Programme Overview

BSc (Hons)
Singapore Institute of Technology
3 years
Total credits
Application period
10 January to 19 March 2024
Next intake
Campus location
SIT@NYP Building

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 (AY2024/25)*

  1. Core Modules
    (165 Credits)
  2. University Modules
    (15 Credits)
Module TitleCredits
Mathematics 16
Introduction to Computer Systems6
Programming Fundamentals6
Mathematics 26
Machine Learning6
Data Structures and Algorithms6
Web Systems and Technologies6
Object-Oriented Programming6
Data Engineering and Visualization6
Ethics and Professional Conducts6
Artificial Intelligence in Business and Society3
Introduction to Software Engineering6
Embedded Systems Programming6
Computer Vision and Deep Learning6
Database Systems6
Cyber Security Fundamentals6
ITP: Cross Domain Prototyping6
Cloud Computing and Big Data6
Natural Language Processing6
Edge Computing and Analytics6
Change Management6
ITP: Execution & Delivery6
Industry Certification Module6
Integrated Work Study Programme20
Capstone Project10

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

    Industry Advisory Committee

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

    Mr Chang Yew Kong (Chairman)
    Exco Chairman
    Wizvision Pte Ltd
    Mr Aloysius Cheang
    Member, Board of Directors
    The International Information System Security Certification Consortium / (ISC)2
    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 Dorcas Tan
    Director (Talent Development)
    Infocomm Media Development Authority
    Ms Shirley Chow
    Director, Data Science & AI Centre of Expertise
    HTX (Home Team Science & Technology Agency)
    Dr Shonali Krishnaswamy
    Chief Technology Officer
    AiDA Technologies