Course Overview

About This Course

The Master of Enterprise Artificial Intelligence is an interdisciplinary program that combines core principles of computer science and artificial intelligence with business and entrepreneurial thinking. This program is designed to equip students with both the technical skills and commercial acumen necessary to develop, implement, and manage AI-driven business solutions and digital systems across diverse settings, including business, government or Not-For-Profit organisations. Positioned as a hybrid version of a full computer science degree, the program provides strong foundations in programming, systems analysis, databases, and Artificial Intelligence/Machine Learning (AI/ML) toolkits including agentic AI, while emphasising their application to solving real-world business problems in areas such finance, operations, marketing and strategy. The curriculum integrates applied computing with business analytics, entrepreneurship, innovation, and enterprise software development to prepare graduates for roles in solution delivery, digital transformation, business intelligence, technology consulting, product management, and data-driven strategy.

Eligibility

Entry Requirements

Requirements

Successful completion of a recognised Bachelor degree (or equivalent qualification) in any field.
English language proficiency: IELTS Academic overall score 6.5 with no sub-score less than 6.0; OR PTE Academic overall score 58 with no Communicative Scores below 50; OR TOEFL iBT overall score 79 (no scores below 21 in Writing, 18 in Speaking, and 16 in Reading and Listening).
Alternative entry: Prior work experience may be used to apply for entry — documentation of employment history including a statement from employer about position, time in role, and a brief overview of the role performed.
Credit for prior learning may be available for previous tertiary studies upon submission of academic transcripts and detailed subject outlines.

Career & Study Pathways

Where this takes you

Career Opportunities

The program prepares graduates for specialist and leadership roles in digital transformation, enterprise systems, product innovation and technology-enabled strategy. Graduates are prepared for roles in solution delivery, digital transformation, business intelligence, technology consulting, product management, and data-driven strategy across business, government and not-for-profit organisations. Career progression and specialist roles include digital transformation, technology consulting, business intelligence, product and innovation, and data-driven strategy.

Course Content

Units of Competency

All Units13 units

Computational Thinking and Algorithmic Problem Solving

Develop computational thinking and algorithmic skills to design efficient solutions (Semester 1)

Systems and Networks

Understand how modern systems and networks operate (Semester 1)

Cybersecurity Foundations

Learn how cybersecurity underpins resilient digital environments (Semester 1)

Programming and Data Structures

Apply programming, data structures and systems knowledge to real business and organisational problems (Semester 1)

Modern Programming Paradigms and AI Assisted Development

Explore modern programming paradigms and AI assisted development (Semester 2)

Data Management

Strengthen data management skills across relational and non-relational databases (Semester 2)

Data and Insight-Driven Decision Making

Learn how data supports insight-driven decision making (Semester 2)

Innovation Elective

Apply skills to emerging challenges, new ideas and enterprise opportunities (Semester 2)

Software Engineering and AI Assisted Development

Explore modern software engineering practices including system design, testing, quality assurance and AI assisted development (Semester 3)

Advanced Data Science

Build advanced data science skills to extract insights from complex datasets (Semester 3)

Responsible and Sustainable Business Practices

Develop understanding of governance, ESG considerations and the role of technology in shaping organisational decision-making (Semester 3)

Enterprise AI Electives

Specialised AI subjects tailored to career goals (Semester 4)

Capstone Enterprise AI Project

Design and deliver an AI driven solution to a real-world business problem demonstrating ability to integrate technical expertise, business insight and ethical judgement (Semester 4)

Common Questions

Frequently Asked Questions

What industry partnerships support this program?

Bond's Enterprise AI programs are supported by global automation leader Automation Anywhere, a pioneer in intelligent automation and AI-driven business transformation. Through this partnership, 35 students will receive training scholarships to gain industry-recognised certification, equipping them with practical skills in automation and enterprise AI technologies.

What kind of facilities and resources will I have access to during the program?

Students have unrivalled access to state-of-the-art learning resources including the Bond FinTech Hub, Commercialisation Centre, Centre for Data Analytics, and Transformer. These resources support hands-on learning and applied projects throughout the program.

What career roles can I pursue after completing this degree?

Graduates are prepared for specialist and leadership roles in digital transformation, enterprise systems, product innovation and technology-enabled strategy. Specific roles include solution delivery, business intelligence, technology consulting, product management, and data-driven strategy across business, government and not-for-profit organisations.

Is there an opportunity to work on real-world projects during the program?

Yes. The program includes industry case studies, applied projects, and opportunities for internships and global study experiences. In the final semester, students complete a capstone enterprise AI project where they work independently or with industry partners to design and deliver an AI-driven solution to a real-world business problem.

Is this program accredited by any professional bodies?

Yes, the program holds accreditation from the Association to Advance Collegiate Schools of Business (AACSB) and the European Foundation for Management Development (EFMD EQUIS), which are two of the most prestigious accreditations in business education.

Application

How to Apply

Three simple steps to get enrolled

Step 01

Enquire

Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.

Step 02

Submit Documents

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Step 03

Get Enrolled

Receive your offer letter and confirm your enrolment. Welcome to the course!

Processing time: Offer letter issued within approximately 1 business days.

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Master of Enterprise Artificial Intelligence