Bachelor of Computer Science (Honours)

Course ID
(N/0613/6/0009)(12/27)(MQA/PA16019)
Campus
SEGi University
Level of Study
Bachelor Degree

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.

Get more info by downloading the brochure or applying below!

Entry requirements

Pass Matriculation or Foundation – min. CGPA of 2.0 AND credit in Add Math at SPM level or equivalent
Pass in STPM (Art Stream) with a minimum Grade of C (GP 2.00) in any TWO (2) subjects AND credit in Add Math at SPM level or equivalent
A pass in STPM (Science Stream) or its equivalent with a minimum Grade of C (GP 2.00) in Mathematics subject and ONE (1) Science / ICT subject
Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.50 may be admitted subject to a thorough rigorous assessment AND credit in Add Math at SPM level or equivalent
Diploma in Computing fields (Level 4, MQF) or its 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
A-Level – pass with 2 principals and credit in Add Maths for O-Level
UEC – pass with Grade B in 5 subjects (including Add Maths)
International Students – minimum of Band 3.5 in MUET

Programme structure and modules

Year 1

Discrete Structure
Internet of Things
Network and Data Communication
Programming Fundamentals
Operating Systems
Database Fundamentals
Systems Analysis and Design
Game Programming
Algorithms and Complexity
Intelligent System
System Fundamental
Web and Mobile System

Year 2

Information and Cyber Security
Software Engineering
Graphic and Visualization
Computer Architecture
Academic Research
Entrepreneurship
Software Development

Year 3

Final Year Project 1
Final Year Project 2
Big Data Analysis
Human Computer Interaction
Social Issues and Professional Practice
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 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-Curriculum: Sustainability Thinking (for local & international students)

Specialisation

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

4. Digital Transformation

Digital Transformation Strategy
Data Modelling
Enterprise Architecture and Digital
Data Analysis Programming
Enterprise Systems and ERP
Natural Language Processing
Digital Technologies and Innovation

Financial Aid / Funding

EduFlex

– Designed for adult learners, enjoy education loans with interest as low as 4%!

Career opportunities

IT Retail Digital Transformation IT Application & Digital Transformation, Digital Strategist.

Intakes & Orientation Dates

Full Time Mode
MC Degree Intakes
4/3/2025
8/4/2025
1/7/2025
29/7/2025
28/10/2025
25/11/2025
Orientation Dates
3/3/2025
7/4/2025
30/6/2025
28/7/2025
27/10/2025
24/11/2025
  Degree Intakes
14/1/2025
20/5/2025
9/9/2025
Orientation Dates
13/1/2025
19/5/2025
8/9/2025
Weekend Mode
Degree Intakes
18/1/2025
24/5/2025
13/9/2025
 
Orientation Dates
18/1/2025
24/5/2025
13/9/2025