RMIT University

Melbourne, Victoria, Australia

The project addresses the application of analytics and statistics in a real world situation and is a capstone project for final year Master students. Our students have extensive knowledge in data extraction and preprocessing, data wrangling and exploration, data visualization, machine learning, forecasting, multivariate analysis, quality control and experimental design. Computing skills include querying language (SQL), scripting language (R, Python) & statistical language (R, SAS).

RMIT University

Melbourne, Victoria, Australia

This work integrated learning course addresses the application of analytics and statistics in a real world situation for final year Master of Analytics, Master of Statistics and Operations Research and Bachelor of Analytics students. The projects include data pre-processing and cleaning, data wrangling and exploration, data visualisation (such as dashboard), time series analysis, multivariate analysis, predictive modelling, quality control, regression, machine learning, , experimental design and optimisation. Computation tools include in particular querying language (SQL), R, Python, SAS, and Matlab. Our WIL projects have helped big and small companies improving their service and efficiency using current analytics and data science techniques. The WIL also provides a pathway for industry to recruit excellent graduates. Some employers report that our students bring fresh ideas and approaches to the workplace, sharing the latest research and thinking in the field they study.

RMIT University

Melbourne, Victoria, Australia

Students complete hands-on, practical experience developing software and/or delivering IT solutions in a project environment. They will work in teams and complete projects from inception to implementation. Preferred projects are web application development, testing, CMS configuration etc Project requirements: Self-sustained independent projects preferred (not BAU work) Semester 2 starts on 18th July 2022 and finishes on 16th October 2022 Project description to be reviewed and approved by the academic coordinator The team will be formed based on student interest and skillset Team sizes are 3 -5 Projects are supervised by academics with industry experience Team outcomes will be notified by week 2 approximately Each student is expected to work 120hrs during the semester on the project Project sponsors are expected to meet with the team regularly (at least 1 - 2 hrs/week)

RMIT University

Melbourne, Victoria, Australia

Students complete hands-on, practical experience developing software and/or delivering IT solutions in a project environment. They will work in teams and complete projects from inception to implementation. Prefered projects are in Cyber Security, Blockchain and Data Science.