Artificial Intelligence – Honours Bachelor

Program Overview

The Honours Bachelor of Artificial Intelligence equips students with the skills and knowledge to design AI solutions, emphasizing both technical theory and ethical considerations. Through a combination of coursework, a field placement, and a capstone project, graduates develop project management, critical thinking, and analytical abilities, preparing them for careers in the rapidly growing AI industry.

Program Outline

Degree Overview:

Developed in response to artificial intelligence (AI) transforming organizational processes globally, the Honours Bachelor of Artificial Intelligence will teach skills, tools, and techniques for designing AI solutions. It emphasizes both technical theory and topics such as legal, social, and corporate responsibilities. This learning, combined with a field placement and capstone project, will equip graduates with project management, critical thinking, and analytical skills.

Outline:

• Semester 1:
• Breadth Elective Credit
• Introduction to Artificial Intelligence
• Introduction to Computer Programming
• Introduction to Information Systems
• Statistics
• Semester 2:
• Breadth Elective Credit
• Introduction to Data Science
• Programming for Artificial Intelligence
• Discrete Math
• Linear Algebra
• Semester 3:
• Breadth Elective Credit
• Introduction to Machine Learning
• Data Structures and Algorithms
• Ethics and Privacy in Artificial Intelligence
• Calculus
• Semester 4:
• Breadth Elective Credit
• Machine Learning - Classification
• Machine Learning - Regression
• Data Management
• Systems Analysis and Design
• Semester 5:
• Breadth Elective Credit
• Introduction to Artificial Neural Networks
• Data Visualization
• Human-Computer Interaction
• Societal and Legal Issues in Artificial Intelligence
• Semester 6:
• Breadth Elective Credit
• Machine Learning - Clustering and Dimensionality Reduction
• Computer Vision
• Natural Language Processing
• Field Placement Preparation
• Research Methods
• Field Placement - Degree: A work-integrated learning experience in the AI industry.
• Semester 7:
• Breadth Elective Credit
• Advanced Neural Networks: Deep Learning for Sequential Analysis
• Advanced Neural Networks: Deep Learning for Spatial Analysis
• Deploying Artificial Intelligence Systems
• Project Management
• Semester 8:
• Breadth Elective Credit
• Reinforcement Learning
• Special Topics: Agile Artificial Intelligence
• Capstone Project

Careers:

Potential Career Paths:

• AI, data, or machine-learning engineer
• Automation architect
• Business intelligence analyst
• Data analyst
• Data analytics developer
• Data scientist
• Deep learning engineer

Potential Employers:

• Technology companies
• Start-ups
• Financial institutions
• Health care providers
• Research organizations