Earning Criteria

• Applied for the program by completing an application form, submitting a cover letter and CV. Applicants were then evaluated and ranked for admission due to a cap on registration.
• This program was online, with a combination of in-class and self-study introductory and intermediate level modules. There were approximately 100 hours of online classroom time. The topics included: Programming in Python; Data Analytics and Visualization; Linux and Shell Scripting; Advanced Computing Techniques; High Performance Computing (HPC); Parallel Computing; Cloud Computing; Version Control; Machine Learning; Technical Project Management; and Cybersecurity.
• Participants undertook an Independent Study Project as a cumulative project, using the skills learned throughout the program to explore a topic of their interest in depth. This project allowed them to creatively apply programming, HPC and data analysis to investigate complex problems and demonstrate their understanding.
• Assessments completed throughout the program provided proof of skills and competencies acquired. These assessments were authentic, where learners completed real-world tasks to demonstrate the application of their skills and knowledge.
• Online classes were held two evenings per week for three hours.