Bachelor of Computer Science in Artificial Intelligence (Monash Malaysia)

KPT/JPT (N/0613/6/0135) 11/30 - MQA/PSA 18789

Build the AI systems that shape the world.

Artificial intelligence is transforming our world at an unprecedented pace, shaping how we connect, create, and solve problems across every field. With global demand for AI talent rising, the opportunity to make a lasting impact has never been greater.

At Monash, you will explore the foundations of computer science while gaining deep insight into the ideas and technologies that power modern AI. You’ll discover how intelligent systems learn, how data becomes knowledge, and how innovative solutions can improve lives.

You will graduate ready to contribute to a world where intelligent technologies drive progress, create opportunity and empower global communities.

What you'll learn

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.

By completing the course, you'll gain:

• 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.

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Course map

Handbook

Course guide

A future powered by AI

A career in AI offers rapid growth and exceptional opportunities. AI and Machine Learning Specialists are among the fastest-growing roles through 2030, with global hiring up 300% in the last eight years and 88% of C-suite leaders prioritising faster AI adoption. The demand for skilled AI professionals has never been higher.

Sources: World Economic Forum Future of Jobs Report 2025 and Linkedin Work Change Report January 2025

At a glance

Areas of study

Why Monash?

Career paths

Entry requirements

Duration

3 years

Intakes

February, July and October

Fees

In 2027, the annual tuition fees for this course are:

• RM48,480 for Malaysian students
• RM57,600 for international students.

General fees

• Application (once only) - RM100
• Registration (once only) - RM200
• General amenities (per semester) - RM100
• International student pass application - Click here.

Credit transfer

Applications for credit can include credit transfer for previous study or recognition of prior learning.

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.

More information The Monash University Handbook has detailed information about the course structure and requirements.

Download the course map here.

Quality education Monash University is ranked #48 in the world for data science and artificial intelligence and #51 for computer science and information systems (QS World University Rankings by Subject 2026). Your degree will be globally recognised.

Professionally accredited The Bachelor of Computer Science in Artificial Intelligence is accredited by the Australian Computer Society.

Digital tech excellence The School of Information Technology is a Premier Digital Tech Institution, recognised by the Malaysia Digital Economy Corporation, in collaboration with the Ministry of Higher Education and industry experts.

Strong employability Our IT graduates are highly sought after by leading organisations worldwide, recording an exceptional 95% employability rate in the Ministry of Higher Education Malaysia's Graduate Employment Rate 2024 study.

Get hands on Apply for the Industry-based Learning program and join a leading IT organisation for a 22-week industrial placement. This is a great opportunity for you to apply the skills you’ve learnt in the classroom in the corporate world.

Go for an internship As an alternative to the IBL program, you’re required to go for a 12-week internship after your second year. Our students have interned for Astro, Axiata, Intel, Mimos Berhad, Petronas, and more.

Broaden your perspective As a Monash IT student, you’ll have special access to career talks and panel discussions with invited industry guests, industry competitions, as well as professional certification programs.

Spaces designed to inspire Our classrooms encourage creativity and collaboration, featuring flexible workspaces with the latest technology. Dedicated labs for multimedia, AI, networking, including a hands-on data centre and high-performance computing facility, further enrich your learning experience.

Student Leaders Network Engage with industry professionals through workshops, industry site visits, networking evenings, and a student-organised leadership summit. You'll develop critical employability skills, including leadership, teamwork and communication skills.

Bursaries Receive a 10% tuition fee waiver when you successfully enrol in the course. Click here for more details.

Your skills will prepare you for diverse pathways in technology, health, finance, defence, government and research around the world. 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.

To enter Monash University, students must satisfy particular academic, English language and age requirements.

Entry score

You will need the following entry scores for the Bachelor of Computer Science in Artificial Intelligence:

*The undergraduate entry requirements published are for students who commence the MUFY program in 2025.

**The Malaysian Qualification Agency (MQA) accepts a minimum D Grade in A Level to be equivalent to the STPM Pass grade. For more information, please click here.

***The Monash College Diploma Part 2 entry requirements published are for students commencing their undergraduate destination degree in 2026.

Note: According to the MQA Program Standards, only Diploma applicants who completed a Diploma in Science and Technology or a Diploma in Computing fields can be considered for enrolment into a bachelor’s degree in computer science.

∆ To be assessed based on case-by-case basis.

Prerequisites

Mathematics (Australian Year 12 Higher equivalent) is a formal prerequisite for the Bachelor of Computer Science in Artificial Intelligence.

Courses with maths and science prerequisite subjects

If the course you are applying for requires maths and/or science as prerequisite subjects, you can meet the requirements in the following ways:

• Australian Year 12 or International Baccalaureate (IB) Diploma Programme: You must meet the maths and/or science prerequisite subject required for your chosen course as specified above.
• Other qualifications recognised by Monash: If you have completed maths and/or science subjects in the relevant discipline at the required grade level, it is assumed that you have knowledge equivalent to the Australian Year 12 (VCE equivalent) prerequisite subject required for your chosen course. It is strongly recommended that you check that you have covered the assumed knowledge required for your course by completing the Assumed Knowledge Skills Analysis. This online activity includes multiple-choice questions based on your prior studies and helps you identify areas for revision, so you can start your course feeling confident and prepared. Once you accept your Monash offer and set up your student account you can complete the Assumed Knowledge Skills Analysis before starting your course.

These guidelines do not apply to the Bachelor of Medical Science or Doctor of Medicine.

Related courses

• Bachelor of Computer Science
• Bachelor of Computer Science in Data Science
• Bachelor of Computer Science (Honours)

Get in touch

For more information about this degree, contact us.