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Overview
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.
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, inclusive of 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
A maximum aggregate of 15 points out of best 5 subjects, inclusive of minimum B in Mathematics and one relevant Physical Science subject
Diploma/ Advance Diploma/ equivalent
Minimum CGPA 2.0
- Subject to Faculty discretion after reviewing transcript and syllabus. Max credit transfer of 30% of the programme total credits
Other qualifications deemed equivalent to STPM/A-Level by Malaysian Qualifications Agency
Minimum overall average of 60%, inclusive of minimum 60% in Mathematics and one relevant Physical Science subject
International Baccalaureate
Minimum 26/42 points from 6 subjects (inclusive Mathematics and one relevant Physical Science subject)
SAM
Minimum average of 60% in 5 subjects, inclusive of minimum scores of 60% in Mathematics and one relevant Physical Science subject
SACE/AUSMAT/TEE/SAM
Minimum overall average of 60%, inclusive of a minimum score of 60% in Mathematics and one relevant Physical Science subject
WACE/NTEC
Minimum overall average of 60%, inclusive of minimum 60% in Mathematics and one relevant Physical Science subject
Note / Legend:
Discretion is given to the Dean or Head of Department to deal with applicants who have results borderline to the Academic Requirements.
SPM Credit – 'A+' to 'C'O-Level – 'A' to 'C'
UEC Credit – 'A1' to 'B6'
STPM principal – 'A' to 'C'
A-Level principal – 'A' to 'D'
English Language Requirements
For Local Students
MUET
Band 3SPM English Language
Grade B+SPM English Language 1119/O-Level/IGCSE
Grade CUEC English Language
Grade A2- In the event that the English language requirements are not met, applicants will be required to take the Basic English and English Foundation for in-sessional academic enhancement concurrently with the programme.
For International Students
IELTS
Band 5.0Cambridge English Qualifications and Tests
154TOEFL IBT
42Pearson Test of English
47MUET
Band 3- International applicants who do not meet the respective academic programme’s English Language Requirement will need to improve their proficiency by enrolling into the English for Tertiary Education programme (R/KJP/00920-00929) which helps them prepare for attaining a required band score. Placement into the various levels of the English for Tertiary Education programme depends on the English Language qualification students have at the point of admission and/or the outcome of the English Placement Test.
- **The applicants who have met the respective academic programme’s English Language Requirement may be advised by Faculty to improve their proficiency by undertaking the additional English proficiency courses.
- 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 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
- Appreciation of Ethics and Civilisations
- Philosophy and Contemporary Issues
- Philosophy and Contemporary Issues
- Communication in Bahasa Melayu 3
Graduates are able to find career opportunities in the following roles:
System Engineer,
Software Engineer,
R&D Engineer,
Data Scientist,
Programmer,
Machine Learning Engineer
