Study Artificial Intelligence in Malaysia

Courses usually start with programming, mathematics and statistics, because machine learning rests on linear algebra, probability and optimisation. They then cover machine learning, data handling, neural networks and, depending on the course, computer vision, natural language processing or robotics. Many courses also discuss the responsible use of AI, including bias, privacy and explanation, and finish with a project or a dissertation.

Artificial intelligence appears under several titles: a degree with the name in the title, a computer science degree with an AI specialisation, or a master's course in machine learning. Courses differ in how much mathematics they require and in whether they are about building AI systems or about using them in another field. Data science, computer science and information technology have their own pages, linked below.

Artificial intelligence suits students who are comfortable with mathematics and programming and who like working with data and experiments, where an approach has to be tried, measured and improved. It is a fast-moving field, so courses stress the underlying principles, which change more slowly than the tools. If you are mostly interested in analysing data for a particular field, such as business or health, the data science page may describe what you are looking for better.

Study levels in Malaysia follow a ladder. A foundation course is a pre-university year for students whose school qualification does not give direct entry to a bachelor's degree. A diploma is shorter and more practical, and some universities let diploma graduates join a degree in a later year; each university decides how much credit it gives. A bachelor's degree is the main undergraduate qualification, a master's degree follows it, and a PhD is a research degree.

At bachelor's level the subject is often a degree in computer science with an artificial intelligence emphasis. Master's courses usually expect a first degree with some mathematics or programming. A PhD is a research degree and asks for a research proposal and a supervisor. Foundation and diploma courses in computing can lead into a degree, and the credit a university gives is its own decision.

Pages for a single study level: Bachelor's Degree in Artificial Intelligence in Malaysia

Check how much of the course is about artificial intelligence and how much is general computing, and read the list of subjects on the course page. Look at the mathematics and programming the course expects before you apply, and at whether it includes a project that uses real data.

• Entry requirements. They differ between universities and courses. Compare the entry requirements on the course page with your own certificates.
• English language. Most courses state a minimum score in a test such as IELTS. The scores stored for these courses are in the summary above.
• Recognition. Each university states how its courses are approved or accredited. Zawqari does not confirm a university's status, so ask the university to confirm it in writing if it matters for your plans.
• Fees and intakes. Fees and intake months are set by the universities and can change. Each course page shows the source and date of every figure.

Listed alphabetically. The order is not a ranking.

• Asia Pacific University of Technology & Innovation4 courses
• City University Malaysia2 courses
• Lincoln University College1 course
• Multimedia University2 courses
• UCSI University1 course
• Universiti Kuala Lumpur1 course
• Universiti Tenaga Nasional2 courses

• Study Artificial Intelligence and Data Science in Malaysia

  Artificial intelligence, machine learning, data science and analytics courses in one list.

• Study Data Science in Malaysia

  Data science and data analytics courses.

• Study Computer Science in Malaysia

  Computer science courses: programming, algorithms, software and the theory behind computing.

Need to improve your English first? See English courses at language centres in Malaysia.