Diploma in Engineering (Computer Engineering)

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2026064832
S$28,457

About This Course

The course aims to equip students with a broad-based, interdisciplinary foundation spanning digital electronics, structured programming, computer networking, cloud platforms, artificial intelligence, and full stack development. By integrating both hardware and software competencies with emerging technologies such as IoT, smart systems, and mobile applications, the course prepares students to design, build, and manage modern digital infrastructures and intelligent solutions. Graduates will be industry-ready with practical skills, certification pathways, and the versatility to thrive in diverse roles across engineering, IT, and digital innovation sectors. The modules have been carefully selected to cover the technical skills and knowledge in high demand for careers in cloud services, application development and computer networking industries.

The course focuses on software development, cloud computing, computer networking and AI and smart technologies that are applied in the areas of Infocomm Technology (IT) and Computer Engineering. It equips students in roles such as embedded systems technician and software technician with the knowledge and skills required to undertake new roles that include associate embedded systems engineer and associate software engineer in the IT and Computer Engineering industries. By engaging in a blended learning approach that combines online instruction, classroom teaching, and hands-on practice, students will develop the skills and expertise to design, develop, and deploy intelligent digital systems and applications across embedded platforms, network infrastructures, cloud environments, and full-stack frameworks using modern programming tools and smart technologies.

What You'll Learn

The course equips learners with competencies across digital systems, networking, software development, cloud computing, AI, IoT, and embedded systems. Learners will develop skills in designing digital and sequential logic circuits, configuring and troubleshooting computer networks, implementing cloud and cybersecurity concepts, and applying structured programming techniques for engineering applications. The curriculum also covers full stack and mobile application development, DevOps practices for AIoT systems, and the use of machine learning and AI with Python for data analysis and predictive modelling. In addition, learners will gain hands-on experience in designing smart systems architectures, integrating IoT devices and wireless technologies, and developing microcontroller-based solutions for real-world applications.

Entry Requirements

GCE ‘O’ Levels
3 relevant passes and 1 year relevant working experience:
Subjects/Min. Grade:
English Language: 7
Mathematics (Elementary or Additional): 7
Science: 7

FT Nitec
GPA >= 3.5 in an engineering or IT discipline OR
GPA >= 3.0 in an engineering or IT discipline and 1 year of relevant working experience

PT Nitec in Technology/Services
GPA > 3.5 in an engineering or iIT discipline and 1 year of relevant working experience

FT Higher Nitec
GPA > 2.0 in an engineering or IT discipline OR
GPA > 1.5 in an engineering or IT discipline and 1 year of relevant working experience

PT Higher Nitec in Technology/Services
GPA > 2.0 in an engineering or IT discipline and 1 year of relevant working experience

WSQ Diploma
Relevant WSQ Advanced Certificate (or higher) with 1 year of relevant working experience and Level 6 for both WSQ Workplace Literacy SOA & Workplace Numeracy SOA.

Course Details

Duration 915 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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