Please check "University of Tokyo Class Catalog" for class details.

Basic Lectures I-III

In Basic Lecture I, students learn various algorithms of bioinformatics extensively. In Basic Lecture II, students acquire basic knowledge of the basic molecular organization of cells and the expression of genetic information. In Basic Lecture III, students are provided with perspectives to understand the relationship between higher-order life phenomena and molecular pathology from multiple perspectives using the basics of genome analysis.

Developmental Lectures I-VIII

The Developmental Lecture Series covers a wide range of topics from systems biology to infection and immunology, regenerative medicine, cancer research, and the cutting edge of informatics and medicine. Each lecture is presented by experts on the latest research trends, applied technologies, and therapeutic approaches, and is designed to provide students with advanced knowledge and practical skills. These lectures provide an opportunity to learn specifically about the integration of life sciences and medicine, from the three-dimensional structure of biomolecules to cellular functions and disease-targeted therapies, and to discuss future research and applications.

Basic Exercises

The Basic Exercise Series aims to integrate medicine and life sciences, providing multifaceted learning through participation in projects outside the laboratory, guidance to students in other laboratories, and advanced seminars. In Basic Seminar II, students participate in projects outside their own laboratories and learn a variety of research topics and experimental techniques. In Basic Seminar III, doctoral students learn teaching techniques for students in other laboratories. In Basic Seminar V, students grasp the latest trends in medicine and biology through advanced seminars.

Advanced Lectures on Information and Bioanalysis

The Advanced Lectures on Information and Bioanalysis cover a wide range of topics, from methods for analyzing large amounts of biological data to advanced machine learning and statistical methods and software design. In particular, state-of-the-art algorithms and statistical methods related to disease prediction and higher-order structural analysis of DNA will be introduced. Through seminars from leading-edge researchers, the goal is to acquire practical knowledge that can be applied to future research.

Research/Medical Ethics

The objective of the Research/Medical Ethics course is to analyze the ethical issues that medical researchers face in both human subjects research and medicine and to learn the means to resolve them. Starting with the basics, training on the protection of human subjects and the discussion and identification of ethical issues will be provided. These lectures are designed to effectively address ethical issues in research and its application to medicine.

Medical Translational Research Courses

The Medical Translational Research course provides research and education that connects basic medicine to clinical research. The course teaches introductory medical science to non-medical students, and through practical training in a hospital setting, students learn about the current state of modern medical care and its problems. In addition, students learn about medical development based on advanced research and the legal and regulatory knowledge required for such development.

Courses in Medical Innovation

Courses in the Medical Innovation course provide education to consider medical innovation from multiple perspectives, ranging from intellectual property, business models, and public policy. Students will learn comprehensively about the fundamentals and practice of patents, business model analysis and technology transfer, as well as the interaction between medical science and public policy. These form the skills and knowledge essential for research and development in the medical field and for the social implementation of new treatments and products.

Department of Bioinformatics, Faculty of Science, Merged Courses

The Department of Bioinformatics and Merged Courses in the Faculty of Science covers a wide range of fields from bioinformatics to genome biology and omics theory, with a particular focus on the algorithms and statistical methods necessary for the analysis of life science data. Students are taught comprehensively from the basics of programming to advanced data analysis skills, and the ability to analyze diverse life phenomena mathematically and informatically is cultivated. Each lecture introduces not only basic theory but also specific research and practical examples, enabling students to learn directly related to solving real-life problems.

Internationalization Exercise

In the Internationalization Exercise, Dr. Miller provides practical instruction in poster presentations, PowerPoint presentations, and writing scientific papers, and each session is in a small-group tutorial format. In addition, students are also offered the opportunity to attend advanced research seminars conducted in English and a short-term exchange program with the University of Lyon in France. Through these exercises, students aim to improve their communication skills in an international research environment and their scientific presentation and paper writing skills.

Laboratory Instruction

Courses in laboratory instruction differ between the master's and doctoral programs. Basically, research and thesis writing related to medical genome science are conducted under the supervision of a major faculty member or supervisor. In both the master's and doctoral programs, students participate in seminars to introduce research papers and learn techniques for writing and presenting papers. In the doctoral program, students also receive instruction in poster presentation and oral presentation in English.

MGSP (Medical Genome Science Program)

The Medical Genome Science Program (MGSP) aims to develop human resources who combine advances in genome science with medicine, based on a broad background in basic science. The program was once supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and is now positioned as part of the Graduate School. Graduates are expected to contribute not only to basic science, but also to translational research and research combining medicine with engineering and informatics.

CBSP (Computational Biological Science Program)

The program aims to train bioinformatics experts with a wide range of skills from programming fundamentals to applications and algorithm development. Research areas include genome analysis, medical genomics, TR research, and the integration of molecular biology with medicine, engineering, and informatics. Graduates are expected to contribute widely to life science and medical research.

DSTEP (Data Scientist Training/Education Program)

This is an educational program for doctoral students in the Department of Medical Informatics and Life Sciences and the Department of Advanced Life Sciences. The Social Cooperation Chair, established as an intramural organization with the cooperation of pharmaceutical, bioinformatics, and biotechnology-related companies, takes the lead in setting up practical problems in bioinformatics directly related to corporate needs, while ensuring the independence of education at the University of Tokyo, with the aim of fostering human resources capable of immediately solving these problems. The aim is to develop human resources who can be immediately effective in solving practical bioinformatics problems directly related to corporate needs, while ensuring the independence of education at the University of Tokyo.

WINGS (World-leading Innovative Graduate Study Program)

WINGS (World-leading INnovative Graduate Study Program) is an integrated five-year master-doctoral program to foster excellent PhD holders who will contribute to the global society. This is one of the University of Tokyo's initiatives to foster excellent PhD holders who can bring positive changes to the global society with making the best use of their academic excellence. 6 WINGS programs are accepting students of CBMS.

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