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Bachelor in Data Science | Raffles University

Bachelor in Data Science | Raffles University

Category: Degree

Specifications
Province/City
Johor
Language for Teaching
English
Field of Study
Information Management
Field of Study
Computer
Course Start Date
Jan
Course Start Date
May
Course Start Date
Sept
Course
Degree
Country
Malaysia
Annual Course Fees
Between RM 20k - 40k
Details

Bachelor in Data Science | Raffles University
Duration
3 years
Mode
Physical
Campus
JB
Medium
English
Intake
Jan, May, Sep

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Step 2
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Step 3
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Student Type

Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen

Entry Requirement

UEC
Grade B in 5 subjects including Mathematics and ONE Science / ICT subject
A-Levels
Full Pass in 2 subjects AND Credit in Additional Mathematics at the SPM level or its equivalent
STPM
Pass with grade C (CGPA 2.00) in Mathematics subject and ONE Science / credit in mathematics at SPM level
Pre-U
CGPA 2.5 and credit in mathematics at SPM level
Other Qualification
Contact us

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PTPTN Loan Selection

Maximum
Household income below RM4000
75%
Household income RM4000-RM8000
50%
Household income above RM8000

E-Square Waiver

E-Square Waiver
RM 100

Fee Breakdown

Tuition Fee
RM 75,000
Administration Fee
RM 2,000
Admission Fee
RM 12,000
Application Fee
RM 1,000
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 90,000
Benefits via E-Square Application:
  • Scholarship up to RM 0
  • Voucher: RM 0

Course Structure

Year 1
  • Information Technology Essentials
  • Principles of Computer Programming
  • Discrete Mathematics
  • System Analysis and Design
  • Critical Thinking
  • Computer Organisation and Architecture
  • Databases
  • Operating Systems
  • Algorithms
  • Web Programming
  • Computer Networks
  • Mobile Applications Development
  • Human Computer Interaction
  • Neural Network Basics
  • Ethics Appreciation and Civilisation / Malay Language Communication 1
Year 2
  • Calculus and Algebra
  • Data Processing and Visualisation
  • Philosophy and Current Issue
  • Bayesian Statistics and Experimental Design
  • Elective 1
  • Computer Security
  • Object Oriented Programming
  • Creative Thinking / Bahasa Kebangsaan A
  • Time Series Analysis & Forecasting
  • Artificial Intelligence Methods
  • Ethics and Professional Practice in Computing
  • Data Analytics
  • Data Mining and Warehousing
  • Natural Language Processing
Year 3
  • Project I
  • Entrepreneurship and New Business Development
  • Knowledge Representation
  • Stochastic Processes
  • Integrity and Anti-Corruption
  • Project II
  • Parallel and Distributed Computing
  • Elective 2
  • Professional Attachment
Elective Module
  • Marketing
  • Fundamentals of Management
  • Business Communication
  • Emotion and Motivation
  • Cyber Psychology
  • Introduction to Multimedia
  • Game Design

Future Career Prospects

Main Directions
  • Computer Scientist
  • Data Scientist
  • Software Developer
  • Software Engineer
  • Systems Engineer
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