虚拟导览
概述
电脑工程（人工智能）荣誉学士课程，是一门专为满足人力资源市场对人工智能技术人才的需求而设的课程。课程内容包括人工智能、电脑学、工程学等。学生可通过课程，掌握理解技术的敏锐度，人工智能历史、功能和应用人工智能的挑战。另外课程也涵盖核心理论基础，并提供先进的演算法、统计和电脑工程知识。
学生将通过机器视觉、语言、信号处理和机器人技术，学习人工智能的设计、建模、分析和应用。随着学生在相关专业领域熟练度的提升，并获得新的见解和知识，他们将发现自己在该高阶专业领域的重要性和影响力。
Academic Requirements
STPM
Minimum 2Cs including Mathematics and one relevant Physical Science subject
A Level
Minimum 2Ds including Mathematics and one relevant Physical Science subject
UEC
Minimum 5Bs including Mathematics and one relevant Physical Science subject
CPU
Minimum average of 60% in 6 subjects, inclusive of a minimum score of 60% in Mathematics and one relevant Physical Science subject
Local Matriculation
Minimum CGPA 2.0
Foundation from other University/ College
Minimum CGPA 2.0
WAEC/NECO
A maximum aggregate of 15 points out of best 5 subjects, inclusive of minimum B in Mathematics and one relevant Physical Science subject
Diploma/ Advance Diploma/ equivalent
Minimum CGPA 2.0
- Subject to Faculty discretion after reviewing transcript and syllabus. Max credit transfer of 30% of the programme total credits
Other qualifications deemed equivalent to STPM/A-Level by Malaysian Qualifications Agency
Minimum overall average of 60%, inclusive of minimum 60% in Mathematics and one relevant Physical Science subject
International Baccalaureate
Minimum 26/42 points from 6 subjects (inclusive Mathematics and one relevant Physical Science subject)
SAM
Minimum average of 60% in 5 subjects, inclusive of minimum scores of 60% in Mathematics and one relevant Physical Science subject
SACE/AUSMAT/TEE/SAM
Minimum overall average of 60%, inclusive of a minimum score of 60% in Mathematics and one relevant Physical Science subject
WACE/NTEC
Minimum overall average of 60%, inclusive of minimum 60% in Mathematics and one relevant Physical Science subject
English Language Requirements
For Local Students
MUET
Band 3.5SPM English Language
Grade B+SPM English Language 1119/O-Level/IGCSE
Grade CUEC English Language
Grade A2CEFR
B1 (High B1)- In the event that the English language requirements are not met, applicants will be required to take the Basic English and English Foundation for in-sessional academic enhancement concurrently with the programme.
For International Students
IELTS
Band 5.0Cambridge English Qualifications and Tests
154TOEFL IBT
40TOEFL ESSENTIALS (ONLINE)
7.5Pearson Test of English
47MUET
Band 3.5CEFR
B1 (High B1)- International applicants who do not meet the respective academic programme’s English Language Requirement will need to improve their proficiency by enrolling into the English for Tertiary Education programme (R/KJP/00920-00929) which helps them prepare for attaining a required band score. Placement into the various levels of the English for Tertiary Education programme depends on the English Language qualification students have at the point of admission and/or the outcome of the English Placement Test.
- **The applicants who have met the respective academic programme’s English Language Requirement may be advised by Faculty to improve their proficiency by undertaking the additional English proficiency courses.
- Mathematical Methods for Engineers I
- Circuit Theory I
- Electromagnetic Theory
- Engineering Graphics and Design
- Computing for Engineers
- Mathematical Methods for Engineers II
- Analogue Electronics I
- Digital Electronics I
- Statistics
- Electrical and Electronic Lab 1
- Computer Architecture
- Technical Communication
- Circuit Theory II
- Instrumentation and Measurement
- Electrical Power
- Algorithm Design and Analysis
- Object Oriented Programming
- Safety, Health and Environment
- Introduction to Artificial Intelligence
- Software Engineering
- Java Programming
- Electrical and Electronic Lab 2
- Computer Engineering and AI Lab
- Industrial Training I
- Digital Signal Processing
- Engineering Management and Economics
- Microprocessor Systems
- Data Communication and Networks
- Embedded System Design
- Control Systems
- Engineers in Society
- Communication Theory
- Machine Learning
- Human Computer Interaction
- Instrumentation and Control Lab
- Industrial Training II
- Integrated Design Project 1
- Operating Systems
- Cybersecurity
- Integrated Design Project 2
- Elective 1
- Elective 2
- Elective 3
- Final Year Project A*
- Final Year Project B
Specialisation 1: Business Analytics
Data Mining
Database Systems
Big Data
Specialisation 2: Computational Intelligence
Big Data
Machine Vision
Blockchain
Specialisation 3: Control and Intelligent System
Parallel Computing
Mobile Application Development
Advanced Instrumentation and Control
- Appreciation of Ethics and Civilisations
(Penghayatan Etika and Peradaban) - Philosophy and Contemporary Issues
(Falsafah dan Isu Semasa)
- Philosophy and Contemporary Issues
- Communication in Bahasa Melayu 3
(Bahasa Melayu Komunikasi 3)
本课程为学生提供了电脑工程和人工智能领域的坚实基础，包括人工智能系统背后的电子技术。毕业生将为在各先进技术领域开展职业生涯做好准备，课程设计有助于毕业生无论在传统人工智能岗位，或新兴的“负责任的人工智能”专家职位中取得成功，以应对快速扩展的市场需求。毕业生可从事的职业机会如下：
- 数据工程师（机器学习专家）
- 人工智能应用工程师
- 人工智能应用研究员
- 计算机视觉工程师
- 人工智能工程师
- 机器学习工程师
- 人工智能控制系统工程师
- 人工智能研究科学家
- 人工智能软件工程师
- 智能系统工程师
- 计算机系统工程师
- 计算机硬件工程师
- 程序员
- 电子工程师
- 学术研究人员
- 物联网（IoT）系统工程师
本国学生
总费用约：
RM 109,510
国际学生
总费用约：
RM 124,245
注：此为预估费用，因各国签证处理费和行政费而异。请向各国升学顾问咨询有关费用明细。
