Bachelor of Computer Science (Honours) – ODL
Course ID : (N-DL/0613/6/0092)(07/29)(MQA/PA17445)
Campus: SEGi University
Levels of Study: Bachelor Degree
Course Overview
The Bachelor of Computer Science (Honours) at SEGi University offers a 3-year programme with specialisations designed to prepare students for diverse career opportunities in the ever-evolving field of IT. Students can choose to specialise in one of four areas:
Artificial Intelligence: Gain a deep understanding of AI, covering machine learning, natural language processing, robotics, and decision-making systems, along with practical applications and
mathematical foundations.
Digital Transformation: Learn to integrate digital technology into businesses for enhanced efficiency, productivity, and innovation, focusing on electronic design automation (EDA) and semiconductor manufacturing.
Cybersecurity: Develop robust technical and problem-solving skills to safeguard systems, networks, and data from cyber threats, with opportunities for professional certifications.
Data Science: Delve into the multidisciplinary field of data science, extracting insights through statistical and computational methods, including data collection, analysis, modeling, and communication, with broad industry applications.
SEGi University offers state-of-the-art facilities, collaboration with industry partners, and experienced academic faculty with industry backgrounds. Our unique “Industry into Classroom” approach provides students with real-life industry projects, offering a practical learning experience. With a diverse student community representing over 90 nationalities, SEGi University fosters international exposure and networking.
Entry requirements
Pass in Matriculation or Foundation studies or STPM with minimum CGPA of 2.0 and minimum Grade C in any 2 subjects AND
a) O-Level / SPM – Add Maths subject OR
b) O-Level / SPM – Maths + Science / ICT / Engineering subject *
Pass in STPM-Science with minimum Grade C in Mathematics and Science / ICT subject
Pass in Diploma in Computer Science or Information Technology or other relevant field with minimum of CGPA 2.50 from higher education institute recognised by the Malaysian Government
Pass in Diploma in Computer Science or Information Technology or other relevant field with minimum of CGPA 2.00 from higher education institute recognised by the Malaysian Government AND pass SEGi internal evaluation process
* students may need to take a bridging course (i.e., additional 3 credits of Mathematics for Computing) during 1st semester of Degree study
For international student:
IELTS with minimum of score 5.0 or equivalent.
Programme structure and modules
Year 1
Mathematics for Computing
Discrete Mathematics
Introductory Programming
Computer Architecture & Organization
Introduction to Computer Science
Introduction to Operating Systems
Introduction to Networks
Data Structures and Algorithms
Object-Oriented Programming
Object-Oriented Analysis & Design
Database System
Digital Product Management
Year 2
Information System Security
Artificial Intelligence
Human Computer Interaction
Project Management
System Development Documentation
Introduction to IOT
IT Professional & Ethics
Environmental Management and Technology
Year 3
Final Year Project 1
Final Year Project 2
Industrial Attachment
MPU
Falsafah dan Isu Semasa (for local & international students)
Penghayatan Etika & Peradaban (for local students only)
Bahasa Melayu Komunikasi 2 (for international students)
Bahasa Kebangsaan A (for local students wiithout credit for BM in SPM) or Effective Listening”
Co-Curriculum: Sustainability Thinking (for local & international students)
Specialisation
Artificial Intelligence
Introduction to Artificial Intelligence
Data Analysis Programming
Data Mining
AI Methods
Advanced AI Computing
Robotic Process Automation
Object Detection
Business Intelligence
Deep Learning
Natural Language Processing
Digital Transformation
Introduction to Data Science
Introduction to Digital Transformation
Fundamentals of Data Engineering
Emerging Technology
Data Mining
Digital Transformation Strategy
Statistical Programming
Digital Thinking and Innovation
Machine Learning
Innovative Product Development
Business Intelligence
Data Modelling
Cloud Computing
Cyber Security
Introduction to Cybersecurity
Introduction to Ethical Hacking and Systems Defence
Introduction to Cryptography Applications
Wireless Communication
Computer Forensics
System Connection Security
Cloud Computing Security
Networks and Systems Administration
Cyber Law and Security Policy
Software Security
Network & Security
Data Science
Introduction to Data Science
Data Mining
Digital Transformation Strategy
Statistical Programming
Digital Thinking and Innovation
Machine Learning
Innovative Product Development
Business Intelligence
Data Modelling
Cloud Computing
Career opportunities
IT Retail Digital Transformation IT Application & Digital Transformation, Digital Strategist.
Intakes & Orientation Dates
Empowering Tech Experts of Tomorrow
Technology is evolving faster than ever. It’s not just about teaching the latest IT skills; it’s about equipping students to adapt to rapid technological advancements. With our industry-into-classroom approach, students learn both current and emerging technologies that drive the world, ensuring they are prepared for the future.
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