GraduateComputer Science
Master of Enterprise Artificial Intelligence
Bond University, Gold Coast, QLD, Australia
About this program
A four-semester master's (about 16 months on Bond's three-intake calendar) that builds AI capability from the ground up for people who will lead it inside an organisation rather than research it. Semester one covers programming foundations in Python, computational thinking, systems and cybersecurity; semester two moves to advanced programming and relational and non-relational data management; semester three adds software engineering practice, advanced data science and a responsible-business subject; the final semester is specialised AI electives and a capstone enterprise AI project.
Students shape the degree through electives in areas such as digital transformation, business intelligence, product innovation and data-driven strategy, and use the Bond FinTech Hub, Centre for Data Analytics and the Transformer entrepreneurship space. It is accredited by AACSB and EQUIS, and it replaced Bond's earlier Master of Business Data Analytics. It suits graduates and working professionals aiming for roles where AI and business strategy meet across business, government and the not-for-profit sector.
Fees & duration
English test scores
Verified bond.edu.au ↗
Course structure
- BUSN71-200Responsible and Sustainable Organisations
- DTSC71-200Data Science
- ENAI71-100Thinking with AI
- ENAI71-101Cybersecurity
- Networks and Operating Systems
- ENAI71-102Algorithms and Data Structures with AI-Assisted Implementation
- ENAI71-200Programming Paradigms and AI Principles
- ENAI71-202Data Management
- ENAI71-301Software Design
- Maintenance and AI integration
- ENAI71-304Applied Enterprise AI Project Enterprise AI Option: DTSC71-300 Infrastructure for Data Analytics
- DTSC71-301Deep Learning Through Neural Networks
- DTSC71-305Financial Trading Systems
- DTSC71-306Modern Machine Learning Models
- ENAI71-111AI for Business Professionals
- FINC71-201Financial Applications and Analysis
- MKTG71-315Marketing Analytics Innovation Choice: ENFB71-104 Entrepreneurship and Innovation
- MGMT71-311Leading Innovation and Change
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
Successful completion of a recognised Bachelor degree (or equivalent qualification) in any field.
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