Bachelor in CS (Hons) Artificial Intelligence

Artificial Intelligence (AI) is transforming industries such as healthcare, finance, manufacturing, and technology, driving the demand for AI professionals who can design, implement, and manage AI systems. This specialised programme equips students with theoretical knowledge, practical skills, and hands-on experience in AI technologies. The Bachelor of Computer Science with a specialization in AI ensures that Nilai University students stay ahead in a rapidly evolving field by equipping them with relevant expertise. This initiative responds to the increasing demand for AI professionals and aligns with current market trends.

STPM (Arts Stream):

• Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and a credit in Additional Mathematics at SPM Level or its equivalent OR 

• Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and a credit in SPM Mathematics and any one Science, Technology, or Engineering subject or its equivalent

STPM (Science Stream): Pass with a minimum Grade C (GP 2.00) in Mathematics and one (1) Science / ICT subject

A-Level:

• Pass with Grade D in any two (2) subjects and a credit in Additional Mathematics at SPM Level or its equivalent OR
• Pass with Grade D in any two (2) subjects and a credit in Mathematics and any one Science, Technology, or Engineering subject at SPM Level or its equivalent

STAM (Sijil Tinggi Agama Malaysia)

• Pass with a minimum grade of Jayyid (Good) in any two (2) subjects and a credit in Additional Mathematics at SPM Level OR
• Pass with a minimum grade of Jayyid (Good) in any two (2) subjects and a credit in Mathematics and any Science, Technology, or Engineering subject at SPM Level

5. UEC (Unified Examination Certificate)

• Pass with at least Grade B in any five (5) subjects and a credit in Additional Mathematics at 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 Science, Technology, or Engineering subject at SPM Level or its equivalent

6. Foundation / Matriculation:

• Pass with a minimum CGPA of 2.00 and a credit in Additional Mathematics at SPM Level or its equivalent
  OR
• Pass with a minimum CGPA of 2.00 and a credit in Mathematics and any one Science, Technology, or Engineering subject at SPM Level or its equivalent 

Candidates are required to take and pass a reinforcement mathematics subject in the first semester

Diploma in Computing Fields (Level 4, MQF):

• Pass with minimum CGPA of 2.50
• Candidates with CGPA below 2.50 but more than 2.00 may be subject to an internal evaluation/interview

Any Diploma in Science & Technology (Level 4, MQF)

• Pass with a minimum CGPA of 2.75
• Candidates with CGPA between 2.50 – 2.75 may be subject to an internal evaluation/interview

Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing Fields: Pass with a minimum CGPA of 2.50, subject to HEP Senate/Academic Board’s approval

English Language Requirements (For International Students)

• MUET: Minimum Band 3.5
• IELTS: Minimum 5.0
• TOEFL:
  • 7.5 (Ess Online)
  • 40 (iBT)
• Pearson PTE: Minimum 47
• Linguaskill Online: Minimum 154
• ELS: Level 107

Note: International students with qualifications where English is the primary language of instruction are exempted from this requirement. Students who do not meet the English language requirements may enroll in the Intensive English Programme at Nilai University to improve their skills and prepare for the IELTS examination.

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