RMIT University

Melbourne, Victoria, Australia

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 at least 2 hours 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 visualization Analysis and insights Machine learning/AI Big data Please submit your project interest via the form below for academic review and approval - https://app.smartsheet.com/b/form/c6a731a85ef443179dd563f337249ff6

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

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 1 starts on 27th Feb 2023 and finishes on 28th May 2023 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 the week 12th March 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 2 hrs/week) Please submit you project interest via the form https://app.smartsheet.com/b/form/a819896a051943428b67ad624a41da26

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.