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Data Science/AI Postgraduate Project

COSC2667
Closed
RMIT University
RMIT University
Melbourne, Victoria, Australia
Barti Murugesan
Engagement Manager - STEM College
(5)
3
Timeline
  • July 24, 2022
    Experience start
  • October 20, 2022
    Experience end
Experience
5 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Machine learning Artificial intelligence Data visualization Data analysis Data modelling
Skills
data analytics
Learner goals and capabilities

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

Learners
Post-graduate
Any level
5 learners
Project
240 hours per learner
Learners self-assign
Teams of 5
Expected outcomes and 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 timeline
  • July 24, 2022
    Experience start
  • October 20, 2022
    Experience end
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

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.