Duration: 3 Years (6 Semesters)
| Awarded by: APU, Malaysia
| Intakes: 13 Mar 2025 | 17 Jul 2025 | 29 Sep 2025
| |
| |
APU-DMU DUAL DEGREE PROGRAMME
Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.
To know more about APU-DMU Dual Scheme, please click HERE | |
MORE THAN JUST A COMPUTER SCIENCE DEGREE
APU's Bachelor of Computer Science (Hons) (Artificial Intelligence) degree is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0. | Digital Transformation for IR4.0 |
ADMISSION REQUIREMENTS
GENERAL REQUIREMENTS |
DIRECT ENTRY TO LEVEL 1 OF THE DEGREE: |
STPM | • 2 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. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme. |
A-LEVEL Overseas qualification that are equivalent to 12th Grade/A Level/HSC are accepted. | • 2 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. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme. |
UEC | • 5 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. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme. |
FOUNDATION/ MATRICULATION | • A 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. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
|
DIRECT ENTRY TO LEVEL 2 OF THE DEGREE: |
ICT RELATED DIPLOMAS | • Diploma 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.
ENGLISH REQUIREMENTS |
INTERNATIONAL STUDENTS | • IELTS : 5.0 • TOEFL IBT : 40 • Pearson (PTE) : 47 • MUET : Band 3.5
For more information please click HERE |
PROGRAMME OUTLINE
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.
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
|
SPECIALISED MODULES |
- Digital Thinking and Innovation
- Mathematical Concepts for Computing
| - Introduction to Artificial Intelligence
- Introduction to Object Oriented Programming
|
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 |
| - 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
|
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.
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.
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
|
- 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.) |
CAREER OPTIONS
- 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
|
COURSE FEES
Malaysian Students | International Students |
Year 1: RM 31,700 Year 2: RM 32,800 Year 3: RM 33,800 Total: RM 98,300 | Year 1: RM 32,000 (USD 8,000) Year 2: RM 33,100 (USD 8,275) Year 3: RM 34,400 (USD 8,600) Total: RM 99,500 (USD 24,875) |
* Fees stated here do not include Deposits and other Miscellaneous Fees. Please refer to Fee Guide for details.
MQA ACCREDITATION
(R2/0613/6/0041)(06/29)(MQA/FA4621) All information is correct at the time of publication, but is subject to change in the interest of continuing improvement. |
Computing & Technology Degree Programmes |