Diploma in AI & Data Engineering
Introduction
AI & Data Engineering is a 2026 JAE Diploma program taught at Nanyang Polytechnic, Singapore. The program is offered in campus-based modes with full-time (2 years) options.
The AI & Data Engineering Diploma at Nanyang Polytechnic covers the vital intersection of artificial intelligence and data management. Students will delve into core subjects such as machine learning, data mining, and database systems. The curriculum is designed to provide a comprehensive understanding of how to harness data effectively and implement AI solutions in real-world scenarios.
Throughout the course, students will engage in hands-on projects that require them to apply theoretical concepts in practical settings. The typical structure includes modules that focus on programming, data analytics, and advanced AI techniques. By collaborating on group assignments and industry-related projects, learners will develop valuable teamwork and problem-solving skills essential in today’s tech-driven world.
Studying at Nanyang Polytechnic places students in a vibrant educational environment that fosters innovation and creativity. The university's connections with the local tech industry provide unique opportunities for internships and networking, making it an excellent choice for international students looking to build a career in data engineering and AI. The dynamic nature of the destination country also offers a rich cultural experience that enhances personal and academic growth.
Admission Requirements
The minimum requirements for admission in AI & Data Engineering at Nanyang Polytechnic for all applicants (Domestic or International) are:
- program specific academic requirment set by Nanyang Polytechnic.
- English Language OR any other language requirments as set by Nanyang Polytechnic as pre-requiste for admission in AI & Data Engineering.
Note: Please check the university website in the link below.
Prospective students should possess a high school diploma or equivalent qualifications. Strong backgrounds in mathematics, computing, or relevant science subjects are highly beneficial, as they provide the foundational knowledge necessary for success in this diploma program. Admissions may also consider candidates with relevant work experience in technology-related fields.
Students are generally expected to achieve a minimum IELTS score of 6.0 or a TOEFL score of 60-79. Proficiency in English is crucial for understanding course material and engaging in discussions, and some flexibility may be available to those who can demonstrate strong communication skills through other means.
Courses Units
Please check detail of study units at https://www.nyp.edu.sg/student/study/courses
More Information
- Data Engineer
- AI Specialist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Developer
- Data Scientist
- Database Administrator
Scholarships
24 fully funded scholarships are listed for Singapore. See Singapore scholarships.