PROGRAMME DETAILS
Download the programme brochure
Learn more about the curriculum, learning experience, career support and outcomes, plus the experts you’ll learn from.
Adidas’ Jip Sanders shares how the LSE Data Analytics Career Accelerator helped him build confidence, lead automation, and advance his career.
Luis Cantu is now a Data and Insights Analyst at Leeds United Football Club – a role he moved into from independent commercial consulting, with no prior background in data analytics.
Discover how Thijs went from no coding skills to Python-confident on the Cambridge PACE Data Science Career Accelerator. Learn more.
LEARNING MODEL
What you’ll experience over six months
Speak with an Enrolment Advisor to explore your goals, ask questions and decide whether this programme is the right fit for where you want your career to go.
Meet your Success Manager and Career Coach before the programme begins. Together, you’ll define your goals and create a personalised plan for the months ahead.
Progress through four courses with weekly goals, practical activities and expert support. Study on your schedule while staying accountable with personalised guidance from your Success Manager.
Apply your learning to an employer-set project, receive feedback from industry and graduate with a portfolio of practical evidence of what you can do, not just what you know.
Work one-to-one with a Career Coach to strengthen your CV, interview skills, professional confidence and long-term career plan.
Earn a university certificate that demonstrates your commitment, alongside a portfolio of practical projects that show employers how you apply your skills in practice.
Join our Alumni groups to continue learning, build your network and discover new opportunities throughout your career.
CURRICULUM OVERVIEW
What you’ll learn
Across four practice-led courses, you’ll move from foundational analysis to advanced machine learning and AI-assisted workflows. Each course is anchored in a single business scenario that runs across all six weeks, including ones built on real Australian data, so every technique is learned against a live problem rather than in isolation. You’ll also develop the judgment to direct, verify and govern AI-assisted work to the standards Australian analysts are held to. Assessment is project-based throughout; no exams.
You’ll start with two weeks of Orientation, where you’ll get comfortable with the online learning platform, connect with fellow learners, and plan your studies. You’ll also meet your Success Manager and Career Coach, who will help you personalise your plan of attack to achieve your version of success.
Learn to frame a business question, then work across Excel, Power BI and SQL to answer it. You’ll clean and analyse data, query relational and cloud databases including through natural language, and build interactive dashboards, using and verifying the AI features built into each tool as you go. Data ethics and accessibility standards are applied throughout.
What you’ll produce: An interactive analytics dashboard built around a real business scenario, incorporating Excel analysis, Power BI visualisations, SQL-based insights with natural language querying, a written report and a recorded presentation of key findings.
Develop your Python analytics workflow from the ground up, working in Jupyter notebooks under Git version control. You’ll manipulate and visualise data, access external data through APIs and cloud databases, and build AI-assisted workflows you verify with precision, recall and F1-score. Provenance and reproducibility standards apply to all AI-assisted work.
What you’ll produce: A set of Python analysis notebooks and a written report, documenting data manipulation, visualisation and external data access workflows, with AI-assisted analysis verified and clearly communicated for a stakeholder audience.
Start with the statistical foundations, distributions, hypothesis testing and the difference between statistical and business significance, then build and evaluate regression, classification, clustering and NLP sentiment analysis models. You’ll design and interpret A/B tests, automate analytical workflows into scheduled scripts with GitHub Actions, and direct and supervise an AI assistant through an analysis loop while staying accountable for the result.
What you’ll produce: A predictive analytics report and business presentation, synthesising regression, decision tree, clustering and sentiment analysis workflows into a coherent set of evidence-based recommendations.
Apply the full toolkit from Courses 1 to 3 to a live brief set by an industry Employer Partner. Working in a small group, you’ll analyse the partner’s real datasets, develop data-informed recommendations and present them to the organisation. The Employer Partner sets the brief, reviews your progress midway and attends the final presentation. You’ll walk away with the kind of end-to-end analytical experience that distinguishes a strong interview candidate.
