This capstone course is designed to provide you with hands-on practical experience how to conduct data science projects, e.g. how to pre-process the data, how to transform the data, how to visualise the data, how to model the data, and how to evaluate the models.

The emphasis is on understanding and working within a professional environment and integrating all the related skills and knowledge that you have acquired from your previous courses into a solid base to progress from into your future professional life.

This course includes a Work Integrated Learning (WIL) experience in which your knowledge and skills will be applied and assessed in a real or simulated workplace context and where feedback from industry and/ or community is integral to your experience.

Your WIL activity will be allocated to you at the start of the course.

An agreement including schedule and relevant insurance documentation is required to be completed before commencing each placement/internship (local and international). International placements/internships must be registered and processed through RMIT Global Mobility. In the case where a placement ends early, please refer to 'Changes or cancellation of WIL activities' in the Work integrated learning (WIL) guideline.