Master data storytelling, professional analytics skills and tools,and progress into the latest big data platforms — then apply your skills in a real industry placement.
Ready to turn raw data into actionable insights? Ready to build a complete skillset in data analytics, step-by-step?
Combine the power of the Data Analytics Accelerator with the Advanced Data Analytics Accelerator in this structured 32 week Diploma. This programme equips you with the skills to analyse, visualise, and interpret data for impactful decision-making. With a mix of technical training and real-world experience, you’ll be job-ready—whether you’re pivoting into tech or advancing your career. No prior experience? No problem! We teach you everything you need to succeed.
Why Choose This Programme?
Data is the backbone of every successful organisation. Our unique combination of data analytics and business intelligence training sets you apart in a competitive job market. With in-demand skills and experience, you’ll be equipped to contribute from day one—bridging technical expertise with business strategy.
Remember, Mission Ready micro-credentials are stackable so you can start with the Data Analytics Accelerator, and progress at your pace towards the diploma.
AI-Powered Data Analyst DIPLOMA: Diploma in Digital Technology Development and Design (Level 5, 120 Credits)
This Diploma is delivered in three connected phases. On completion of a phase, you are going to be awarded a micro-credential to recognise your achievements and progress. Each phase is 'by invite' only.
No Prior Data Experience? No Problem!
Over 12 weeks (full time) or 24 weeks (part time), you’ll master essential data analysis techniques, tools, and concepts used by industry leaders.
What You’ll Learn:
Transform Raw Data into Strategic Insights
Over 10 weeks (full time) or 20 weeks (part time), you’ll develop advanced data modelling and business intelligence expertise to deliver impactful, data-driven solutions. Go beyond the basics and learn advanced data analytics skills and tools, including machine learning.
Level up with advanced analytics skills using professional tools such as Python, Microsoft Azure, Microsoft Fabrics and Databricks. Learn how to perform predictive analysis, work with real-world datasets, solve business problems using data, and even explore machine learning. You’ll complete projects that demonstrate your ability to lead the end-to-end analytics process— from data wrangling to strategic insight.
Skills you'll gain
Gain Industry Experience That Sets You Apart
The mentored work placement is a vital part of the Data Analyst Diploma, giving you the chance to apply your learning in a real-world environment. This is an Invite Only Real-World Experience. Selected candidates will be invited to this mentored work experience. This phase is only available full time.
What You’ll Do During Your Placement:
Full-time
Component 1: Wednesday, 4 pm to 5 pm AEST
Component 2: Wednesday, 4 pm to 5 pm AEST
Component 3: Normal work hrs as agreed with Host Company
Part-time Programme:
Component 1: Wednesday, 4 pm to 5 pm AEST
Component 2: Wednesday, 4 pm to 5 pm AEST
Component 3: Normal work hrs as agreed with Host Company
Mission Ready Support
Flexible Payment Plans
Bring a friend referral
Refer a friend who enrols and you’ll both get $250 off your fees.
In Australia, we accept the following as the minimum entry requirement: Australian Core Skills Framework (ACSF) Level 3 and Year 10 Literacy and numeracy outcomes.
If English is not your first language, you must provide:
You will need a working laptop or PC with the following minimum specification:
Power BI is a key tool used in the programme and currently works best on Windows devices. Candidates using Mac laptops may face technical issues, which can make the learning experience more challenging. To ensure a smoother experience, we recommend using a Windows laptop for this course whenever possible.
Optionally, an additional monitor will make your life better 😊
Here's a comparison of all three:
Data Analyst Accelerator (12 weeks full time/ 24 weeks part time)
AI-Powered Advanced Data Analyst Accelerator (10 weeks full time or 20 weeks part time)
AI-Powered Data Analyst Diploma (32 weeks full time or 54 weeks part time)
Perfect for:
No previous experience in tech or data is required—just your curiosity and willingness to learn.
Your commitment is crucial.
Full-time students should aim for 30-35 hours weekly, while part-time students should allocate 15 – 17.5 hours per week.
Engage with online resources, classroom sessions, and assessments diligently.
For Level 6, a commitment of 40 hrs per week is essential. No part-time option is currently available.
You may need to incur the following costs:
Note: Fees and details are subject to change based on government policies and other factors.