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Bachelor of Computer Science (Hons.) Artificial Intelligence

About

The objective of this course is to equip students with the necessary knowledge and skills required to be successful in building the much-needed intelligent computer systems. Based on the solid foundations of Computer Science and Information Technology, the three-year degree programme covers the traditional grounds of artificial intelligence, such as fundamental in artificial intelligence, programming language concept, and computational intelligence. It then extends to advanced and deeper understanding of AI techniques in application, such as Computer Vision, Natural Language Processing, Data analytics, etc.

Key facts

Statistics
Qualification Bachelor's Degree
Study mode Full-time
Duration 3 years
Intakes March, July, October
Total estimated cost (local) ₹ 1,212,999
Total estimated cost (foreign) ₹ 1,505,288

Subjects

  • Computer Science

  • Computer Science, IT

Duration

3 years

Tuition fees

Description Local students Foreign students
Tuition fee ₹ 1,212,999 ₹ 1,505,288
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance ₹ 1,212,999 ₹ 1,505,288
Estimated cost per year ₹ 404,333 ₹ 501,762

Miscellanous fees explained

Local students

Description Amount
Admission Fee ₹ 11,106
Deposit ₹ 9,742
Yearly Student Development Fee ₹ 3,897

Foreign students

Description Amount
Admission Fee ₹ 14,614
International Processing Fee (Student Visa) ₹ 55,534
Deposit ₹ 9,742
Yearly Student Development Fee ₹ 3,897

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

  • Pass Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR
  • Pass STPM (Arts Stream) or its equivalent with a minimum Grade C (CGPA 2.00) in any two (2) subjects; OR
  • Pass STAM with a minimum grade of Jayyid in any two (2) subjects; OR
  • Any Diploma in Science and Technology (Level 4, MQF) with:
    • A minimum CGPA of 2.75; OR
    • CGPA between 2.50 – 2.74, subject to a thorough and rigorous assessment
  • Pass A-Level with a minimum Grade D (CGPA 2.00) in any two (2) subjects

AND a credit in:

  • Additional Mathematics at SPM level or equivalent; OR
  • Mathematics and any one Science, Technology, or Engineering subject at SPM level or equivalent.
    Candidates must take and pass a reinforcement Mathematics course equivalent to Additional Mathematics at SPM level. This must be completed in the first semester or before enrolment (unconditional offer only).

Alternatively, applicants may qualify with any of the following:

  • Pass STPM (Science Stream) or its equivalent with at least:
    • Grade C (GP 2.00) in Mathematics, and
    • Grade C in one (1) Science or ICT subject
  • Pass A-Level with at least:
    • Grade D in Mathematics, and
    • Grade D in one (1) Science or ICT subject
  • Pass UEC with a minimum Grade B in at least five (5) subjects, including:
    • Mathematics
    • English
    • One Science or ICT subject
  • Diploma in Computing (Level 4, MQF) or equivalent with:
    • Minimum CGPA of 2.50; OR
    • CGPA between 2.00 – 2.49, subject to rigorous assessment
  • Pass DKM / DLKM / DVM in Computing fields with a minimum CGPA of 2.50 (subject to Senate/Academic Board approval)*
  • Other relevant & equivalent qualifications recognised by the Malaysian Government.
    (Candidates must have Mathematics equivalent to Additional Mathematics at SPM. Otherwise, a reinforcement Mathematics course must be completed in the first semester or before enrolment with an unconditional offer.)

Curriculum

  • Core
    • Year 1
      • Computer Architecture and Organisation
      • Data Communications and Networking
      • Computer Programming
      • Database Systems
      • Operating Systems
      • System Analysis and Design
      • Ethics and Professional Conducts
      • Discrete Mathematics and Probability
      • Elective 1
      • Elective 2
      • U2
      • U3
      • U4
      • Character Building
      • Sustainable Society
    • Year 2
      • Human Computer Interaction
      • Software Engineering Fundamentals
      • Web Techniques and Application
      • Programming Language Concept
      • Artificial Intelligence Fundamentals
      • Data Structures and Algorithms
      • Computer Networks
      • Semantic Web Technology
      • Machine Learning
      • Computer Graphics
      • Data Analytics Fundamentals
      • Elective 3
      • Elective 4
      • U1
    • Year 3
      • Parallel Computing
      • Algorithm Design and Analysis
      • Data Wrangling and Visualization
      • Natural Language Processing
      • Cloud Computing
      • Expert Systems
      • Computational Intelligence
      • Computer Vision
      • Industrial Training
      • Project I
      • Project II
  • Elective Subjects (Choose any 4 subjects)
    • Fundamentals of Digital Competence for Programmers
    • Technopreneur Venture
    • Technology Transfer
    • Organisational Behaviour
    • Open Electives (Non-computing course from other faculties)

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