Bachelor of Artificial Intelligence

To complete the Bachelor of Artificial Intelligence you must pass 24 credit points. This includes: DAI001 Academic Integrity and Respect at Meridian University (0-credit-point compulsory unit) in your first study period STP010 Career Tools for Employability (0-credit-point compulsory unit) 17 credit points of core units 3 credit points of capstone units 4 credit points - one of: 4 credit points of open elective units 1 minor (4 credit points) a maximum of 10 credit points at level 1 a minimum of 6 credit points at level 3. Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year. Students are required to meet the University's academic progress and conduct requirements.

Duration: 3 years full-time equivalent.

This course lists 19 core units and 3 capstone units.

Year 1

Core units

• Academic Integrity and Respect at Meridian University
• Career Tools for Employability
• Computer Networks and Communication
• Computer Systems
• Database Fundamentals
• Discrete Mathematics
• Introduction to Data Science and Artificial Intelligence
• Introduction to Mathematical Modelling
• Introduction to Programming
• Object-Oriented Development

Year 2

Core units

• Computational Intelligence
• Data Structures and Algorithms
• Data Wrangling
• Linear Algebra for Data Analysis
• Machine Learning
• Professional Practice in Information Technology

Year 3

Core units

• Deep Learning
• Natural Language Processing
• Robotics, Computer Vision and Speech Processing

Capstone units

• IT Placements and Industry Experience + (capstone)
• Professional Practice + (capstone)
• Team Project (A) - Project Management and Practices (capstone)

Your academic history, work and life experience, and individual circumstances will be considered. Meeting the minimum academic and English language requirements does not guarantee admission, but alternative pathways may be available.

Country-specific entry scores are published for 27 qualification systems, including Taiwan, United Kingdom, United States, Australia, Canada, China.

published — stated on the source page. confirmed — attested by the institution. indicative — fabricated for this specimen from standard test equivalences; no source states it.

AI offers an exciting future for students, with industries increasingly investing in learned behaviour and operational efficiency. However, this is the tip of the iceberg, and many more challenging real-world problems remain to be solved. According to the World Economic Forum’s ‘Future of Jobs Report 2025’, AI and machine learning specialists are among the top five fastest-growing jobs worldwide. As a graduate, you’ll be ready to thrive in this booming field, equipped with the specialist knowledge to design, develop and operate AI-driven software solutions across a wide range of industries. You may find employment as a data engineer, data scientist, data analyst, AI engineer, AI ethicist or AI architect, to name a few.