Bachelor of Computer Science (Honours)

Programme ID : (N-DL/0613/6/0092)(07/29)(MQA/PA17445)
Level of Study: Undergraduate

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Programme 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.

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.

Programme Info

  • A-Level – pass with 2 principals and credit in Mathematics for O-Level
  • UEC – pass with Grade B in 5 subjects (including Mathematics)
  • Pass in STPM with a minimum Grade of C (GP 2.00) in any TWO (2) subjects
  • Matriculation or Foundation – min. CGPA of 2.0 AND credit in Mathematics at SPM level
  • STPM – minimum grade of C (GP 2.00) in any TWO (2) subjects AND credit in Mathematics at SPM level
  • Diploma in Computing fields (Level 4, MQF) or equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough rigorous assessment
  • Diploma (Level 4, MQF) in Non-Computing with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a thorough rigorous assessment AND credit in Mathematics at SPM level
  • Other relevant Diploma – with min. CGPA of 2.5 and a credit in Mathematics for SPM
  • International Students – minimum of Band 3.5 in MUET or equivalent to CEFR (High B1) (International Students)
  • Year 1
  • Discrete Structure
  • Internet of Things
  • Network and Data Communication
  • Programming Fundamentals
  • Operating Systems
  • Database Fundamentals
  • Systems Analysis and Design
  • Software Fundamentals
  • System Paradigms
  • Integrated Systems Technology
  • Cloud Computing
  • Web and Mobile Systems
  • Year 2
  • Information and Cyber Security
  • Ethical Hacking
  • Data Mining
  • IT Professional Practice
  • Big Data Analysis
  • Academic Research
  • Entrepreneurship Environmental
  • Management and Technology
  • Year 3
  • Final Year Project 1
  • Final Year Project 2
  • User Experience Design
  • Information Management
  • Project Management
  • Computer Architecture
  • Industrial Attachment
  • Matapelajaran Umum (MPU)
  • Falsafah dan Isu Semasa (for local & international students)
  • Penghayatan Etika & Peradaban (for local students only)
  • Bahasa Melayu Komunikasi 2 (for international students only)
  • Bahasa Kebangsaan A (for local students without credit for BM in SPM) or Effective Listening
  • Integrity and Anti-Corruption (Local and International Students)
  • Co-Curiculum: Sustainability Thinking (for local & international students)
  • 1. Artificial Intelligence
  • Data Mining
  • Expert Systems
  • Robotic Process Automation
  • Data Analysis Programming
  • Robotic and Autonomous Systems
  • Natural Language Processing
  • Deep Learning
  • 2. Cyber Security
  • Cloud Computing
  • Computer Forensic
  • Ethical Hacking
  • Network and Security
  • Threat Intelligence
  • Blockchain Security
  • Deep Learning
  • 3. Data Science
  • Data Mining
  • Data Modelling
  • Robotic Process Automation
  • Data Analysis Programming
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • EPF
  • SEGi Monthly Instalment
  • Low Initial Payment
  • EduFlex
  • – Designed for adult learners, enjoy education loans with interest as low as 4%!
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