Studying Computer Science and AI Across Asia: Programs, Entry and What to Expect

What this guide covers

This is a field guide to studying computer science (CS) and artificial intelligence (AI) across East and Southeast Asia — how degrees are organised, what entry looks like, and where each destination publishes official program information. It is not a rankings list and makes no placement or salary claims.

Every specific number — tuition, deadlines, class sizes, cut-offs — changes by intake, so use this as a map and verify the current details on the official university or government website before applying.

How CS and AI degrees are organised

At undergraduate level, CS is usually a full bachelor's degree (commonly around three to four years depending on the system), while AI is often a specialisation, track or elective set within CS, data science or engineering rather than a separate undergraduate degree everywhere.

At postgraduate level, dedicated master's degrees in AI, machine learning, data-driven computing and related areas are increasingly common, alongside research master's and doctoral routes. Whether a program is coursework-heavy or research-heavy differs by university — check the official curriculum.

• Undergraduate: CS as a full degree; AI often a specialisation within CS/engineering
• Postgraduate: dedicated AI/ML master's plus research master's and PhD routes
• Coursework vs research balance varies — read the official curriculum

English-taught options across the region

Singapore and Hong Kong deliver many CS and AI programs in English, and Malaysia has a large English-medium sector. Japan, South Korea, Taiwan and China all offer a growing set of English-taught CS/AI programs, particularly at master's level, alongside local-language degrees.

If instruction is in the local language, expect a language-proficiency requirement in that language. For English-taught programs, an English test such as IELTS or TOEFL is common. Confirm the language of instruction and the accepted tests on the official course page.

Prerequisites and portfolios

CS and AI admissions typically value a solid mathematics background (calculus, linear algebra, probability) and, for some programs, prior programming experience. Undergraduate entry usually rests on school-leaving results and sometimes an entrance test; master's entry looks at your degree, transcripts, a statement of purpose and, in some cases, GRE scores or a portfolio of projects.

Requirements are program-specific and change over time. Treat any list you see elsewhere as indicative only, and verify the exact prerequisites, tests and documents on the official admissions page.

Where to find official program information

Each destination has an official national study portal and each university an admissions site; together they list the real entry requirements, application windows, fees and steps. These are the sources to rely on — not forums, agents or ranking blogs.

Apply directly wherever possible. Be wary of anyone promising guaranteed admission or scholarships for a fee: no one can guarantee a place, and such offers should be treated as a scam warning. Any visa steps are general information here, not immigration advice — check the official government source for current rules.