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RMIT Data Science Student Projects (Semester 2 2023)

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RMIT University
RMIT University
Melbourne, Victoria, Australia
Jayme Liu
Jayme Liu He / Him
Industry Engagement Coordinator
(10)
5
General
  • Post-graduate
  • 5 learners; individual projects
  • 240 hours per learner
  • Dates set by experience
  • Learners self-assign
Preferred companies
  • 1/1 project matches
  • Anywhere
  • Academic experience
  • Any company type
  • Any
Categories
Computer science & IT Data visualization Data analysis Data modelling Machine learning Artificial intelligence
Skills
data analytics
Project timeline
  • August 30, 2023
    Experience start
  • November 10, 2023
    Experience end
Overview
Details

Students will dedicate 240 hours over a 12-week period to complete a data science-based project. We ask that the client e-meets candidates for 1 hour a week to keep them on track.

All learning activities in this course are based on applying data science knowledge in a process of planning and executing a substantial industry-led problem.

Student Skill set :

  • Data wrangling
  • Data engineering and visualisation
  • Analysis and insights
  • Machine learning/AI
  • Big data


Learner skills
Data analytics
Deliverables

Please see examples of previous projects above as an indication of what can be achieved. Project outcomes can be discussed once a project has been proposed.

Project Examples

Examples of previous projects:

· Prototype approach to identifying culture in businesses using natural language processing

· Predicting the weights of individual parts to estimate their effect on final product designs

· Analysing survey data to identify sentiment towards topics and product/brand

· Building of dashboards to summarise and analyse the company’s performance

· Cleaning and merging of multiple data sets to perform subsequent summarisation, analysis and automatic identification of relevant information

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

Have a contact for students to liaise with during the project.

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course. 1 hour a week to meet students and keep them on track.