The University of Tokyo is a prestigious public research institution based in Bunkyo, Tokyo, Japan and was established in 1877. The University of Tokyo is recognized as the first national university in Japan and one of the most prominent universities in Asia.
The University of Tokyo is renowned for its research excellence and is a center for cutting-edge scientific and technological advancements. The University of Tokyo has many research fields, such as natural sciences, social sciences, humanities, and engineering.
The University of Tokyo has aimed at interdisciplinary research and collaboration across diverse fields to address global issues, including climate change, aging populations, and sustainable development.
The University of Tokyo also strongly focuses on internationalization and collaborates with universities and research institutions worldwide. The University of Tokyo is a world-class platform for research and education, providing human knowledge in partnership with other top global universities.
The University of Tokyo fosters individuals with a pioneering spirit and a robust sense of public responsibility who own deep expertise and broad knowledge, shaping them into global leaders.
Address: 7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan
Phone: +81 3-3812-2111
Email: gs.mail.u-tokyo.ac.jp
Website: https://www.u-tokyo.ac.jp
Undergraduate Programs:
• Bachelor of Engineering in Information and Communication Engineering
• Bachelor of Science in Computer Science
• Bachelor of Arts in Interdisciplinary Information Studies
Graduate Programs:
• Master of Engineering in Information and Communication Engineering
• Master of Science in Computer Science
• Doctor of Engineering in Information and Communication Engineering
• Doctor of Philosophy in Interdisciplinary Information Studies
• Doctor of Information Science and Technology
• International Graduate Program of innovation for the world
The University of Tokyo is renowned for its cutting-edge computer science research particularly in the areas of
• Logic
• Algorithms
• Programming Languages
• Operating Systems
• Computer Architecture
• Parallel and Distributed Computing
• Security
• Graphics
• Numerical Analysis
• Natural Language Processing
• Knowledge Discovery
• User Interfaces
• Genome Informatics
• Scientific Computing
Logic:
• Automated theorem proving
• Modal and temporal logic for reasoning about programs and systems
• Non-classical logic for reasoning about uncertainty and vagueness
• Model checking for verifying systems
Algorithms:
• Approximation algorithms for NP-hard problems
• Combinatorial optimization algorithms
• Online algorithms for dynamic environments
• Distributed algorithms for large-scale systems
Programming Languages:
• Type systems for ensuring program correctness and security
• Functional programming languages for concurrency and parallelism
• Domain-specific languages for scientific computing and data analysis
• Program synthesis and program optimization techniques
Operating Systems:
• Operating system design for heterogeneous and distributed systems
• Resource allocation and scheduling algorithms
• Operating system support for virtualization and containerization
• Operating system security and reliability
Computer Architecture:
• Processor architecture design for energy efficiency and performance
• Memory hierarchy design for high-performance computing
• Microarchitecture and instruction set design for specialized computing
• Fault-tolerant and resilient computing systems
Parallel and Distributed Computing:
• Distributed systems for large-scale data processing
• Parallel programming models and languages for multi-core and GPU architectures
• Distributed consensus and fault tolerance algorithms
• Cloud computing and data center networking
Security:
• Secure system design and threat modeling
• Cryptography and cryptographic protocols
• Intrusion detection and prevention systems
• Malware detection and analysis
Graphics:
• Real-time rendering and interactive graphics
• Computer vision and image processing
• Physical simulation and animation
• Augmented reality and virtual reality systems
Numerical Analysis:
• Numerical methods for solving differential equations
• Optimization algorithms for data analysis and machine learning
• Numerical linear algebra and matrix computations
• Scientific computing for partial differential equations
Natural Language Processing:
• Machine translation and multilingual processing
• Sentiment analysis and opinion mining
• Question-answering systems and information retrieval
• Named entity recognition and entity linking
Knowledge Discovery:
• Deep learning for computer vision and natural language processing
• Unsupervised learning for clustering and anomaly detection
• Reinforcement learning for decision-making in complex environments
• Graph mining and network analysis
User Interfaces:
• Human-computer interaction and usability testing
• Adaptive interfaces for personalized user experiences
• Natural language interfaces for data analysis and visualization
• Augmented and virtual reality interfaces
Genome Informatics:
• Computational methods for analyzing genomic data
• Genome assembly and annotation algorithms
• Sequence alignment and variant calling
• Metagenomics and microbiome analysis
Scientific Computing:
• High-performance computing for scientific simulations
• Parallel algorithms for solving partial differential equations
• Numerical methods for quantum mechanics and molecular dynamics
• Computational fluid dynamics and turbulence modeling
• Hagiya Laboratory
• Imai Laboratory
• Kobayashi Laboratory
• Suda Laboratory
• Igarashi Laboratory
• Sugiyama Laboratory
• Miyao Laboraltory
• Yoshimoto Laboratory
• Kato Laboratory
• Takamaeda Laboratory
• Sato Laboratory
• Yokoya Laboratory
• Yanaka Laboratory
• Japanese Government (Monbukagakusho: MEXT) Scholarship
• MEXT Honors Scholarship for Privately Financed International Students
• The University of Tokyo Special Scholarship for International Students (University of Tokyo Fellowship)
• University Scholarship for PEAK Students
• Scholarships Offered by Private Organizations
• International Graduate Program for Advanced Science (IGPAS)
• Joint Japan/World Bank Graduate Scholarship Program (JJ/WBGSP)
• Asian Development Bank-Japan Scholarship Program (ADB-JSP)
• JSPS Research Fellowship for Young Scientists
• MEXT Scholarship Program
To admit for a Ph.D. study at the University of Tokyo, Japan, the following admission requirements need to be met:
• Applicants must hold a Master-s degree or equivalent in a relevant field
• Applicants whose native language is not English must demonstrate proficiency in English by providing scores of TOEFL, IELTS or equivalent
• Applicants need to provide a research proposal detailing their research interests and goals
• Applicants must provide two letters of recommendation from academic advisors
• Applicants must submit an official academic transcript of their prior studies
• Applicants must submit a statement of purpose detailing their motivation for studying for a Ph.D. study at the University of Tokyo
• Applicants must provide a current resume or curriculum vitae
• Applicants must pay the application fee
