Department of
Information Science and Technology

Research Groups & Research Areas

• Intelligent Media Course

  This course broadly encompasses a diverse range of fields revolving around artificial intelligence (AI). It defines methods of information transmission - text, language, speech, video, etc. - as "media," and explores them in relation to AI and other technologies, such as how AI and other technologies can be used to process them. Students will have the opportunity to broadly research core AI technologies such as machine learning, speech processing, music processing, image processing, natural language processing, and human-computer interaction, as well as study cryptography, quantum information theory and other topics. Through this broad learning experience, students will not only gain an understanding of modern technologies but also venture into next-generation technologies.

  Asano Research Group / Igarashi Research Group / Ohmura Research Group / Katsurada Research Group / Takamatsu Research Group / Harada Research Group / Matsuda Research Group / Natural Language Processing Laboratory / Advanced Neural Modeling Laboratory

• Computer Science Course

  This course explores a wide range of research based in mathematics and computer science. Building upon a foundation in theoretical mathematics and statistics, students will learn programming, algorithms, and their advanced applications such as computer networks, operating systems, and databases. The course also covers software engineering, combinatorial theory, graph theory, and quantum computing. All of this makes possible comprehensive research in computer science. Furthermore, computer science is an academic field that easily connects with other disciplines, and the course actively encourages collaboration with other fields to foster new innovations.

  Uematsu Research Group / Koshiba Research Group / Takimoto Research Group / Noguchi Research Group / Hayasaka Research Group / Hirao Research Group / Matsuzawa Research Group / Miyamoto Research Group

• Social Systems Course

  This course focuses on social implementation to address real-world problems. The fields covered are diverse, including urban analysis, supply chain management, finance, quality control, energy, environment, healthcare, and disaster prevention. Methodologies include AI-based evaluation and analysis, data science and mathematical modeling, and, now, even the use of quantum computers. A key strength of this course is that, throughout this process, students collaborate with experts from other courses. This enables more robust evidence-based problem-solving and social implementation.

  Ishigaki Research Group / Itaka Research Group / Ukai Research Group / Goto Research Group / Suzuki Research Group / Seo Research Group / Takashima Research Group / Mizuno Research Group / Yasui Research Group

• Data Science Course

  This course, which encompasses statistics, information science, and life sciences, cultivates data scientists capable of exceling in a variety of fields. It emphasizes the mathematical foundations that are a strength of Tokyo University of Science, and it builds a solid base for evidence (data)-based decision-making. Furthermore, students will learn a wide range of statistical methods applicable to diverse data. In addition, they can study data analysis engineering techniques, machine learning, and deep learning as subjects, equipping them with a broad range of skills necessary for a data scientist.

  Ando Research Group / Ishii Research Group / Sato Research Group / Shichino Research Group / Tahata Research Group / Nishiyama Research Group / Hatano Research Group / Miyata Research Group / Morohashi Research Group