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Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
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+60142521561

EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Bachelor of Computer Science (Honours) (Artificial Intelligence)

About

The Bachelor of Computer Science (Honours) (Artificial Intelligence) program offers courses that impart knowledge in the development and utilization of advanced AI technology to solve real-world problems, mimicking human intelligence. Furthermore, the degree serves as a foundation for ongoing professional growth, equipping graduates for further study, careers in AI and computing-related fields, or other domains requiring the acquired skills and knowledge.

Key facts

Statistics
Qualification Bachelor's Degree
Study mode Full-time
Duration 3 years
Intakes March, July, November
Tuition (Local students) B$ 9,484
Tuition (Foreign students) B$ 12,194

Subjects

  • Computer Science

Duration

3 years

Tuition fees

Description Local students Foreign students
Tuition fee B$ 9,484 B$ 12,194
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance B$ 9,484 B$ 12,194
Estimated cost per year B$ 3,162 B$ 4,064

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Admissions

Intakes

Entry Requirements

i. Passed Sijil Tinggi Persekolahan Malaysia (STPM) with a full pass in two subjects or equivalent with a minimum Cumulative Grade Point Average (CGPA) of 2.0 and pass the Sijil Pelajaran Malaysia (SPM) or equivalent with a credit in Mathematics; or
ii. Passed the Matriculation Programme or Foundation of PPT recognized by the Malaysian Government with a CGPA of 2.0 and credit in Mathematics at SPM level or equivalent; or
iii. A-Level pass with a minimum pass in two subjects including a credit in Mathematics at SPM level or equivalent; or
iv. Passing the Unified Examination Certificate (UEC) with at least grade B in five subjects including Mathematics and English; or
v. Graduated Diploma [Level 4, Malaysian Qualifications Framework (MQF)] in Computing or equivalent with a CGPA minimum 2.5; or candidates who obtained a CGPA below 2.5 but above 2.0 may be accepted subject to a rigorous internal assessment process; or Graduated Diploma (Level 4, MQF) than field Computing with a CGPA minimum 2.5 and credit in Mathematics at SPM level; or
vi. Other equivalent qualifications recognized by the Malaysian Government.
vii. For non-Malaysian citizens, please refer to the Malaysian Qualifications Agency’s (MQA) List of Overseas Qualifications and its equivalency with Malaysian Education System to see if you qualify for this course.

Curriculum

  • - Principles of Programming
  • - Discrete Mathematics and Probability
  • - English
  • - Islamic Civilization and Asian Civilization (Elective)
  • - Computer Architecture and Organization
  • - Ethnic Relations (Elective)
  • - Operating Systems
  • - Database Management Systems
  • - Computer Networks
  • - Object-Oriented Programming
  • - Malaysian Government and Public Policy
  • - Data Structures and Algorithms
  • - Fundamentals of Artificial Intelligence
  • - Applied Statistics
  • - Values & Ethics in profession
  • - Machine Learning
  • - Human-Computer Interaction
  • - System Analysis and Design
  • - Software Engineering
  • - Data Science Principles
  • - Computational Intelligence
  • - High-Performance Computing
  • - Project Management
  • - Leadership Skills and Human Relations
  • - Pattern Recognition
  • - Computer Vision
  • - Organizational Behavior
  • - Intelligent Autonomous Robotics
  • - Natural Language Processing
  • - Final Year Project
  • - Industrial Training
  • - Data Visualization
  • - Business Intelligence Systems