Information Technology 2026 | Page 14

3 years February, July and October
RM47,040 Malaysian student
RM54,720 International student 2026 fees per year

BACHELOR OF COMPUTER SCIENCE IN ARTIFICIAL INTELLIGENCE

KPT / JPT( N / 0613 / 6 / 0135) 11 / 30- MQA / PSA 18789
Professionally accredited Industrial training
CAREER PATHS You’ ll be equipped to pursue a wide range of AI-driven careers, including:
• computer scientist
• algorithm and software developer
• autonomous systems developer
• AI product specialist / consultant
• AI ethics and safety specialist
• AI wrangler
• computer vision specialist
• generative AI specialist
• human AI interaction specialist
• machine learning researcher
• machine learning / deep learning developer
• AI robotics engineer.
You’ ll be able to work in a wide range of industries, such as:
• autonomous systems and smart mobility
• cloud computing and data centres
• consulting and professional services
• creative and generative media
• cybersecurity and digital trust
• e-commerce and digital platforms
• energy and sustainability
• finance and fintech
• digital health
• logistics and smart cities
• research and development
• robotics and advanced manufacturing.
Build the AI systems that shape the world.
Artificial intelligence is transforming our world at an unprecedented pace. It shapes the way we connect, create and solve problems, and it is redefining what is possible across every field. As the global demand for AI talent continues to rise, the opportunity to make a lasting impact has never been greater.
This degree invites you to be part of that future. At Monash, you will explore the foundations of computer science while gaining deep insight into the ideas and technologies that power modern AI. You will discover how intelligent systems learn, how data becomes knowledge and how innovative solutions can improve lives in meaningful ways. Your skills will prepare you for diverse pathways in technology, health, finance, defence, government and research, in Australia, Malaysia and around the world.
Your journey at Monash is shaped by experience and inspired by curiosity. Through hands-on learning, immersive projects and a full-year capstone experience, you will design and build AI solutions that address real challenges. You will also engage with the ethical and social responsibilities of this rapidly evolving field, preparing you to lead with integrity and purpose.
You will graduate ready to contribute to a world where intelligent technologies drive progress, create opportunity and empower global communities. With a Monash education, you will be equipped not only to succeed, but to shape what comes next.
Professionally accredited
This course is accredited by the Australian Computer Society.
Areas of study
We offer the following subjects on demand:
• Foundation of computing
• Introduction to artificial intelligence
• Symbolic artificial intelligence and machine learning
• Generative artificial intelligence
• Intelligent agents
• Deep learning
• Malicious AI and dark side security
• Parallel computing.
What you’ ll learn
Pursuing artificial intelligence, your learning experience includes:
• foundational technical skills in programming, algorithms, data structures, and computer systems that underpin AI development
• core AI techniques and its theoretical foundations spanning symbolic reasoning, machine learning, deep learning, and generative AI, preparing you to build AI-powered applications
• intelligent system design, including intelligent agents, neural architectures, for building real-world autonomous systems that perceive, reason, and act
• ethical and societal implications of AI technologies, including responsible deployment, mitigation, and the social impact of intelligent systems
• communication and professional skills critical for explaining complex AI concepts to diverse stakeholders and collaborating in multidisciplinary teams.
Course structure
This course comprises 144 points, of which 96 points must be from computer science study and 48 points are used to provide additional depth or breadth through elective study.
Elective units
LEVEL ONE
• Programming fundamentals in Java
• Introduction to software engineering
• Introduction to data science
LEVEL TWO
• Operating systems
• Mobile application development
• Introduction to cybersecurity
• Object-oriented design and implementation
• Modelling for data analysis
• Programming paradigm
• Software engineering process and management
LEVEL THREE
• Emerging and advanced topics in artificial intelligence
• Malicious AI and dark side security
• Data analytics
• Computer architecture
• Big data management and processing
• Parallel computing
• Software engineering: Architecture and design
• Advanced data structures and algorithms
• Business intelligence and data warehousing
• Industry-based learning( equivalent to three units, i. e. 18 points of level three elective units).
Bursaries
Receive a 10 % tuition fee waiver when you successfully enrol in this course. Visit � monash. edu. my / scholarships for details.
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