Chulalongkorn University

What you'll study

The programme blends advanced core subjects, elective specialisms and a research or project component. Students typically take taught modules covering theoretical foundations and practical technologies before completing either a supervised research thesis or an industry-oriented project.

• Core topics: advanced algorithms and data structures, theory of computation, and mathematical foundations for computing.
• Systems and software: operating systems, distributed systems and cloud computing, advanced software engineering and software architecture.
• Data and intelligence: machine learning, data mining, big data management, natural language processing and applied AI.
• Networks and security: computer networks, wireless and mobile computing, information security and cryptography.
• Specialist electives: human–computer interaction, computer vision, embedded and IoT systems, robotics, database systems and performance engineering.
• Research or project: a substantial dissertation or capstone project under academic supervision; projects often involve collaboration with industry partners or research groups within the university.

Programme delivery includes lectures, laboratory practicals, seminars and supervised research. There are options for full-time study, and part-time or flexible study patterns may be available depending on faculty regulations.

Entry requirements

Applicants are normally expected to hold a recognised bachelor's degree in computer science, information technology, computer engineering, electrical engineering or a closely related field. Equivalent qualifications with substantial computing experience may also be considered.

• Academic transcripts demonstrating strong performance in relevant coursework.
• A curriculum vitae and a personal statement outlining academic interests and proposed areas of study or research.
• Letters of recommendation from academic or professional referees.
• Evidence of English proficiency if your previous degree was not taught in English; recognised tests or university-administered assessments are accepted.
• Some applicants may be asked to attend an interview or submit a research proposal if applying for the research track.

Specific prerequisites, minimum grade expectations and documentation requirements are set by the faculty; applicants should consult the programme office for precise guidance.

Career prospects

Graduates from this programme progress into a wide range of technical and leadership roles across industry, government and academia. Typical career paths include:

• Software developer or software engineer in enterprises and startups.
• Data scientist, machine learning engineer or data engineer in sectors such as finance, healthcare, telecommunications and e-commerce.
• Systems architect, cloud engineer or network engineer designing scalable infrastructure.
• Information security analyst and cybersecurity specialist protecting organisational assets.
• Researcher or lecturer, continuing to doctoral study or taking research roles in universities and R&D centres.
• IT consultant or technical product manager combining technical and business responsibilities.

Many graduates find opportunities locally in Thailand as well as with multinational companies, regional tech firms and research collaborations across Asia and beyond.

Why study at Chulalongkorn University

Chulalongkorn University is one of Thailand’s leading research universities and offers a well-established environment for advanced study in computing. Students benefit from active research groups working in areas such as artificial intelligence, data analytics, cybersecurity and embedded systems, and from access to modern laboratory facilities and computing resources.

• Research-active faculty: supervision by academics engaged in national and international research projects.
• Industry links: collaborative projects and internship opportunities with technology companies and government agencies in Bangkok and the region.
• International outlook: a diverse student body and opportunities for academic exchange and joint research with overseas partners.
• Location and networks: based in Thailand’s capital, the university provides proximity to the country’s tech ecosystem and a strong alumni network across multiple sectors.

Prospective students should contact the programme office for advice on specialisations, entrance procedures and information about scholarships or funding opportunities.