Bachelor in Computer Science (Honours) (Artificial Intelligence)
- Key Information
Course Name:
Bachelor in Computer Science (Honours) (Artificial Intelligence)
University Name:
Nilai University
Campus:
Nilai
Qualification:
Bachelor
Duration:
3 years
Intake:
January, June, September
IELTS:
5.0
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Coursework
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 24,000 |
| 2nd Year | MYR 24,000 |
| 3rd Year | MYR 24,000 |
Other Fees
| Description | Fee |
|---|---|
| Application Fee | MYR 700 |
| Caution Fee (Refundable) | MYR 1,500 |
| International Student Admission Fee | MYR 6,500 |
| Registration Fee | MYR 500 |
| Resource Fee (Yearly) | MYR 3,300 |
| Visa and Insurance/td> | MYR 2,900 |
Campus
Nilai
Qualification
Bachelor
Duration
3 years
Intake
January, June, September
IELTS
5.0
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 24,000 |
| 2nd Year | MYR 24,000 |
| 3rd Year | MYR 24,000 |
Other Fees
| Description | Fee |
|---|---|
| Application Fee | MYR 700 |
| Caution Fee (Refundable) | MYR 1,500 |
| International Student Admission Fee | MYR 6,500 |
| Registration Fee | MYR 500 |
| Resource Fee (Yearly) | MYR 3,300 |
| Visa and Insurance/td> | MYR 2,900 |
Course Overview
The Bachelor of Computer Science (Honours) in Artificial Intelligence at Nilai University offers a rigorous pedagogical framework designed to ground students in the mathematical foundations and cognitive modeling techniques of the intelligent systems era. The program facilitates a transition from general software development to specialized AI proficiency by synthesizing scholarly inquiry with applied algorithmic experimentation, ensuring that candidates can navigate the complexities of autonomous agents and high-velocity information ecosystems. The curriculum is strategically structured to provide a comprehensive mastery of critical AI pillars: Algorithmic Logic and Machine Learning: Cultivating the capacity to design and deploy self-learning models, including supervised, unsupervised, and reinforcement learning paradigms. Neural Networks and Deep Learning: Developing the expertise required to architect complex multi-layered neural structures capable of advanced pattern recognition and predictive analytics. Natural Language Processing (NLP) and Computer Vision: Establishing a thorough understanding of the methodologies used to enable machines to interpret human language and visual data. Autonomous Systems and Robotics: Mastering the integration of AI software with physical and virtual environments to create responsive, decision-making agents. In the final phase of the program, scholars engage in autonomous original research, requiring them to synthesize their technical mastery into a capstone project. This rigorous process demonstrates their analytical rigor and research methodology, serving as a definitive showcase of their expertise in a specialized niche of AI. Graduates emerge as versatile practitioners prepared for pivotal roles as AI Engineers, Machine Learning Researchers, or Intelligence Architects, possessing the prerequisite academic depth to lead innovation in the fourth industrial revolution.
Curriculum
Programme Structure
| Year | Modules Offered |
|---|---|
| Year 1: Computing Foundations |
|
| Year 2: Core AI & Algorithms |
|
| Year 3: Advanced AI & Capstone |
|
| Practical Training |
|
Field of Research
N/A