Bachelor of Computer Engineering with Honours

Overview

The Bachelor of Computer Engineering with Honours program at UTP University Malaysia focuses on the rapidly growing field of Computer Engineering. It covers a wide range of applications, from computer systems and telecommunication to mobile computing, manufacturing, medicine, and more. The program emphasizes a strong foundation in physics, mathematics, and programming skills, and covers areas such as electrical and electronic engineering, data networking, operating systems, and big data analytics. In the final year, students can specialize in areas like Intelligent Vision System, Next Generation Communication System, or Intelligent Robotics. This program prepares students for diverse career opportunities in the dynamic field of Computer Engineering.

Entry Requirement

• Foundation in a relevant field from a recognised institution
• Minimum final CGPA of 3.00/4.00

For other qualifications and certificates (e.g., UEC, Foundation, STAM, etc..) please contact our educational consultants or submit your application for Admission assessment.

Future Careers

• Software engineering
• Network engineering
• Systems engineering
• Data engineering 
• Embedded systems 
• Cloud engineering
• AI engineering
• Cybersecurity engineering

Curriculum

Among the courses offered 

Semester 1

• Penghayatan Etika dan Peradaban (Local) BM Komunikasi 2 (International)
• ​Introduction to Oil & Gas Industry & Sustainable Development
• ​Ethics and Integrity
• ​Engineering Mathematics 1
• ​Structured Programming and Interfacing
• Circuit Theory

Semester 2

• ​Falsafah dan Isu Semasa (Local & International)
• Health, Safety & Environment
• ​Engineering Mathematics 2
• ​Object Oriented Programming
• Digital Electronics

Semester 3

• ​One (1) U2 Course
• ​Academic Writing
• ​Scientific Inquiry
• Software Engineering
• ​Discrete Mathematics
• ​Co Curriculum I

Semester 4

• ​One (1) U3 Course
• ​Professional Communication Skills
• ​Signals and Systems
• ​Algorithm and Data Structure
• ​Operating Systems

Semester 5

• Data Analytics
• ​Engineering Team Project I
• ​Linear Algebra and Matrix Methods
• ​Entrepreuneurship
• ​Communication Systems

Semester 6

• ​Community Engagement Project
• ​Co Curriculum II
• ​Instrumentation and Control
• Engineering Team Project II
• ​Microprocessor and Computer Architecture
• ​Digital Twin

Semester 7

• ​Embedded and IOT Systems.
• Digital System Design
• ​Data & Computer Network
• ​Cloud System Technologies

Student Industrial Internship Programme

• ​Student Industrial Training (SIT)
• ​Student Industrial Project (SIP)

Semester 8

• ​Project Management
•  ​Probability and Random Process
• ​System Integrated Design Project
• ​Core Specialisation
• Computer Security

Semester 9

• ​Engineering Economics
• Artificial Intelligence & Applications
• ​Final Year Project I
• ​Core Specialisation

Semester 10

• ​Engineers in Society
• ​Final Year Project II
• ​Distributed and Parallel Processing
•  ​Core Specialisation

Core Specialisation (CSp) Courses

Choose any of the following sets of Core Specialisations areas (set A or B) for Core Specialisation I, II and III.

​​​A.  Intelligent Vision System​ ​ ​ ​ ​

• • Intelligent Systems
  • Image Processing and Machine Vision
  • Next Generation Cybersecurity

B.  Next Generation Cybersecurity ​ ​ ​ 

• • Next Generation Communications and Networks
  • Wireless Sensor Networks
  • Digital Communications

​​​C.  Intelligent Robotics ​ ​ ​ 

• • Robotics and Automation
  • Autonomous Robot Systems
  • Image Processing and Machine Vision

D.  Renewable Energy ​ ​ ​ 

• • Energy Management and Environment
  • Renewable Energy I
  • Renewable Energy II

Minor (EM) Courses

Engineering students can opt for a Minor in Data Science, which consists of 15 credits. Completion of all courses within the Minor package is required for eligibility, with the grades included in GPA/CGPA calculations. Pursuing the Minor is optional, and the earned credit hours are additional to the graduation requirements of 144 credits.

• ​​​​Minor in Management  ​ ​
  •  Artificial Intelligence
  • Simulation and Optimisation
  • Data Mining
  • Machine Learning
  • Data Visualization