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

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

Category: Degree

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
Details

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
Contact Us
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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