting industry partners with students, researchers and academics to connect academia to real-world problems leading to innovative solutions and potential research translation opportunities

Real-world experiences

Exposing students to internships, projects and mentoring with leading organisations in Australia who are using data, analytics & AI to solve real-world problems.

Career-ready graduates

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.

Are you from an industry wanting to partner with RMIT?

  1. Sponsor 6-12 month paid internship opportunities for students to work in your organisation, and commit to providing them a rich, purposeful, integrated learning experience. 
     
  2. Contribute projects and innovation ideas that will be worked on by students as WIL projects over a period of a semester.  
     
  3. Mentor and coach students throughout their placement and/or project and continue to provide guidance as they navigate their journey in building a career in data & analytics. 
     
  4. Collaborate with RMIT researchers and academics on your ‘wicked’ business problems. 

A collaborative industry partnership

      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

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

        1 semester  
WIL Project Assignment

WIL project  
Partners provide data & analytics related projects and commitment to supervise students Ongoing project supervision provided  

Are you a student looking for partnership opportunities?

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Look out for internship opportunities that will be posted on RMIT’s CareerHub and through your lecturers and apply!

An exemplary student WIL experience

      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 Career Hub and academics

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

Key people

Sean Lee – Director, Advanced Analytics, RMIT University

Analytics professional with more than 20 years in consulting, financial services and higher education. Sean is passionate about building the analytics workforce of tomorrow.

Dr Alex Antic – Adjunct A/Professor, RMIT University

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.

Professor Aleks Subic - DVC STEM & VP Digital Innovation, RMIT University

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.

Nonna Milmeister – Chief Data & Analytics Officer, RMIT University

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.

Industry advisors

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Contact us

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.

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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.

aboriginal flag
torres strait flag

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.