The University of Tokyo

Japan
3 Scholarships 17 Programs 1 Degree levels

The MI (Master of Informatics) at The University of Tokyo is a research-oriented master's programme focused on core and applied areas of information science and technology. It suits graduates who want to deepen technical expertise, undertake independent research, and prepare for careers in R&D, advanced development roles or doctoral study.

What you'll study

The programme combines advanced coursework with supervised research to develop both breadth and depth in informatics. Core topics typically include algorithms and complexity, machine learning and statistical methods, databases and information retrieval, computer networks and distributed systems, software engineering, human–computer interaction, and theoretical foundations of computation. Students also study applied areas such as image and signal processing, natural language processing, cybersecurity, embedded systems and data science, depending on the research groups they join.

Teaching formats include lectures, seminars, lab work and project-based modules. A research seminar series and regular group meetings are central to the experience, and students work under the guidance of a faculty supervisor to design and carry out a research project that culminates in a master's thesis. Elective courses and cross-disciplinary options are available to reflect the University’s emphasis on interdisciplinary collaboration.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree (or equivalent) in computer science, electrical engineering, mathematics, information science or a closely related discipline. Strong mathematical and programming foundations are important. Typical application requirements include official academic transcripts, a statement of purpose or research proposal, letters of recommendation and a curriculum vitae.

Admission processes frequently require direct contact or acceptance by a prospective supervisor, and may include an interview. As The University of Tokyo receives applications from domestic and international candidates, proficiency in English and/or Japanese may be required depending on the language of instruction and the student’s intended research environment; some courses and supervision are available in English, while others may require Japanese ability. Applicants should consult the graduate school’s admissions guidance for exact documentation and any entrance examination or oral assessment details.

Career prospects

Graduates move into a wide range of roles in industry, government and academia. Common career paths include research and development positions in technology companies and industrial research labs, data scientist and machine learning engineer roles, systems and software engineering, and product development. Many graduates continue to doctoral study and academic careers, or take up positions in public-sector research institutes and international organisations. The programme’s strong research training also prepares students to join startups or take technical leadership roles where deep technical and problem-solving skills are required.

Why study at The University of Tokyo

The University of Tokyo offers access to established research groups across multiple informatics specialisms and close collaboration with leading faculty and research centres. Students benefit from well-equipped laboratories, computing resources and a collaborative environment that encourages interdisciplinary projects with engineering, physical sciences and social sciences departments.

Located in Tokyo, the university provides proximity to a vibrant technology ecosystem, including large multinational companies, research institutes and startups, which can facilitate internships, industry collaboration and networking. The University of Tokyo’s research culture emphasises rigorous training and original contribution, preparing students for high-level technical careers and further academic study.

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Programme details are indicative and may change — always verify current information with the official university website before applying.