51风流

Course Overview

This programme equips students with a broad range of knowledge and technical skills in essential facts, concepts, principles, and theories relating to Artificial Intelligent Systems. Students will study modules focusing on intelligent systems, data science & analytics, machine learning, IoT and intelligent systems integration, natural language processing and mobile platform programming. Emphasis is placed on application of theoretical principles, data structures & algorithms to optimize the performance of Intelligent Systems. These are essential skills for today's cloud computing and big data analysis. Also, students will undergo internships where they will gain hands-on experience.

The Programme objectives are to:

1. Equip students with knowledge and technical competencies in Intelligent Systems for today's dynamic IoT and Cloud Computing environment.
2. Equip students with the ability to provide innovative, creative, and ethical integrated solutions for Intelligent Systems.
3. Equip students with communication, teamwork, leadership, entrepreneurial, and social skills.
4. Produce graduates who can work globally and engage in research and life-long learning.

Curriculum

• Year 1
  • Mathematics in Computing
  • Basic Computing Principles
  • Programming Methods
  • System Analysis and Design
  • Computer Ethics and Cyber Law
  • Digital Electronics
  • Discrete Mathematics
  • Introduction to Intelligent Systems
  • Computer Networks
  • Database Systems
  • Structured Programming
• Year 2
  • IT Project Management
  • Business Intelligence
  • Database Management Systems
  • Generic Programming
  • Operating Systems
  • Visual Programming
  • Software Development
  • Embedded Systems
  • Computer Architecture
  • Multimedia Systems
  • Object Oriented Programming
  • Data Structures and Algorithms

• Year 3

  • Project 1
  • Human Computer Interaction
  • Artificial Intelligence
  • Elective I
  • Elective II
  • Project 2
  • IOT and Intelligent Systems Integration
  • Machine Learning
  • Natural Language Processing
  • Elective III
  • Elective IV
  • Elective I & II
    • Data Science Analytics
    • Mobile Platform Programming
    • Large-Scale Computing
    • 3D Modeling
  • Elective III & IV
    • Real-Time Analysis and Design
    • Cloud Computing
    • Distributed Systems
    • Rich Media Technology

  Upon completion of Year 2, students are required to undergo 12 weeks of industrial training.

Entry Requirements

• STPM – Minimum 2Cs with credit in Additional Mathematics or credit in Mathematics and Science/Technology/Engineering subjects at SPM or its equivalent.
• UEC – Minimum 5Bs (including English and Mathematics).
• GCE A-LEVEL – Minimum 2Es with 5 credits in GCE O Level / SPM (including English and Mathematics).
• FOUNDATION/MATRICULATION – Pass with minimum CGPA 2.0 with credit in Additional Mathematics in SPM or its equivalent.
• DIPLOMA – Pass minimum CGPA 2.5 with a credit in Additional Mathematics in SPM or its equivalent.
• OTHER QUALIFICATIONS – Equivalent qualifications which are recognized by the Malaysian Qualifications Agency.

Career Prospects

Upon completion of our Bachelor of Computer Science Degree in Malaysia, students will have both theoretical and practical foundations to apply their knowledge in real-world scenarios. They will graduate with skills needed in designing algorithms and data structures to develop software applications for beneficial projects.

Having a computer science degree in Malaysia opens up multiple career options in various fields including software development, data analysis, cybersecurity, AI, etc. This includes the following career pathways:

• Artificial Intelligence Design
• IoT Integration Systems
• Business Decision Systems
• Mobile Application Development
• Information Analysis
• Natural Language Programming Development
• Back-end Game Development
• Intelligent Cloud Systems

Study Abroad Pathway

Entry into our full-time/part-time Master of Software Engineering or Master of Business Administration (MBA) programme with special Alumni tuition fees.