SEARCH ADVISOR

Bachelor of Computer Science (Hons) (Artificial Intelligence)

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.




Asia Pacific University of Technology & Innovation (APU) receives perfect 5-Stars on Online Learning in the latest QS Stars Rating System

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.

3 Years (6 Semesters)

Malaysian Fees:
Year 1
RM 31, 700.00
Year 2
RM 32, 800.00
Year 3
RM 33, 800.00

International Fees:
Year 1
RM 32, 000.00
Year 2
RM 33, 100.00
Year 3
RM 34, 400.00

Total: Malaysian - RM 98,300 | International - RM 99,500

• 25 Jul 2024
• 24 Sep 2024
• 21 Nov 2024

Degree awarded by APU, Malaysia

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 in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.

OR

• 2 Passes in A-Level with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or equivalent.

OR

• 2 Passes 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.

OR

• 5 Grade B Passes in UEC in any subject including Additional Mathematics.

OR

• 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.
OTHER DIPLOMAS Any Diploma in Science and Technology with a minimum CGPA of 2.75 with a Credit in Additional Mathematics. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a thorough rigorous assessment.

Candidates without a Credit in Additional Mathematic, but with 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.

Any qualification that APU accepts as equivalent to the above.

ENGLISH REQUIREMENTS

International Students

Programmes General Requirements
Bachelor (Hons) Degree Programmes • IELTS : 5.0
• TOEFL IBT : 40
• Pearson (PTE) : 47
• MUET : Band 3.5 

Please note that under Ministry of Higher Education regulations, only students who have achieved the minimum requirement in the English Language proficiency assessment as indicated above will be allowed to continue their studies in the main study programme. Students who do not have the required English Language achievement may apply for a student visa on conditional basis and are allowed to enrol in an English Language Certification programme at APU upon arrival in Malaysia and, subsequently, appear for the IELTS/TOEFL/PTE/MUET assessment.

Students who are unable to obtain the required level of English Competency during the maximum 12 months’ period, will not be allowed to pursue their studies in the main programme and will have to return to their home country.

Students from English speaking countries and those with qualifications taught in English (IGCSE, A-Levels, IB, American High School Diploma etc) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Note: 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).

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 Communication Skills
  • Integrity and Anti-corruption
  • Co-Curriculum

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


  • 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