The University of Tokyo

What you'll study

Exact modules depend on which Ci specialism you mean, but master’s programmes in Ci at The University of Tokyo typically combine theoretical foundations, applied methods and a research thesis. Core topics often include machine learning and optimisation, statistical inference, neural networks and deep learning, data representation and visualisation, signal processing, and advanced algorithms. Interdisciplinary streams add courses in human–computer interaction, computational neuroscience, cultural analytics, digital humanities or creative technologies, depending on the programme focus.

• Core technical modules: probability and statistics for engineers, optimisation methods, advanced machine learning, signal processing, pattern recognition.
• Applied and interdisciplinary modules: human–computer interaction, computational creativity, data visualisation, digital media technologies, cognitive modelling.
• Research training: seminars, laboratory rotations, and an independent master’s thesis or project supervised by a faculty member.
• Optional skills and professional development: project management, research ethics, scientific communication, and opportunities for industry-linked internships depending on the department.

Entry requirements

Admission to a master’s Ci programme at The University of Tokyo normally requires a recognised undergraduate degree in a relevant discipline (for example computer science, engineering, mathematics, cognitive science, media or related fields), a strong academic record and evidence of research potential. Most applicants submit a research statement or proposal that aligns with potential supervisors’ interests.

• Official undergraduate transcripts and degree certificate (or a statement of expected completion).
• Research proposal or statement of purpose describing academic background, research interests and proposed supervisor(s) where applicable.
• Two or more academic references that can speak to research ability and preparedness for graduate study.
• Proof of language proficiency: English (for English-language streams) or Japanese, according to the programme’s language of instruction; specific tests and minimum scores vary by course.
• Some departments may ask for coding samples, publications, portfolio pieces (for creative/Cultural Informatics), or an interview as part of selection.

Career prospects

Graduates from Ci master’s programmes have a broad set of career paths. Technical graduates often move into roles in data science, machine learning engineering, AI research and development, software engineering, and systems design within technology companies, startups and research labs. Interdisciplinary Ci specialisms feed into careers in digital media, creative technology, user experience design, cultural analytics, and applied research in healthcare, robotics or finance.

Many alumni also continue to doctoral study or take up roles in public research institutes and industry R&D groups, where they work on advanced prototypes, algorithm development and cross-disciplinary projects linking computing with the social sciences, arts and natural sciences.

Why study at The University of Tokyo

The University of Tokyo offers access to leading researchers, well-equipped laboratories and an interdisciplinary environment that encourages collaboration across engineering, science, humanities and the arts. Students benefit from links with industry in Tokyo’s technology ecosystem, joint research projects, and opportunities to work with internationally active research groups. The university’s emphasis on rigorous research training and its broad course offerings make it a strong choice for students seeking advanced technical training or interdisciplinary practice in Ci.

If you confirm which specific "Ci" programme you mean, I can tailor the modules, entry requirements and career examples to that exact master’s course at The University of Tokyo.