Study in English
All lectures and program activities are conducted in English. No Japanese language ability is required.
Ritsumeikan University
Study Data Science in Japan
Learn data science in a global classroom, live on campus, and experience real student life at Ritsumeikan University.
English-medium programOn-campus accommodationStudent exchangeOsaka, Japan
Applications are accepted through Microsoft Forms. The minimum number of participants is 15.
This hero image is used to express the atmosphere of the program. The campus photos below show the actual environment at Ritsumeikan.
Why RDSP?
Study in Japan. Experience something real.
RDSP is not only a short academic program. It is also a chance to join an international classroom, stay on campus, meet Ritsumeikan students, and enjoy technology, culture, and campus life in one program.
Program strengths
Why students choose this program
Live on campus
Stay at the OIC Seminar House and experience real university life in a safe and practical environment.
Meet Ritsumeikan students
Join workshops and exchange opportunities with local students through classes and activities.
Experience Japan
Explore tea ceremony, sports exchange, and other student-life experiences beyond the classroom.
What you may experience
More than lectures
This page will continue to be updated as details are confirmed. Even at this stage, the program already offers a strong mix of academic study, student exchange, and hands-on experiences.
Interactive lectures
Learn AI, machine learning, data science, and robotics in an international classroom environment.
Tea ceremony experience
Enjoy a hands-on cultural session and experience a traditional side of Japan with Ritsumeikan students.
Sports and exchange
Join a sports activity on campus and connect with students through movement, teamwork, and fun.
Technology and making
See digital fabrication tools and possible hands-on sessions such as laser cutting or 3D printing.
What you will study
Data science in practice
The program aims to combine academic understanding with practical thinking, visualisation, and discussion in an international learning environment.
Learning image
A clear image of data science learning
This image is used as an illustration of the kind of analytical mindset and visual learning atmosphere that matches the spirit of RDSP.
Together with the real campus photos and faculty information on this page, it helps visitors quickly understand the academic direction of the program.
Actual campus scenes
See the real OIC environment
These photos show the actual Osaka Ibaraki Campus environment and help make the page feel more real, more grounded, and more trustworthy.
Ritsumeikan exterior
A strong first impression of the campus with the Ritsumeikan identity clearly visible.
Open campus courtyard
A bright and modern outdoor space where students move between classes and facilities.
Connected academic buildings
Large-scale campus architecture designed for movement, study, and collaboration.
Digital and innovation atmosphere
Screens and data-related displays help show the practical, future-oriented learning environment.
Academic environment
Modern learning spaces and classroom atmosphere
Faculty
Meet your instructors
The following five faculty members are confirmed. Additional guest sessions or special appearances may be announced later on this page.
Atsushi Kakogawa
Associate Professor, Department of Robotics
Field and service robotics, including practical applications for infrastructure inspection and environmental exploration.
Valentinus Roby Hananto
Lecturer, College of Information Science and Engineering
Data science, machine learning, and business intelligence with a practical focus on real-world systems.
Victor Kryssanov
Professor, College of Information Science and Engineering
Statistical simulation and modeling, Green AI, Smart building (transportation, city, etc.), Smart agriculture and mariculture.
Mate Kovacs
Assistant Professor, College of Information Science and Engineering
Natural Language Processing for Civic Tech, Language Modeling and large-scale text and social data analysis.
Shady Salama
Assistant Professor, College of Information Science and Engineering
Artificial intelligence, combinatorial optimization, simulation modeling, evolutionary algorithms, and intelligent manufacturing.
Technology and making
See future technology on campus
We are also adjusting possible added experiences related to fabrication, technology, and digital making. Confirmed details will be posted here.
Student life
Sports, culture, and connection
Campus
A modern campus in Osaka
OIC offers study spaces, collaboration spaces, practical facilities, and a campus environment that feels both academic and welcoming.
Actual OIC courtyard
This is a real campus view at OIC. The open layout and modern architecture help visitors immediately feel the atmosphere of the university.
Digital campus atmosphere
Screens, data, and open interiors visually support the image of a future-oriented academic environment.
Connected learning spaces
The buildings are physically connected in a way that gives the campus a strong sense of scale, movement, and openness.
Campus life
Dining and daily life on campus
Students experience daily life on campus, including meals, accommodation, and shared spaces designed for comfort and interaction.
OIC Food Park
A bright and comfortable dining space on campus where students can enjoy daily meals and spend time with others.
Meal shop on campus
A convenient campus shop for daily needs, light meals, and practical student life support.
Quick facts
Program information
Location
Osaka Ibaraki Campus (OIC)
A modern campus in Osaka with academic facilities, student spaces, dining options, and on-campus accommodation.
Program dates
July 16 – July 24, 2026
No classes on July 18, 19, and 20. These are free days.
Program fee
JPY 120,000 + JPY 5,000 service fee
No scholarships, waivers, or partner discounts are available for this program.
Application
Apply through Microsoft Forms
Please complete the required information in the application form first.
Minimum number
15 participants
If the minimum number is not reached, the program may not be offered.
Accommodation
OIC Seminar House
Shared rooms separated by gender. Participants travel to the residence by themselves.
Language / Credit
English only / No academic credit
A completion certificate will be issued. Final schedule and some details will be updated on this page.
Application
How to apply
Applications for RDSP 2026 are accepted through the Microsoft Forms link below. Please complete the required information in the form first.
Before you apply
Please note that the minimum number of participants is 15. If the minimum number is not reached, the program may not be offered.
Eligibility
Who can apply
- Applicants must be currently enrolled as undergraduate or graduate students.
- High school students, gap year students, and working professionals are not eligible for this program.
Accommodation
Stay at the OIC Seminar House
Participants stay on campus in shared rooms separated by gender. The residence offers a practical and student-friendly environment for short-term study in Japan.
Fees
What is included
Included
- Lectures by Ritsumeikan faculty members
- Workshops and exchange opportunities with Ritsumeikan students
- On-campus accommodation fee
- Campus Wi-Fi and library access
- Travel insurance
- Completion certificate
- Support documents for a short-term visa, if applicable
Not included
- Round-trip airfare and international travel expenses
- Local transportation in Japan
- Meals
- Passport and visa application costs
- Personal expenses
- Scholarships or tuition waivers
Notes
Please read before applying
- Applications are accepted through the Microsoft Forms application form on this page.
- Please complete the required information in the form first.
- The minimum number of participants is 15. If the minimum number is not reached, the program may not be offered.
- The first five faculty members listed on this page are confirmed.
- Additional special sessions or guest appearances may be announced later.
- Possible added content includes VR, laser printing, sports exchange, and cultural club activities.
- Program content, lecture titles, and exact activity details are subject to change.
- Participants must join from the first day to the final day.
- The program has limited capacity, so early application is strongly recommended.
- No academic credit will be awarded for this program.
- Participants must arrive on July 15 (the day before the program starts). Check-in is required between 3:00 PM and 5:00 PM.
- Check-out is scheduled for July 25 (the day after the program ends). Changes to the program period are not allowed.
- There will be no classes on July 18 (Saturday), July 19 (Sunday), and July 20 (national holiday). These days are scheduled as free days for personal activities.
Join RDSP
Study data science in Japan
Learn in English, live on campus, meet Ritsumeikan students, and explore future technology in a real university environment.
Please complete the Microsoft Forms application first. The program requires a minimum of 15 participants.