Mahidol University

What you'll study

The PhD programme combines advanced coursework with an extended independent research project leading to a doctoral dissertation. Early in the programme students normally complete a set of graduate-level courses to deepen theoretical foundations and research techniques, followed by a qualifying assessment and concentrated research under supervisory guidance.

• Core and advanced modules — theoretical computer science, machine learning and statistical methods, advanced algorithms, distributed systems and databases, and research methods.
• Specialist topics — depending on supervisor expertise and research group, students may study deep learning and computer vision, natural language processing, bioinformatics and health informatics, wireless and optical communications, cybersecurity and privacy, Internet of Things and embedded systems, or human–computer interaction.
• Research training — seminars, reading courses, research ethics and scientific communication, grant writing and academic publishing practice.
• Thesis work — independent original research culminating in a written dissertation and oral defence; students are expected to produce publishable work in international journals or conferences as part of their research progress.

Entry requirements

Applicants are expected to hold a recognised master’s degree in computer science, information technology, electrical engineering or a closely related discipline. Exceptional candidates with a strong bachelor’s degree and significant research experience may be considered in line with university policy.

• Academic record — a strong academic transcript with evidence of research ability (e.g. thesis, publications, or project work).
• Research proposal — a clear research statement outlining intended research questions, methodology and alignment with potential supervisors or research groups.
• Supervisory support — identification of and preliminary agreement from a faculty member willing to supervise the proposed research is usually required or strongly recommended.
• English proficiency — demonstrated ability in English through recognised tests or other evidence, when applicants’ prior education was not in English.
• Other assessments — applicants may be invited to interview or to sit an internal assessment; additional requirements such as CV, letters of recommendation and relevant work or research experience are typically requested.

Career prospects

Graduates of the PhD in Computer Science pursue a range of careers that require advanced research and technical leadership. Common paths include:

• Academic careers — positions as lecturers, assistant professors and principal investigators at universities and research institutes, leading teaching programmes and research groups.
• Industrial R&D — senior research scientist or research engineer roles in technology companies, focusing on AI, machine learning, computer vision, natural language processing, security and networking.
• Data science and analytics — leadership roles in data-driven organisations, developing advanced models and systems for industry sectors such as finance, healthcare and telecommunications.
• Government and policy — technical advisory and research roles in government labs, national research centres and regulatory bodies dealing with cybersecurity, digital infrastructure and innovation policy.
• Entrepreneurship and consultancy — founding or advising technology startups, providing high-level consultancy on system design, AI deployment and R&D strategy.

Why study at Mahidol University

Mahidol University provides a research-intensive environment with access to interdisciplinary collaborations across medicine, engineering and science, which is especially valuable for computing applications in health informatics and bioinformatics. The university hosts active research groups and facilities that support advanced work in AI, communications and cybersecurity, and maintains links with national research institutes and industry partners.

Doctoral students benefit from experienced academic supervisors, seminar series and opportunities to collaborate on funded projects. The university’s location and established networks in Thailand and the region facilitate participation in regional research initiatives and conferences, as well as engagement with industry partners for technology transfer and practical impact.