短期日本語集中プログラム@京都

Study Japanese in Kyoto — where language, culture, and daily life come together.

2026 RSJP, 5-week
@Kinugasa Campus, Kyoto

Program Period: June 16 to July 17, 2026
Application for 2026 RSJP Open in March 18.

Program Deatails

2026 RWJP Express, 2-week
@Kinugasa Campus, Kyoto

Program Period: July 28 to Aug 07 , 2026
Application for 2026 RSJP Express Open in April 28.

Program Details

2027 RWJP, 5-week
2027 RWJP Express, 2-week
@Kinugasa Campus, Kyoto

5-week Program Period: January 12 to February 11, 2027
2-week program Period :February 16 to February 26, 2027

Ritsumeikan University offers programs for undergraduate and graduate students with minimal knowledge of the Japanese language, providing a comprehensive introduction to Japanese language and culture.

All of these programs consist of two major subjects: intensive Japanese language class, which provides them with a thorough introduction to the language, and Japan Studies classes, where you can learn about Japanese culture and take part in fieldwork to cultural spots in Kyoto.

Why Ritsumeikan?

You will have various opportunities in our programs to learn Japanese language and culture as well as interact with our Ritsumeikan BUDDYs.

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Campus Life

Many of our programmes are offered at our Kinugasa Campus, which is located in Kyoto, one of the most popular cities in the world.

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Why Kyoto?

Interested in Japanese food, temples and shrines, and Japanese history? Kyoto has everything you're looking for. Come and study in an environment surrounded by the wonder of Kyoto, the center of Japanese culture.

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Ritsumeikan Data Science Program

Ritsumeikan Data Science Program

We are pleased to announce the launch of a new short-term ENGLISH program, the Ritsumeikan Data Science Program (RDSP), which will be held on our Osaka Ibaraki Campus (OIC).

RDSP 2 weeks
@Osaka Ibaraki campus

Program Period: 2026 SUMMER & WINTER

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The program is designed for current university and graduate students who are interested in data science, generative AI, robotics, machine learning, and NLP. All classes will be taught in English by our faculty members. In addition to the academic sessions, participants will join cultural and social exchange activities with our students.

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