Yearly Tuition fees | |||
---|---|---|---|
Year | Fee | ||
1st Year | MYR 20,667 | ||
2nd Year | MYR 20,667 | ||
3rd Year | MYR 20,667 |
Other Fees | |||
---|---|---|---|
Description | Fee | ||
Reg Fee and Enrolment Fee | MYR 6,260 | ||
Security Deposit | MYR 300 | ||
Technology Fee (yearly) | MYR 1,800 | ||
Facilities (yearly) | MYR 2,067 | ||
International Admin Fee | MYR 8,640 | ||
Visa Fee | MYR 2,150 |
The Bachelor of Computer Science (Honours) in Data Science Program at SEGi University Malaysia focuses on the multidisciplinary field of data science. Students learn statistical and computational methods to extract insights from complex datasets. The program covers data collection, pre-processing, exploration, analysis, modeling, and communication. Data science has wide-ranging applications across industries and has transformed decision-making processes.
For other qualifications and certificates (e.g., UEC, equivalent , etc..) please contact our educational consultants or submit your application for Admission assessment.
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
Information System Security
Artificial Intelligence
Human Computer Interaction
Project Management
System Development Documentation
Introduction to IOT
IT Professional & Ethics
Environmental Management and Technology
Final Year Project 1
Final Year Project 2
Industrial Attachment
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)
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