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Bachelor of Computer Science (Hons) (Artificial Intelligence)

Asia Pacific University of Technology & Innovation

Bachelor Degree

Asia Pacific University of Technology & Innovation

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Duration

3 years

Study Format

On Campus

No. of Student Mentors

72

Total Tuition Fees

24,330 USD (Approx)

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ABOUT THIS PROGRAM

What We Teach

This programme is specifically designed to provide students with:

 

  • The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
  • The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
  • The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence.


KEY INFORMATION

Degree

Bachelor

Language

English

Location

Malaysia

Intake Start Date

Jan 2026

Study Format

On Campus

Duration

3 years

Program Highlight

Dual Degree

Total Semester

9

Total Tuition Fees

24,330 USD (Approx) / in total

Application deadline

Jan 2026

ABOUT UNIVERSITY

Asia Ranking 2026

EduRank Ranking 597

Programs

125

Students

14,000

Asia Pacific University (APU) continues to solidify its reputation for graduate employability, achieving a remarkable 100% employment rate among its graduates. In recognition of its excellence, APU was named the 2025 Employers’ Choice of University in Talentbank’s annual national survey of top employers. Furthermore, APU graduates earned a prestigious 6-Star rating in the Employers' Top Choice categories for Computing & IT, Animation, Advertising, Finance, and Marketing.


APU also maintained its leading position as the Champion in the Computing & IT category nationwide. In the previous year, 2024, APU graduates were similarly recognized as Champions in Employers’ Top Choice for Computing & IT, Game Design and Development, Animation, and Finance & Islamic Finance - a testament to APU’s sustained excellence and industry relevance across multiple disciplines


APU is honoured to receive the Future-Ready University & College award in the private universities category at the LIFE AT WORK Awards 2025, organised by Talent Corporation Malaysia (TalentCorp).


This award recognises a Higher Educational Institution that goes beyond academic excellence to actively prepare their students for the realities of a dynamic, fast-changing workforce. This institution demonstrates a strong commitment to bridging the gap between education and career readiness. 


This recognition reflects APU’s commitment to nurturing a future-ready generation through an inclusive, innovative, and supportive environment that prepares both students and staff to succeed in the evolving digital landscape.

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PROGRAM STRUCTURE

Degree Level 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of artificial intelligence techniques and algorithmnic thinking. Some specialised modules will provide them basic knowledge of underlying computer systems such as Computer Architecture, operating systems, networks and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.


Common Modules
 
  • Introduction to Networking
  • Systems Software and Computing Concepts
  • Introduction to Databases
  • Python Programming
  • Systems Analysis and Design
  • Integrated Computer Systems
  • Fundamental of Entrepreneurship
  • Digital Thinking and Innovation


Specialised Modules
 
  • Mathematical Concepts for Computing
  • Introduction to Artificial Intelligence
  • Introduction to Object Oriented Programming

Degree Level 2

A broader range of skills will be learnt, in which the students will gain a better understanding of artificial intelligence techniques such as machine learning, fuzzy logic, and natural language processing. They will gain solid understanding of techniques used to develop complex software systems that include data acquisitions via various sensors. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.


Common Modules
 
  • Innovation Process
  • Research Methods for Computing and Technology


Specialised Modules
 
  • Systems and Network Administration
  • System Development Methods
  • Object Oriented Development with Java
  • Web Applications
  • Concurrent Programming
  • Computer Systems Low Level Technique
  • Data Structures
  • Programming for Data Analysis
  • AI Methods
  • Imaging and Special Effects
  •  

Internship (16 Weeks)

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.


Degree Level 3

Students will make use of their previous studies and industrial experience to extend their familiarity in the field of intelligent systems and to refine their personal and professional development. Students will move further into artificial intelligence design paradigms and algorithms, programming techniques and statistical techniques applicable to artificial intelligence. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.


Common Modules
 
  • Venture Building
  • Project Management


Specialised Modules
 
  • Investigations in Artificial Intelligence
  • Algorithmics
  • User Experience
  • Advanced Database Systems
  • Text Analytics and Sentiment Analysis
  • Image Processing, Computer Vision and Pattern Recognition
  • Further Artificial Intelligence
  • Optimization and Deep Learning
  • Project in Artificial Intelligence

MQA Compulsory Subjects*

  • Appreciation of Ethics and Civilisation (M’sian Students)
  • Malay Communication Language (Int’l Students)
  • Philosophy and Current Issues
  • Workplace Professional Skills
  • Integrity and Anti-corruption
  • Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.) 


TUITION FEES

Tuition fees

24,330 USD (Approx) / in total

Application fees

3,350 MYR

Application fee cannot be refunded.

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ADMISSIONS PROCESS

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Admission Requirements

General Requirements

  • STPM2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject.
  • OR
  • 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM.
  • OR
  • 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. 


Note: Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

  • A-Level2 Passes (Grade A-D) in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.
  • OR
  • 2 Passes (Grade A-D) in A-Level with a Credit in Additional Mathematics at SPM/ O-Level/ IGCSE or equivalent.
  • OR
  • 2 Passes (Grade A-D) in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ O-Level/ IGCSE or equivalent.

  • *Overseas qualification that are equivalent to 12th Grade/A Level/HSC are accepted.


Note: Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

  • UEC5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject.
  • 5 Grade B Passes in UEC in any subject including Additional Mathematics.
  • 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT Subject at SPM or equivalent.


Note: Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

  • Matriculation/ FoundationA pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent.


Note: The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.


   OR

 

  • A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent.


Note: Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

  • ICT Related DiplomasDiploma with a minimum CGPA of 2.50.


Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.

 

Note: Students who do not have a Credit in Additional Mathematics in SPM/O-Level/IGCSE but have an acceptable achievement in Mathematics related subjects during the Foundation which may be equivalent to SPM/O-Level/IGCSE Additional Mathematics, can be accepted into Degree Programmes. Students can be given preferential entry for ICT related subject in SPM/O-Level/ IGCSE.


Any qualification that APU accepts as equivalent to the above.     


The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA). The qualification and entry requirements for the programmes will be determined based on the "Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)" published by Malaysian Qualifications Agency (MQA).   

 

English Requirements

  • International StudentsIELTS : 5.0
  • TOEFL IBT : 40
  • Pearson (PTE) : 47
  • MUET : Band 3.5


Possible Career Pathway

Your Career Path

Business Decision Support Engineer

Robotics R&D Engineer

Backend Game Developer

Machine Learning Engineer

Deep Learning Scientist

Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Specialist

Algorithm Specialist

Machine Vision Engineer

AI Platform Architect

Artificial Intelligence Analyst

NLP Engineer


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