Bachelor of Computer Science (Hons) in Artificial Intelligence

This programme is specifically designed to provide:

• The skills to design and build systems using artificial intelligence methods, such as machine learning, fuzzy logic, and natural language processing.
• The ability to critically assess design approaches, programming languages, algorithms, and techniques for creating complex software systems.
• The capability to recognize and pursue opportunities for developing new AI applications.

• 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. • 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

 Year 1 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

Year 2 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

INTERSHIP (16 weeks)

Students will participate in a 16-week Internship or Industrial Training program to help them transition seamlessly from academic studies to the professional workplace.

Year 3 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