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Degree
BSC (HONS) In Computer Science (Artificial Intelligence) | Asia Pacific University APU
7
BSC (HONS) In Computer Science (Artificial Intelligence) | Asia Pacific University APU
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Specifications
省份/城市: 吉隆坡
授课语言: 英文
开课: 三月
开课: 七月
开课: 九月
开课: 十一月
课程: 本科
国家: 马来西亚
年度学费: 2万 - 4万 马币
Description
BSC (HONS) In Computer Science (Artificial Intelligence) Asia Pacific University APU
Duration
3 years
Mode
Physical
Campus
Bukit Jalil
Medium
English
Intake
Mar, Jul, Sep, Nov
Is this course suitable for you?
Step 1
Check Entry Requirements
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Step 2
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Step 3
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Step 4
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Student Type
Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen
Am I eligible?
UEC
5Bs, Contact us for more details
A-Level
2D, Contact us for more details
STPM
2C, Contact us for more details
IB
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OSSD/CIMP
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Gao Kao / Gao San
Score > 70%
English Requirements
IELTS 6.5 / TOEFL 90
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Merit Scholarships
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Scholarship Application
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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
E-Square Waiver
Processing Fee Waiver
E-Square Waiver
RM 500
Processing Fee Waiver
USD 0
Fee Breakdown
1
USD
=
4.2300
MYR
(
--
)
Tuition Fee
RM 102,200
Application Fee
RM 800
Library Deposit
RM 500
EMGS Fee
USD 0
International Administrative Fees
USD 0
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 103,500
Benefits via E-Square Application:
Scholarship up to
RM 0
Voucher:
RM 0
Course Structure
Degree Level 1
Introduction to Networking
Systems Software and Computing Concepts
Introduction to Databases
Python Programming
Systems Analysis and Design
Integrated Computer Systems
Fundamental of Entrepreneurship
Digital Thinking and Innovation
Specialised Modules:
Mathematical Concepts for Computing
Introduction to Artificial Intelligence
Introduction to Object Oriented Programming
Degree Level 2
Common Modules:
Innovation Process
Research Methods for Computing and Technology
Specialised Modules:
Systems and Network Administration
System Development Methods
Object Oriented Development with Java
Web Applications
Concurrent Programming
Computer Systems Low Level Technique
Data Structures
Programming for Data Analysis
AI Methods
Imaging and Special Effects
Internship (16 weeks)
Degree Level 3
Common Modules:
Venture Building
Development and Operations
Specialised Modules:
Investigations in Artificial Intelligence
Algorithmics
User Experience
Advanced Database Systems
Text Analytics and Sentiment Analysis
Image Processing, Computer Vision and Pattern Recognition
Further Artificial Intelligence
Optimization and Deep Learning
Project in Artificial Intelligence
MQA Compulsory Subjects:
Appreciation of Ethics and Civilisation (M'sian Students)
Malay Communication Language (Int'l Students)
Philosophy and Current Issues
Workplace Professional Skills
Integrity and Anti-corruption
Co-Curriculum
Future Career Prospects
Main Directions
Artificial Intelligence (AI) Engineer
Machine Learning Engineer
Data Scientist
AI Research Scientist
Computer Vision Engineer
Natural Language Processing (NLP) Engineer
Robotics Engineer
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