KYUSAN
ACADEMICS
九州産業大学の学び
九州産業大学では、
社会人として求められる力を身に付けるため、
独自教育プログラムを採用しています。
KSU Fundamental Education
Acquire education and strengthen your foundation
高校の学びから大学の学びへのスムーズな移行はもちろん、入学から卒業まで、
入門→基礎→応用と、体系的に学修する土台づくりを行います。
Liberal Arts Education
In order to achieve our educational goal of nurturing "internationally educated individuals who are healthy in both body and mind," the course is comprised of introductory subjects, practical subjects, liberal arts subjects, and subjects for mental and physical health.
Foreign Language Education
The goal after four years is to acquire "English skills that are useful in the workplace." Students will acquire "usable English" by taking on a variety of programs. There are also overseas English training programs and internships.
専門基礎教育
By systematically studying introductory and foundational subjects in the first and second years, students can smoothly transition to specialized courses.
KSU Project-based Education
社会の最前線で
必要なスキルを実践で学ぶ
学びの舞台は、実社会の『現場』。地域や企業、行政と連携してプロジェクトを立ち上げ、取り組むことで、行動力・共創力・人間力をはじめ、様々な力を養います。学部・学科の枠を越え、産学官連携による商品開発やプロモーション、技術開発、イベント開催など、『140のプロジェクト』を展開しています。
Global Education
グローバル社会で
活躍する人材を育成
国際感覚を養うための海外経験プログラムの展開や留学支援制度の充実を図り、グローバル人材の育成を行います。九州産業大学では世界とのつながりを学ぶために、国際感覚を養う海外経験プログラムや、より高い語学力をめざす学生には、実践的な授業やプログラムも提供しています。
Career education
“就活に勝てる！”
九産大独自のキャリア教育
From gathering information on companies to teaching resume writing and interview practice, our school offers unique career education starting from the first year. This initiative, which allows approximately 2,500 students per year to receive career education, is unique in the country.
We provide classes taught by experienced, full-time faculty members and a wide range of support. We also offer a variety of qualification courses and provide thorough, individualized support for each student.
AI and Data Science Education
学部の専攻分野を問わず、
特定のテーマを
追求できる制度
In the real world, there is a widespread demand for AI and data science talent who can immediately contribute in a variety of fields. Regardless of the field of study of your department, you will study the fields of AI and data science in a systematic way that transcends the boundaries of your faculty and department.
