Work Integrated Learning in Data Analytics
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.
Undergraduate of Information Technology and Computer Science Project
COSC2408
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
Data Science Postgraduate Project
COSC2667
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
Data Science/AI Postgraduate Project
COSC2667
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
Undergraduate of Information Technology and Computer Science Project
COSC2408
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)
Work-Integrated Learning in Data Analytics - Team project
MATH2191
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).
Professional Engineering Experience Program Undergraduate (Internships and Placements)
Our engineering industry experience placement/internship program can be tailored to suit the needs of industry and take many forms including: This can be taken anytime of the year; Can be full-time or part-time; Can be paid or unpaid; Minimum 50 days; Unpaid internships can’t last longer than 60 days; Paid internships can last up to 1 year; Be engineering work and supervised by a certified engineer at your company. If you are interested in our Engineering Placement/Internship Programs, please send over the Position Description/Job Description. We’ll advertise it to relevant cohorts of students. Students will submit the applications to us or directly to you, then you will notify us of the selected students. We will sign a Work-Integrated-Learning Agreement which covers insurance for students and protect your confidential data as well as IP. Then, students can start working for you.
Undergraduate of Information Technology/Computer Science Project (Jan to March 2022)
COSC2408
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.
Undergraduate of Information Technology/Computer Science Project
COSC2408
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.
Data Science Postgraduate Project
COSC2667
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. This is a project-based course where students learn through meetings and informal discussions with other students, the project manager and client. Their learning is in the ’doing’, where students will carry out all the necessary steps to successfully complete the project. All learning activities in this course are based on applying data science knowledge in a process of planning and executing a substantial research-based project or industry-sponsored capstone project experience.