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Bachelor of Science (Honors) Computer Science (Artificial Intelligence)

  • Bachelor

The Bachelor of Science (Honors) in Computer Science (Artificial Intelligence) provides a strong theoretical foundation in computer science, emphasizing mathematics and intelligent systems for decision-making. It is offered in partnership with Arizona State University.

Key details

Degree Type
Bachelor
Duration
4 - 4 years full-time
Course Code
N/0613/6/0097(08/31)
Study Mode
In person
Intake Months
Jan, Jun, Aug
Domestic Fees
$29,500 per year
International Fees
$7,056 per year

About this course

Overview

American Degree Program in partnership with Arizona State University

The Bachelor of Science (Honors) in Computer Science (Artificial Intelligence) aims to equip students with a comprehensive foundation that allows the graduates to implement acquired computing skills in contributing to the industry, research, and community through innovative teaching and learning methodology in computer science.

Computer Science programs in the U.S. are more mathematically based, allowing the graduates to be involved in algorithm and framework development. Mathematics is also the foundation of Intelligent Systems, which is crucial for decision-making. This is one contributing factor to a strong theoretical computer science foundation. Having this foundation is important in the innovation of new concepts and technology. This program is also based on the BS in Computer Science from the Ira Fulton School of Engineering, Arizona State University.

Entry requirements

Entry Requirements

American Degree Transfer Program (ADTP)

Completion of ADTP with a minimum CGPA of 2.00

STPM

A Pass in STPM (Arts Stream) with a minimum of Grade C (GP 2.00) in any two subjects; OR

A Pass in STPM (Science Stream) or its equivalent with a minimum of Grade C (GP 2.00) in Mathematics subject and one Science/ICT subject.

A-Level

Minimum 8 points (minimum Grade D in at least 2 subjects)

Note: For A-Level points calculation

  • A = 10 points
  • B = 8 points
  • C = 6 points
  • D = 4 points
  • E = 2 points

Australian Matriculation

Minimum ATAR score of 50%

Canadian Matriculation

Minimum 50%

Monash University Foundation Year

Minimum 50%

Foundation Program

Minimum CGPA of 2.00

Unified Examination Certificate

Maximum 28 points from 5 subjects (all Grade Bs including English)

International Baccalaureate

Completed with a minimum of 24 points (excluding bonus points)

Diploma

Diploma in Science and Technology with a minimum CGPA of 2.75; OR (Candidate with 2.50 ≤ CGPA ≤ 2.75 can be accepted subject to an internal assessment)

Diploma in Computing with a minimum CGPA of 2.50. (Candidate with 2.0 ≤ CGPA ≤ 2.50 can be accepted subject to an internal assessment)

Other Qualifications

Any other equivalent qualifications. An applicant with no standard qualification will be considered on a case-to-case basis.

English Language Requirements

  • SPM English or equivalent Credit
  • IELTS or equivalent Band 6.0 or equivalent
  • MUET Band 4
  • UEC English B4
  • O-Level English (1119) Credit
  • Sunway Intensive English Programme (IEP) Pass Level 4 with a minimum of 65%
  • ESL/English Satisfactory level in Pre-University programs, Diploma or ADTP where the medium of instruction is English

Specific Requirements

  • Credit in Additional Mathematics at SPM level or its equivalent; OR
  • If a candidate does not have a credit in Additional Mathematics at SPM level or its equivalent but has a credit in Mathematics and in one of the Science, Technology or Engineering subjects at SPM level or its equivalent, the candidate must take and pass the reinforcement Mathematics course equivalent to Additional Mathematics at SPM level in the first semester.

Applicants with the following qualifications are exempted from this requirement:

  • STPM (Science Stream)
  • Diploma in Computing

What you will learn

Overview

The Bachelor of Science (Honors) in Computer Science (Artificial Intelligence) aims to equip students with a comprehensive foundation that allows the graduates to implement acquired computing skills in contributing to the industry, research, and community through innovative teaching and learning methodology in computer science.

Computer Science programs in the U.S. are more mathematically based, allowing the graduates to be involved in algorithm and framework development. Mathematics is also the foundation of Intelligent Systems, which is crucial for decision-making. This is one contributing factor to a strong theoretical computer science foundation. Having this foundation is important in the innovation of new concepts and technology. This program is also based on the BS in Computer Science from the Ira Fulton School of Engineering, Arizona State University.

Career pathways

  • Computer Scientist
  • Data analyst
  • Artificial Intelligence Engineer
  • Computer Analyst
  • Computer System Engineer
  • Automation System Engineer

Course structure

Programme StructureYear 1
  • Programming 1
  • Programming 2
  • Data Structures and Algorithm
  • Introduction to AI
  • System Analysis and Design
  • English 1
  • Public Speaking and Presentation
  • Calculus I
  • Elective 1
  • Elective 2
Year 2
  • Introduction to Programming Languages
  • Database Management
  • Computer Organization and Assembly Language
  • Web Based Application Development
  • Introduction to Software Engineering
  • Computer Network
  • Change to Operating System
  • English 2
  • Calculus II
  • Probability and Statistics for Problem Solving
  • Discrete Mathematical Structures
  • Elective 3
Year 3
  • Human Computer Interaction
  • Information Assurance
  • Computing Ethics
  • Principles of Programming Language
  • Distributed Software Development
  • Introduction to Theoretical Computer Science
  • Probability and Statistics for Problem Solving
  • Artificial Intelligence Theory
  • Machine Learning for Data Science
Year 4
  • Capstone Project I & II
  • Artificial Intelligence Applications
  • Statistical Modelling and Inference
  • Internship
  • Elective 4
  • Elective 5
Elective Subjects
  • Principles of Sociology
  • Film Appreciation
  • Introduction to Psychology
  • US History to 1877
  • Intercultural Communication
MOHE compulsory General Studies subjectsFor Local Students
  • Appreciation of Ethics and Civilisation
  • Philosophy and Current Issues
  • Bahasa Kebangsaan A (applicable to students who did not sit for SPM or did not obtain a Credit in SPM Bahasa Melayu) OR Skills for Higher Education
  • Community Service for Planetary Health
  • Integrity & Anti-Corruption
  • Entrepreneurial Mindset and Skills
For International Students
  • Appreciation of Ethics and Civilisation
  • Malay Language for Communication 2
  • Skills for Higher Education
  • Community Service for Planetary Health
  • Integrity & Anti-Corruption
  • Entrepreneurial Mindset and Skills

How to apply

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