Certificate in High-Performance Python for Scientific Computing and Machine Learning
Eight-week technical certificate covering NumPy vectorization, GPU acceleration with CUDA, PyTorch, and distributed cluster computing.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Basic proficiency in procedural programming (Python, C, or Java)
- English language proficiency
- English or Japanese comprehension
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Registration form and programming background checklist
- Recommendation letters
- Not required
How much will it cost? How much funding is available?
- Financial support / stipend
- KSU open learning technology grant available
- Application fee
- ¥10,000
- Tuition / joining costs
- ¥75,000 total course fee
Dates and verification
- Application deadline
- May 31, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Kyoto Sangyo University (KSU) documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue