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
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)
Applied Artificial Intelligence

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

Programme Structure (AY2025/26)*

  1. Core Modules
    (165 Credits)
  2. University Modules
    (15 Credits)
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

* 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.

Fees and Finances

Subsidised fees per credit
$125.00
Total credit
180
Tuition fees: $22,500.00 for SG Citizens / $98,689.00 Non-subsidised fees.
chevron--up
Subsidised fees per credit
$262.00
Total credit
180
Tuition fees: $47,160.00 for Permanent Resident / $98,689.00 Non-subsidised fees.
chevron--up
Subsidised fees per credit
$359.70
Total credit
180
Tuition fees: $64,746.00 for International Student / $98,689.00 Non-subsidised fees.
chevron--up

Learn more about
  1. Tuition Grant Scheme
  2. Incidental Fees
  3. Financial Aid
  4. Miscellaneous Fees
  5. Payment

Industry Advisory Committee

The members of the Industry Advisory Committee for this programme are:

Mr Chang Yew Kong (Chairman)
Exco Chairman
Wizvision Pte Ltd
Ms Shang Gao
Asia Pacific Regional Director, Global Education
Amazon Web Services
Mr Stephen Lim
Chief Executive Officer
SQL View Pte Ltd
Mr Leong See Sum
Director (InfoComm Infrastructure)
Defence Science & Technology Agency
Mr Selwyn Sean Scharnhorst
Director (Ecosystem Development)
Cyber Security Agency of Singapore
Mr Christopher Lam
Vice President and Head
NEC Laboratories Singapore (NLS)
Ms Jenny Chua
Director, Quality Management Division
SkillsFuture Singapore
Ms Dorcas Tan
Director (Talent Development)
Infocomm Media Development Authority
Mr Lim Kian Boon
Chief Data Officer and Deputy Chief AI Officer at HTX
HTX (Home Team Science & Technology Agency)
Dr Shonali Krishnaswamy
Chief Technology Officer
AiDA Technologies
Mr Andy Lee
Head, Public Sector
Google Cloud