RMIT School of Science - Data Analytics student projects

To provide an authentic work-integrated learning (WIL) experience, industry partners are invited to submit challenges for a project topic. The projects must offer realistic, challenging, yet achievable for teams of final year undergraduate and postgraduate students, and must add real value to existing, anticipated or simulated problems in the industry.


The students in this course work approximately 10 hrs/week (flexibly in addition to other courses) on the project for 10 - 12 weeks.


Semester start dates:

Semester 1, 2025 - 3 March 2025

Semester 2, 2025 - 21 July 2025


Students in the Analytics program have conducted projects in the following (not limited) areas:

(a)data wrangling and data visualisation

(b) statistics modelling, e.g., time series analysis, forecast, classification, multivariate analyses, genomics analysis, quality control and experimental design

(c) predictive modelling (random forest tree, neural network, support vector machine etc), natural language processing, image processing. Students have considerable programming skills in R, Python, structured query language (SQL) and SAS.


WIL Agreement

All organisations hosting RMIT students on a work placement must sign a Work Integrated Learning Relationship Agreement. The WIL relationship agreement is a legal arrangement with clauses such as confidentiality, insurance coverage and intellectual property. Copies of the WIL agreement are available to read prior to entering into the agreement.


If you have any questions, please contact stem-industry@rmit.edu.au.


Note for Academic Staff: If you are working with an industry partner please ask them to complete this form so the WIL team can facilitate a WIL agreement for the project directly. Thank you.


RMIT Privacy Collection Statement

Welcome

Are you submitting a project as an*
Are you an?*
Are you working with an industry partner?*

Note: If there are any industry partners involved as a part of ARC/CRC/Linkage/other research/Competitions, please continue filling the form by selecting "No" and provide the industry partner details in the box below.

Note: Applicable only when you work with any external partners. Otherwise "N/A"

Please STOP here!

Kindly ask the industry partner to complete this form. Alternatively, if you wish to submit on behalf of the industry partner, please choose the "Industry Partner" option in question one. You will need the following information to complete the form: - Company Name - Company ABN - Company Address - Website - Contact Name - Contact Number - Contact Email - Best contact to complete the WIL agreement


If you have any questions, please contact stem-industry@rmit.edu.au

Project Details

Please provide a project description outlining the problem you would like to see addressed.

E.g. Working prototype of the system, test results, supportive documentation

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Are there any inherent technical skills, abilities or requirements for students to participate in this project? eg. Programming, tools, data wrangling, data visualisation, statistical modelling, machine learning skills such as predictive modelling or natural language processing etc?

- Any resources available to the student - Are there any confidential Data or information? - Do you have other requirements such as a police check, WWCC?

Would you be happy for multiple teams to work on your project?

Note: Generally, a team of 3-5 students is preferred for better project outcomes.

What is your preferred working format?*

Onsite (Working/visit to a premise required)

Online (Working entirely remote)

Hybrid (Working online and some site visits required, including data collection requirements)


Please select Onsite/Hybrid if there is any requirement for a visit to any premise (RMIT/Industry). This is essential to organise any required permits.

Important note: 1. Our data analytics projects require industry to have data ready for our students to work on, or clear instructions to direct students to locate/obtain data source (for example, survey, website like ABS or others. 2. Make sure to highlight if there are any confidential data being shared

Data sets must be easily accessible for the students to utilise without searching and sourcing the data sets

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If you select 'other' you will be prompted to provide further details.

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Are there scholarships, possible future work available afterwards etc. that you would like the students to know about?

Industry Partner Details

We are excited to be working with you on a new project. Please provide some details about you and your proposed project.

Note: International partners, please enter "NA"

Please include: Unit/street no, street name, Suburb, State, Postcode

Phone
Are you the best contact to organise a WIL agreement with?*

Note: Our Agreements team will assist.

Are you already working with an RMIT academic staff member on this project?*

Are you already working with an RMIT academic staff member on this project?

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