Course Details
| Year | Fee |
|---|---|
| 1st Year | MYR 48,912.00 |
| 2nd Year | MYR 50,112.00 |
| 3rd Year | MYR 25,056.00 |
| Description | Fee |
|---|---|
| International Student Charge | MYR 3,000.00 |
| Deposit (Refundable) | MYR 3,000.00 |
| International Student Fee (Annual) | MYR 2,300.00 |
| Visa and Insurance | MYR 2,968.00 |
| International Student Enrolment Fee | MYR 2,800.00 |
Overview
In the Data Science specialization, you will explore the field of data analysis and learn techniques to extract meaningful insights from large datasets. You will study areas such as data mining, statistical analysis, machine learning, and data visualization, providing you with the expertise to make data-driven decisions and contribute to the rapidly expanding field of data science.
Entry Requirements
- Pass SPM/O-level or equivalent with 5 credits (including Additional Mathematics) for entry with pre-university/foundation qualification (Except for UEC).
For other qualifications and certificates (e.g., Foundation, STAM, etc..) please contact our educational consultants or submit your application for Admission assessment.
Work-based Learning and Technopreneurship mode.
Education pathway
Dual Degrees from Taylor's University and UWE United Kindom
Taylor’s School of Computer Science (SCS) offers a dual award degree programme in collaboration with the Department of Computer Science and Creative Technologies, University of the West of England (UWE), UK.
A quality review committee, comprising academics from both institutions, is established for quality assurance and the moderation of the standards of the programmes, which includes curriculum and assessment. You will receive certification and academic transcripts from both Taylor’s University and UWE upon completion of your degree at Taylor’s.
Curriculum
Year 1
• Database Systems
• Computer Architecture and Organisation
• Object Oriented Programming
• Discrete Structures
• Principles of Software Engineering
• Systems Fundamentals
• Data Structures and Algorithms
• Operating Systems and Computer Networks
• Advanced Programming
Year 2
• Theory of Computation
• Machine Learning and Parallel Computing
• Ideating Start-up
• Specialisation modules
Year 3
Conventional Mode
• Capstone Project I
• Capstone Project II
• Human Computer Interaction
• Professional Practices and Information Security
Work-Based Learning Mode
• Human Computer Interaction
• Professional Practices and Information Security
• Industrial Project I
• Industrial Project II
Technoprenueurship Mode
• Human Computer Interaction
• Technopreneurship Project I
• Professional Practices and Information Security
• Technopreneurship Project II
Data Science Modules
Statistical Inference and Modelling
Data Science Principles
Data Mining
Big Data Technologies
