Bachelor of Computer Engineering (Artificial Intelligence) with Honours

This programme is designed to meet the growing demand for professionals skilled in Artificial Intelligence (AI), combining AI, Computer Science, and Engineering. Students will gain a comprehensive understanding of AI technology, its evolution, functionality, and real-world challenges. The curriculum covers core theoretical foundations while providing advanced knowledge in algorithms, statistics, and computer engineering. With hands-on experience in areas like machine vision, language processing, signal processing, and robotics, students will develop the expertise to design, model, and analyze AI systems. This programme prepares graduates to become innovative professionals capable of delivering intelligent solutions in a rapidly evolving industry.

Academic Requirements

• STPM: Minimum 2Cs, including Mathematics and one relevant Physical Science subject
• A-Level: Minimum 2Ds, including Mathematics and one relevant Physical Science subject
• UEC: Minimum 5Bs, including Mathematics and one relevant Physical Science subject
• CPU: Minimum average of 60% in 6 subjects, including a minimum score of 60% in Mathematics and one relevant Physical Science subject
• Local Matriculation: Minimum CGPA 2.0
• Foundation from Other University/College: Minimum CGPA 2.0
• WAEC/NECO: Maximum aggregate of 15 points from the best 5 subjects, including a minimum B in Mathematics and one relevant Physical Science subject
• Diploma/Advanced Diploma or Equivalent: Minimum CGPA 2.0
• Subject to Faculty discretion after reviewing transcript and syllabus. Maximum credit transfer of 30% of the programme's total credits
• Other Qualifications Deemed Equivalent to STPM/A-Level by the Malaysian Qualifications Agency: Minimum overall average of 60%, including a minimum score of 60% in Mathematics and one relevant Physical Science subject
• International Baccalaureate: Minimum 26/42 points from 6 subjects, including Mathematics and one relevant Physical Science subject
• SAM: Minimum average of 60% in 5 subjects, including a minimum score of 60% in Mathematics and one relevant Physical Science subject
• SACE/AUSMAT/TEE/SAM:
  • Minimum ATAR score of 60% and a minimum score of 60% in Mathematics and one relevant Physical Science subject OR
  • Minimum overall average of 60% in 5 subjects, including a minimum score of 60% in Mathematics and one relevant Physical Science subject
• WACE/NTEC: Minimum overall average of 60%, including a minimum score of 60% in Mathematics and one relevant Physical Science subject

English Language Requirements

For Local Students:

• MUET: Band 3.5
• SPM English Language: Grade B+
• SPM English Language 1119/O-Level/IGCSE: Grade C
• UEC English Language: Grade A2
• CEFR: B1 (High B1)

In the event that the English language requirements are not met, applicants will be required to take Basic English and English Foundation for in-sessional academic enhancement concurrently with the programme.

For International Students:

• Cambridge Linguaskill: 154
• IELTS: Band 5.0
• Cambridge English Qualifications and Tests: 154
• TOEFL iBT: 40
• TOEFL Essentials (Online): 7.5
• Pearson Test of English: 47
• MUET: Band 3.5
• CEFR: B1 (High B1)

Year 1

• Mathematical Methods for Engineers I
• Circuit Theory I 
• Electromagnetic Theory 
• Engineering Graphics and Design 
• Computing for Engineers
• Mathematical Methods for Engineers II
• Analogue Electronics I 
• Digital Electronics I
• Statistics
• Electrical and Electronic Lab 1
• Computer Architecture
• Technical Communication

Year 2

• Circuit Theory II
• Instrumentation and Measurement 
• Electrical Power
• Algorithm Design and Analysis 
• Object Oriented Programming 
• Safety, Health and Environment 
• Introduction to Artificial Intelligence 
• Software Engineering
• Java Programming
• Electrical and Electronic Lab 2 
• Computer Engineering and AI Lab
• Industrial Training I

Year 3

• Digital Signal Processing 
• Engineering Management and Economics
• Microprocessor Systems 
• Data Communication and Networks 
• Embedded System Design 
• Control Systems 
• Engineers in Society
• Communication Theory
• Machine Learning 
• Human Computer Interaction
• Instrumentation and Control Lab
• Industrial Training II

Year 4

• Integrated Design Project 1 
• Operating Systems 
• Cybersecurity
• Integrated Design Project 2 
• Elective 1
• Elective 2 
• Elective 3 
• Final Year Project A*
• Final Year Project B

Elective Courses (Select 1 specialisation only)

Specialisation 1: Business Analytics

• Data Mining
• Database Systems
• Big Data

Specialisation 2: Computational Intelligence

• Big Data
• Machine Vision
• Blockchain

Specialisation 3: Control and Intelligent System

• Parallel Computing
• Mobile Application Development
• Advanced Instrumentation and Control

General Courses (MPU): 

For Malaysian students:

1. Appreciation of Ethics and Civilisations
   (Penghayatan Etika dan Peradaban)
2. Philosophy and Contemporary Issues
   (Falsafah dan Isu Semasa)

For Foreign students:

1. Philosophy and Contemporary Issues
2. Communication in Bahasa Melayu 3
   (Bahasa Melayu Komunikasi 3)

All students:

1. U2 - Technical Communication
2. U3 - Malaysian Experiential Tourism
3. U4 - Extra-curricular Learning Experience 1 to 3