Course Details
Why choose APU?
Dual Degree
APU-DMU Dual Degree Programme
Latest Technologies
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.
Requirements
Admission Requirements
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.
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.
*Overseas qualification that are equivalent to 12th Grade/A Level/HSC are accepted.
- 5 Grade B Passes in UEC in Science Stream 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.
- 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.
- 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.
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).
- IELTS : 5.0
- TOEFL IBT : 40
- Pearson (PTE) : 47
- MUET : Band 3.5
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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.
-
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
Specialised Modules
- Digital Thinking and Innovation
- 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.)
Computing & Technology
Collaborative Industrial Partners
Industry-academia collaboration is a strategic necessity to ensure the quality and relevance of our programmes. Through our Industry-Academia Collaboration (IAC) model, we design programmes in collaboration with inputs from the industry, that are also aligned with the government’s initiatives to address the shortage of skilled talents. Over the years, APU has established collaborations with key industry players worldwide; we have been delivering highly-relevant programmes that help us develop skilled and professional graduates for the workforce.
Facilities at APU
The APU Centre Point & Atrium serves as a melting pot of cultures from all over the world. Here, cultural activities are organised regularly at the campus, fostering long-lasting intercultural relationships among APU students, who come from over 130 countries.
Ready, Set, Go.
Whether you are locals or traveling here, we have the options for you to pursue your dreams.
RM31,700
Year 1
RM32,800
Year 2
RM33,800
Year 3
RM98,300
Total for Malaysian
RM32,000
(USD7,270)
Year 1
RM33,100
(USD7,520)
Year 2
RM34,400
(USD7,820)
Year 3
RM99,500
(USD22,610)
Total for International
Programme code : (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.
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