Program Overview

Master of Digital Infrastructure Engineering

Overview

The Master of Digital Infrastructure Engineering is a graduate coursework program that focuses on the design and development of digital infrastructure systems. Digital infrastructure engineers work on the systems that connect the physical and digital world, designing infrastructure for driving sustainable and resilient outcomes for businesses, projects, asset management, and ecosystems.

Course Details

• Course code: MC-DINFENG
• Duration: 3 years full-time, 6 years part-time
• Location: On campus (Parkville)
• Intake: March, July

Fees

• Commonwealth Supported Places (CSPs) are available
• Guaranteed CSPs for Melbourne graduates who have completed a Bachelor degree with a weighted average mark of 65%

Entry Requirements

• A relevant undergraduate major is required for a 2-year completion
• Options to specialize in:
  • Infrastructure sectors (construction, smart cities, transport, energy, water, or surveying for land management)
  • Digital technologies (AI for data analytics, IT for cloud computing and web security, or IS for managing digital infrastructure)
  • Management (project management or entrepreneurship)

Curriculum

• An industry-aligned curriculum with internships, industry projects, research, and innovation challenges
• Accredited by the Surveyors Registration Board of Victoria, with provisional accreditation sought from Engineers Australia and EUR-ACE

Career Outcomes

• Graduates will work in industries addressing pressing problems and application solutions across:
  • Architecture, Engineering, and Construction (AEC)
  • Facilities management
  • Humanitarian engineering
  • Livability, sustainability, access, health, and resilience of society

Related Study Areas

• Digital infrastructure engineering
• Engineering
• Information technology and computer science

Program Structure

• The program integrates digital resources like satellites, robots, or laser scanning with statistics, machine learning, and data simulations to visualize and communicate processes, patterns, and predictions.