Advanced Diploma in Artificial Intelligence and Applied Machine Learning
Advancing Expertise to Shape the Future of Machine Intelligence
The Advanced Diploma in Artificial Intelligence and Applied Machine Learning is designed for learners who already possess foundational knowledge of AI and data science.
This 6–9 month programme focuses on advanced machine learning, deep learning architectures, data engineering, and enterprise-level AI applications.
Graduates will gain practical experience in deploying AI models and managing real-world projects for business, finance, and technology sectors.
Duration
6 months (Full-time)
Course Period: October – April
9 months (Part-time)
Course Period: October – July
Please note that successful graduation from this programme requires the timely completion of all assignments, as well as maintaining a minimum attendance of 75% for local students and 90% for international students.
Language of Instruction
English
Mode of Study
Classroom + Lab + Industry Project
Entry Requirements
1. Minimum Age:
Applicants must be at least 18 years old at the time of enrolment.
2. Academic Qualifications:
Applicants must possess one of the following:
Diploma in Artificial Intelligence and Applied Data Science from Nanyang Institute of Applied AI.
OR Polytechnic Diploma Holder in the relevant of study from a local polytechnic in Singapore.
OR An approved Diploma or Advanced Diploma in the relevant of study from private education
institutions of Singapore (ANY registered PEI in Singapore)
OR Pass in Year 1 modules of Bachelors degree qualification in the relevant of study.
3. English Proficiency Level:
Obtain at least 70% marks in Nanyang Institute of Applied AI English
Language Placement Test (equivalent to IELTS 6.0 in reading and writing)
OR IELTS 6.0
OR An equivalent English language qualification
1. GCE ‘O’ Level English Language : Minimum Grade C6 (or equivalent)
2. GCE ‘A’ Level General Paper (GP) : Minimum Grade E
Assessment and Graduation Requirements
The Advanced Diploma in Artificial Intelligence and Applied Machine Learning is assessed through a combination of multiple-choice quizzes (MCQs), practical laboratory work, advanced assignments, and applied project-based evaluations. There is no traditional academic thesis requirement.
Assessment weighting may include:
MCQs and quizzes: 50%
Assignments, laboratory work, and applied project assessments: 50%
To be awarded the Advanced Diploma, students must pass all required modules, successfully complete the applied project, submit all required coursework on time, and meet the minimum attendance requirements (75% for local students and 90% for international students).