The University of Tokyo

What you'll study

The Master's programme is organised around advanced taught modules and a supervised research project leading to a thesis. Students typically take core and elective courses that build depth in a chosen speciality, while engaging directly with a research laboratory from early in the programme.

• Core and elective coursework: advanced algorithms, machine learning and statistical learning theory, computer vision, natural language processing, distributed systems, operating systems, networks, databases, formal methods, and human–computer interaction.
• Research seminars and reading groups: regular seminars led by faculty and research groups, journal clubs and presentation practice aimed at developing research skills and critical appraisal.
• Laboratory research and thesis: sustained research under a faculty supervisor, often resulting in a thesis and peer‑reviewed publications; research topics reflect the strengths of host laboratories (for example AI, robotics, computational neuroscience, cybersecurity, or theoretical computer science).
• Optional practical modules: project courses, internships or collaborative projects with industry partners or research institutes to gain applied development experience.

Entry requirements

Applicants should hold a bachelor's degree in computer science, information engineering, electrical engineering, mathematics or a closely related discipline, with a strong academic record. Typical application components include:

• Official transcripts from previous universities.
• A research statement or proposal outlining intended research areas and potential supervisors.
• Letters of recommendation from academic or professional referees who can comment on research potential.
• Evidence of programming and mathematical competency; prior coursework or project experience in relevant areas is expected.
• Proof of language proficiency when required: applicants may need to demonstrate English ability (for programmes or supervisors that work in English) and/or Japanese ability if the research or coursework is conducted in Japanese. Accepted tests and required levels are set by the Graduate School.
• Some applicants are asked to attend an interview or provide additional materials such as a portfolio of projects, code samples or published papers.

Career prospects

Graduates from The University of Tokyo's Computer Science Master's programme move into a wide range of roles across academia, industry and public research. Common pathways include:

• Doctoral study and academic research, continuing with a PhD in Japan or internationally.
• R&D engineer or research scientist roles in large technology companies, startups and multinational labs focusing on AI, data science, robotics, or systems engineering.
• Software engineering, systems architecture, and product development positions in software, finance, telecoms and manufacturing sectors.
• Technical specialist roles in government research institutes and national laboratories, or technology transfer and innovation roles in industry collaborations.

Why study at The University of Tokyo

The University of Tokyo offers access to a world-class research environment and a broad network of interdisciplinary collaborators. The Computer Science programme is embedded within research institutes and laboratories that maintain strong links with industry partners, national research organisations and international collaborators, enabling students to work on cutting‑edge problems.

Studying in Tokyo provides practical advantages: proximity to Japan's vibrant technology sector, opportunities for internships and industry collaboration, and access to major research centres. Small research groups and supervision by leading faculty help students develop rigorous research skills and a publication record, preparing them for both academic and industrial careers.