Master’s in AI-First Event Management
The Master’s in AI-First Event Management is a 100% online professional master’s program (1,500 hours, 12 months) for anyone who wants to build a career in ai-first event management. You learn through practical modules and real case studies, guided by tutors with industry experience, and finish with a capstone project.
New intake every two months · Interest-free payment plans · ESINEV certificate of completion (non-accredited training).
Price:
$9,359.00
General Information
- Level: Professional Master's Program
- Mode: Online
- Type: Events
- Duration: 12 months
- Hours: 1,500 hours
- Enrollment period: Open
- Start date:
- Financing: Up to 12 monthly payments
About the Master’s in AI-First Event Management
Career outcomes of the Master’s in AI-First Event Management
The Master’s in AI-First Event Management prepares you to work with confidence on projects related to AI-First Event Management. You will learn to:
- Analyse needs, risks and opportunities.
- Design realistic solutions, plans and procedures.
- Coordinate teams, vendors and resources.
- Define KPIs to measure and improve results.
Content of the Master’s in AI-First Event Management
1,500-hour program over 12 months, 100% online. The curriculum combines technical knowledge, tools and hands-on practice in AI-First Event Management.
Module 1: Foundations and industry context
Key concepts, terminology and current trends in AI-First Event Management, and how they apply to different types of events in the Australian market.
Module 2: Needs analysis, audiences and data
How to diagnose requirements, understand attendees and stakeholders, and use data to make better decisions.
Module 3: Designing solutions and experiences
Building proposals and attendee experiences that meet objectives, budget and brand standards.
Module 4: Operational planning, budgeting and resources
Turning ideas into executable plans: timelines, budgets, staffing and logistics.
Module 5: Tools, technology and automation
Digital tools, platforms and AI that streamline AI-First Event Management workflows.
Module 6: Team and vendor coordination
Working with internal teams, contractors and vendors: briefs, contracts and follow-up.
Module 7: Risk, quality and compliance
Identifying risks, applying quality standards and meeting legal and regulatory requirements.
Module 8: KPIs, measurement and evaluation
Defining KPIs, collecting data and evaluating results to improve future events.
Module 9: Communication, sales and reporting
Presenting results, preparing proposals and communicating value to clients and stakeholders.
Module 10: Leadership and project integration
Leading multidisciplinary projects end to end and integrating every area covered in the program.
Capstone project
A complete AI-First Event Management project for a real or simulated event: diagnosis, objectives, plan, budget, risks, KPIs and conclusions.