The Employer Project is:
- Unique to your cohort – the Employer Partner and brief are specific to your intake, keeping the challenge current and the experience genuine
- Grounded in real business needs – you’ll work with authentic data and develop recommendations that address an actual organisational challenge
- Designed to reflect the work of a data analyst – drawing on the full range of tools and techniques built across the program, with the same standards of analysis, communication and delivery expected in a professional role
What you’ll deliver: A final analytical report with code and findings, and a live group presentation delivered directly to the Employer Partner.
Course content is subject to change during development.
OUR EXPERTS
Who you’ll learn from
Learn from university academics, industry leaders and experienced practitioners who bring current challenges, practical insights and real-world experience into every stage of the programme.
Subject experts
To ensure relevance and rigour, the programme content is developed in consultation with both university faculty and industry leaders.
Facilitators
Receive live and on-demand guidance from experienced professionals as you apply new concepts and overcome challenges.
Leadership coach
Set yourself up for long-term career success through a mix of one-to-one sessions and interactive masterclasses with your coach.
Graduate with proof of what you can do
Stand out with recognised credentials and practical evidence of your skills.
Earn a Monash University Digital Credential and build a portfolio that demonstrates your ability to analyse and visualise data, build predictive models and turn insights into evidence-based business recommendations using Excel, SQL, Power BI, Python and AI-enabled workflows.
PAYMENT PLANS
Flexible ways to invest in your career
Choose the payment option that works for you. Book a call with an Enrolment Advisor to see if you qualify – chances are, you do.
Once-off
Reduced rate
Benefit from a reduced rate by making payment upfront, in full, before the start of the programme.
AU$12,250
$13,250
6 months
No added fees or interest
Make a 10% deposit of AU$1,325, followed by six monthly payments of
AU$1,987.50
MONTHLY
12 to 24 months
No added interest
These plans are available to Australian citizens and residents, and New Zealand citizens living in Australia.
Make a 10% deposit, with monthly payments starting from as low as
AU$496.88
MONTHLY
Monash University alumni receive AU$1,250 off the program fee.
If paying upfront, Monash alumni receive an additional AU$250 off (paying AU$11,750).
What could you earn in data analytics?
Data analytics professionals are in demand across Australia as organisations invest in data-driven decision-making and AI. Opportunities span analysis, business intelligence and data leadership, with clear pathways into senior analytics roles.
Up to AU$110k
Data Analyst
Up to AU$143k
Senior Data Analyst
AU$145k+
Data Manager and analytics leadership roles *
PARTNER WITH US
Could your business be our next industry partner?
Outsource a project
Co-design a business project to get access to ambitious and diverse professionals who are solely focused on solving your problem.
Train your team
We’ll work with you to find a custom solution for your team on all or part of a programme. As learners or mentors, they’ll benefit from relevant skills and university-approved knowledge.
Make recruitment easier
Transform the way you recruit for complex digital roles with exposure to a highly relevant pool of talent and tangible proof of what they’re capable of.
Why learn data analytics?
Data is embedded in every business decision, and the professionals who can turn it into action are among the most sought-after right now.
Demand for data analysts in Australia is forecast to grow by 23.2% over the next five years – faster than the average across all occupations.
AI is also reshaping data analytics. As routine tasks become automated, employers increasingly value analysts who combine technical expertise, AI skills and critical thinking.
For professionals looking to build a resilient, high-growth career in data, the skills that matter most are precisely those this program is built to develop.
SKILLS
Develop the skills employers value most
Career Accelerators combine technical expertise with the commercial, professional and personal skills needed for long-term career success.
Technical
Technical knowledge, skills, and experience in high-demand technologies.
Business
The business understanding needed to apply technical skills in a meaningful way.
Employability
Human skills essential for on-the-job performance, promotions, and leadership.
Personal
Self-awareness and reflective capabilities critical for sustained career growth.
One call to know if it fits
Whether you’re starting, changing careers or looking to specialise, a 15-minute call with an Enrolment Advisor is the fastest way to see if this programme matches your goals.