| Approval Code | N/523/6/0310; 05/2026 |
| Accreditation Code | MQA/PA11675 |
| Classification | Bachelor of Computer Engineering – Artificial Intelligence BEng (Hons) |
| Subject Area | Engineering and Technology |
| Course Mode | Full time |
| Course Duration | 4 years |
| Course Location | Kuala Lumpur |
| Intakes | January, May and September |
This programme is curated specially to address the need for jobs that demand skills in the area of Artificial Intelligence (AI). It encompasses the learning of AI, Computer and Engineering. By espousing these areas, students can expect to grasp a keen understanding of the technology, its history, functionality and challenges in the application of AI. This programme covers the core theoretical foundations and provides advanced algorithmic, statistical and computer engineering knowledge.
Essentially, students will be exposed to the design, modeling, analysis, and applications of AI through machine vision, language, signal processing and robotics. As students develop the adroitness in this field, gain new insights and smarter correlations, they will appreciate their transformation in the higher-order professional the industry needs.
- Subject to Faculty discretion after reviewing transcript and syllabus. Max credit transfer of 30% of the programme total credits
- A distinction (A+, A or A-) in the English Language subject at SPM/UEC level; or IELTS 5.0/CEFR B1 or equivalent with TOEFL PBT (410-413) or TOEFL IBT (34) or CAE (160) (Cambridge English: Advance)/CEFR B2 or CPE (180) (Cambridge English: Proficiency)/CEFR C1 or PTE (Pearson Test of English) (36) or MUET (Malaysian University English Test) Band 3.
- In the event that the English Language Requirements are not met for local students, student may be required to undertake additional English module(s) prior to or concurrently with the undergraduate programme, based on the University’s decision.
Note / Legend:
Discretion is given to the Head of School to deal with applicants who have results borderline to the Academic Requirements.
O-Level – 'A' to 'C'
UEC Credit – 'A1' to 'B6'
'A' Levels principal – 'A' to 'E'
Graduates are able to find career opportunities in the following roles:
System Engineer,
Software Engineer,
R&D Engineer,
Data Scientist,
Programmer,
Machine Learning Engineer
- 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
- 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
- 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
- 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
- Power System Protection
- Electronic Laboratory 4A
- Electrical Laboratory 4B
Specialisation Area 1 (Business Analytics)
- Data Mining
- Database Systems
- Big Data
Specialisation Area 2 (Computational Intelligence)
- Big Data
- Machine Vision
- Blockchain
Specialisation Area 3 (Control and Intelligent System)
- Parallel Computing
- Mobile Application Development
- Advanced Instrumentation and Control
All information is correct at the time of upload and UCSI University reserves the right to make amendments without prior notice.
