Bachelor of Science (Honors) Computer Science (Artificial Intelligence) | Sunway University

Bachelor of Science (Honors) Computer Science (Artificial Intelligence) | Sunway University

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Specifications
  • Province/City: Kuala Lumpur
  • Language for Teaching: English
  • Field of Study : Computer
  • Course Start Date: Jan
  • Course Start Date: Jun
  • Course Start Date: Aug
  • Course : Degree
  • Country: Malaysia
  • Annual Course Fees : Between RM 20k - 40k
Penerangan

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

Duration
4+0 years
Mode
Physical
Campus
Subang Jaya
Medium
English
Intake
Jan, Jun, Aug

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Step 2
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Step 3
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Student Type

Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen

Entry Requirement

UEC
B in 5 subjects (Maximum 28 points from 5 Grade B subjects including English)
A-Level
Minimum 8 points
STPM
Average C or CGPA 2.00
Pre-U
CGPA 2.00
Sunway Pre-U
CGPA 2.00
Other Qualification
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English Requirement Details:
• IELTS 6.0 or equivalent
• MUET Band 4
• UEC English B4
• O-Level English (1119) Credit

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PTPTN Loan Selection

Maximum
Household income < RM 4,000
75%
Household income < RM 8,000
50%
Household income > RM 8,000

Exclusive Grab Voucher

Exclusive Grab Voucher
RM 100

Fee Breakdown

Tuition Fee
RM 103,200
Resources Fee
RM 14,250
Deposit
RM 1,000
Application Fee
RM 700
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 119,120
Benefits via E-Square Application:
  • Scholarship up to RM 0
  • Voucher: RM 0

Course Structure

Year 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

Future Career Prospects

Main Directions
  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • Robotics Engineer
  • AI Research Scientist
  • Deep Learning Specialist
  • AI Software Developer
  • Business Intelligence Analyst
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