Applied Artificial Intelligence | Singapore Institute of Technology

Programme Overview

Qualification

BSc (Hons)

Provider

Singapore Institute of Technology

Duration

3 years

Total credits

180

Application period

8 January to 19 March 2025

Next intake

01 September 2025

Campus location

SIT Punggol Campus

The Bachelor of Science with Honours in Applied Artificial Intelligence is a three-year direct honours programme designed to nurture ICT professionals who are competent in developing, applying, and deploying AI solutions.

Artificial intelligence has been identified as a key component in Singapore’s Smart Nation Journey to transform the economy. In tandem with Singapore's plans to be a global leader in advancing AI solutions by 2030, the demand for machine learning engineers is expected to surge.

This specialised programme focuses on implementing AI within software systems and provides in-depth coverage on three focus areas:

Core-Software Engineering is the bedrock of foundational software development, essential for mastery of machine learning skills. This also includes topics such as cloud computing, big data, and DevOps.
Core-Machine Learning will equip you with skills on how AI models can be developed, applied, and deployed.
Professional Skills that will equip you with the relevant soft skills to express your ideas clearly and confidently to different stakeholders. These are skills expected of a working professional.

Programme Highlights

Machine Learning
Integrative Team Project (ITP): Cross Domain Prototyping, Execution & Delivery
Computer Vision and Deep Learning
Natural Language Processing (NLP)
Capstone Project
Eight-month Integrated Work Study Programme (IWSP)

Integrated Work Study Programme

As part of applied learning, SIT offers extended work placements. Students will undertake an eight-month Integrated Work Study Programme (IWSP) with a company. You will learn to integrate theories through practice, acquire industry knowledge and develop professional skills in a real-world environment. IWSP provides an opportunity for students to immerse themselves in the placement company’s business and culture. The practical experience will allow students to smoothly transit into a career upon graduation.

Career Options

AI Engineer
Machine Learning Engineer
Data Engineer (Machine Learning Specialist)
AI Application Engineer

Module Title	Credits
Mathematics 1	6
Introduction to Computer Systems	6
Programming Fundamentals	6
Mathematics 2	6
Machine Learning	6
Data Structures and Algorithms	6
Web Systems and Technologies	6
Object-Oriented Programming	6
Data Engineering and Visualization	6
Ethics and Professional Conducts	6
Artificial Intelligence in Business and Society	3
Introduction to Software Engineering	6
Embedded Systems Programming	6
Computer Vision and Deep Learning	6
Database Systems	6
Cyber Security Fundamentals	6
Cloud Computing and Big Data	6
Large Language Models	6
Edge Computing and Analytics	6
Change Management	6
ITP: Cross Domain Prototyping	6
TP: Execution & Delivery	6
Industry Certification Module	6
Integrated Work Study Programme	20
Capstone Project	10
Digital Competency Essentials	2
Critical Thinking and Communicating	4
Design Innovation	6
Social Innovation Project	3

^* The programme structure is subject to change without prior notice. SIT regularly reviews its curriculum to ensure that it remains industry-relevant and prepares our students for the evolving needs of industry.

Eligibility and Exemption

Diploma holders from any of the five local polytechnics, A-Level / IB Diploma graduates, and holders of equivalent Year 12 qualifications are welcome to apply.
Applicants with a strong proficiency and interest in Mathematics, Physics, Computing, and Artificial Intelligence are encouraged to apply.

A-Levels / IB Diploma Prerequisites

Obtained a good pass in any two of the following H1/H2 or SL/HL subjects: Mathematics, Physics, Chemistry, Computing, or Computer Science.

Module Exemptions

Module exemptions may be granted for the first year modules on a module-by-module basis subject to evaluation of applicant’s diploma and grade in related modules. Exemptions may also be considered for relevant professional or industrial certifications.