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See the degree grade →The Master's programme in Computational Intelligence (Ci) at The University of Tokyo trains students in statistical learning, optimisation and intelligent systems design for advanced research and industry roles. It is suited to graduates with a quantitative or computing background who want to develop skills in machine learning, signal processing and applied AI within a research-intensive environment.
This programme combines theoretical foundations and hands-on practice in computational intelligence. Core topics typically include statistical learning theory, machine learning algorithms, neural networks and deep learning, optimisation methods, probabilistic modelling and pattern recognition. Students also study related areas such as signal processing, computer vision, natural language processing and robotics depending on their chosen supervision.
Teaching is delivered through seminars, lectures, laboratory work and a substantial research project. Typical components are advanced seminars on topics in intelligence and data, laboratory rotations with research groups, practical programming and systems classes, and an independently supervised master's thesis. Elective modules allow students to pursue interdisciplinary applications in areas such as bioinformatics, finance, human–computer interaction and cognitive science.
Applicants are normally expected to hold a bachelor’s degree in computer science, engineering, mathematics, physics or a closely related discipline, with a strong quantitative background. Admissions commonly require an academic transcript, a statement of purpose or research plan, and at least two academic references. International applicants must demonstrate proficiency in English; some research groups may also expect Japanese language ability for projects involving local collaborators.
Selection typically considers prior coursework and research experience, the fit between the applicant’s research interests and available supervisors, and performance at any required interview or entrance examination. Relevant practical experience—such as coding projects, publications, or internships—can strengthen an application.
Graduates move into a range of research and technical roles across industry and academia. Common destinations include R&D positions in technology companies (machine learning engineer, data scientist, AI researcher), research institutes, and high-tech start-ups. Other career paths include roles in finance and quantitative analysis, robotics and autonomous systems, software development for intelligent products, and continued study at the doctoral level leading to academic or research careers.
Students also find opportunities in public-sector research, industrial collaborations facilitated by university partnerships, and interdisciplinary teams where computational intelligence methods are applied to healthcare, environmental monitoring and urban technologies.
The University of Tokyo offers a research-intensive environment with access to leading faculty in computational intelligence and closely allied laboratories across engineering, information science and related disciplines. Students benefit from a culture of strong academic supervision, regular research seminars and collaboration opportunities with industry partners in the Tokyo metropolitan area.
Facilities include modern computational resources, specialised laboratories and a range of interdisciplinary centres that support application-driven projects. Studying at The University of Tokyo provides exposure to both foundational research and practical deployment challenges, preparing graduates for technical leadership in Japan and internationally.
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