Artificial Intelligence (AI) has experienced substantial growth and adoption across various industries, including healthcare, finance, manufacturing, and technology. The demand for professionals capable of designing, implementing, and managing AI systems is increasing. Offering an AI program aligns with current market trends, addressing the high demand for AI professionals and ensuring that Nilai University students remain up to date with the latest advancements in the field.
This specialised Bachelor of Computer Science (Honours) program focuses on equipping students with the knowledge, skills, and expertise required to understand, develop, and apply AI technologies. Throughout the program, they engage in theoretical learning, practical exercises, and hands-on projects whether in individual or group assignments to develop their technical skills and problem-solving abilities. In their final year, students have the opportunity to conduct original research in a specific area of computer science, culminating in a project that allows them to demonstrate their analytical, critical thinking, and research skills while showcasing their expertise in a particular aspect of artificial intelligence.
Entry Requirements
| STPM (Arts stream) |
Pass with a minimum Grade of C (GP 2.00) in any (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent OR Pass with a minimum Grade of C (GP 2.00) in any (2) subjects AND a credit in SPM Mathematics and any one of the Science, Technology or Engineering subjects or its equivalent. |
|---|---|
| STPM (Science stream) |
Pass with a minimum Grade of C (GP 2.00) in Mathematics subject and ONE (1) Science / ICT subject;Â or |
| A-Level | Pass with Grade D in any two (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent;
OR Pass with a minimum of Grade D in any two (2) subjects and a credit in Mathematics and any one of the Science Technology or Engineering Subjects at SPM Level or its equivalent; |
| STAM | Pass with minimum grade of Jayyid in any 2 subjects and credit in Additional Mathematics at SPM level
OR Pass with minimum grade of Jayyid in any 2 subjects and credit in Mathematics and any Science, Technology or Engineering subjects at SPM level. |
| UEC | Pass with at least Grade B in any five (5) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent; OR Pass with at least Grade B in any five (5) subjects and a credit in Mathematics and any one of |
| Foundation / Matriculation |
Pass with a minimum CGPA of 2.00 and a credit in Additional Mathematics at the SPM Level OR
Pass with a minimum CGPA of 2.00 and a credit in Mathematics and any one of the Science |
| Diploma in Computing fields (Level 4, MQF) | Pass with minimum CGPA of 2.50, CGPA below 2.50 but more than 2.00 subject to internal evaluation / interview; or |
| Any Diploma in Science & Technology (Level 4,MQF) |
Pass with a minimum CGPA 2.75; CGPA below 2.75 but more than 2.50 may subject internal evaluation / interview; or |
| Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM)  in Computing fields | Pass with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval |
English Language Requirements* (for international student)
| MUET | 3.5 |
|---|---|
| IELTS | 5.0 |
| TOEFL | 7.5 (Ess Online) / 40Â (iBT) |
| Pearson | 47 |
| Linguaskill OL | 154 |
| ELS | 107 |
International students with qualifications where English language is the main medium of instruction are exempted from this requirement
International students who do not fulfil the English Language Requirements may join the Intensive English Programme at Nilai University to builds their skills in the language and prepares them for the IELTS examination
Programme Highlights
Hands-on projects to develop technical and problem-solving abilities in these essential AI technologies:
- Machine learning
- Deep learning
- Artificial intelligence in robotics
- Fuzzy logic-based expert systems
- Big data analytics
- Computer vision
- Image processing
- Natural language processing
- Programming languages
- Python
- R
- Java
- C++
- Matlab
Programme Modules
Year 1
- EC3105 – C Programming
- EC3114 – Software Modeling and Analysis
- EC3119 – Database Systems
- EC3120 – Computer Architecture and Organisation
- EC3121 – Introduction to Object Oriented Programming
- EC3122 – Web Development
- EC3123 – Operating Systems Principles
- EC3127 – Understanding Computing
- EC3130 – Introduction to Data Communications and Networking
- EC3132 – Python Programming
Year 2
- EC3234 – Data Structure and Algorithms
- EC3240 – Computer Graphics
- EC3243 – Object Oriented Software Development
- EC3253 – Software Design and Architecture
- EC3269 – Human Computer Interaction
- EC3272 – Artificial Intelligence
- EC3284 – Discrete Structures
- EC3286 – Fuzzy Logic-Based Expert System
- EC3288 – Information Assurance Security
- EC3289 – Machine Learning
Year 3
- EC3302 – Theory of Computation
- EC3306 – Software Project Management
- EC3350 – Computer Vision and Image Processing
- EC3355 – Big Data Analytics
- EC3366 – Platform Based Development
- EC3367 – Parallel and Distributed Computing
- EC3368 – Artificial Intelligence in Robotics
- EC3374 – Deep Learning
- EC3371 – AI Project I
- EC3372 – AI Project II
- GP3304 – Internship
Programme Pathway
Career Prospects
- Artificial Intelligence (AI) Specialist
- Algorithm Specialist
- AI Platform Architect
- AI Analyst
- AI Engineer
- Natural Language Processing (NLP) Engineer
- Robotics R & D Engineer
- Machine Learning Engineer
- Computer Vision Engineer
- Deep Learning Scientist
- Software Engineer
- Python Programmer
- Data Scientist
- Big Data Analyst
- Big Data Engineer/Architect
- UX Designer/Developer
- BI Developer
- Researcher
- Research Scientist
