SPECIALIST DIPLOMA PATHWAY
Applicants who have completed an Information Communication Technology (ICT)-related diploma and relevant Specialist Diploma from a local polytechnic may be considered for admission to the Bachelor of Information Technology (BIT) programme.
The NUS School of Computing (SoC) has identified selected Specialist Diplomas that are highly relevant to the BIT curriculum.
To be considered for admission through this pathway, applicants must meet the general admission requirements for the BIT programme and attain a minimum GPA of 3.5 (out of 4, based on polytechnic grading system) in their Specialist Diploma.
Applicants who do not meet the minimum GPA requirement may still apply if they can demonstrate relevant competencies through entrance examinations or other supporting documents.
The list of relevant Specialist Diplomas is as follows (please visit the respective polytechnic websites for more information about the Specialist Diplomas):
NANYANG POLYTECHNIC (NYP)
- Specialist Diploma in Agile Solutioning & DevSecOps
- Specialist Diploma in Applied Artificial Intelligence
- Specialist Diploma in Business & Big Data Analytics
- Specialist Diploma in Cybersecurity
NGEE ANN POLYTECHNIC (NP)
- Specialist Diploma in Applied Generative Artificial Intelligence
- Specialist Diploma in Data Analytics
- Specialist Diploma in Cloud Security
- Specialist Diploma in Cybersecurity Practice
- Specialist Diploma in Computing
REPUBLIC POLYTECHNIC (RP)
- Specialist Diploma in Business Analytics
- Specialist Diploma in Applied Generative Artificial Intelligence
SINGAPORE POLYTECHNIC (SP)
- Specialist Diploma in Data Science (Artificial Intelligence)
- Specialist Diploma in Data Science (Data Engineering)
- Specialist Diploma in AI-Assisted Full Stack Web Development
- Specialist Diploma in Cyber Security Management
TEMASEK POLYTECHNIC (TP)
- Specialist Diploma in AI Solutions Development
- Specialist Diploma in Business Analytics
- Specialist Diploma in Information Security & Forensics
- Specialist Diploma in AI-Driven Data Analytics