Bachelor of Engineering in Data Science (Honours) | Xiamen University Malaysia
Category: Degree
Specifications
Province/City
Kuala Lumpur
Language for Teaching
English
Field of Study
Computer
Course Start Date
Feb
Course Start Date
Apr
Course Start Date
Sept
Course
Degree
Country
Malaysia
Annual Course Fees
Between RM 20k - 40k
Details
Duration
4 Years
Mode
Physical
Campus
Millerz Square
Medium
English
Intake
Feb, April, September
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Step 1
Check Entry Requirements
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Step 2
Select scholarship and PTPTN
Step 3
Net Fees After Scholarship
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Step 4
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Student Type
Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen
Am I eligible?
Foundation
CGPA 2.00
UEC
5B
Diploma
- Computing CGPA 2.50
- Science & Technology CGPA 2.75
- Science & Technology CGPA 2.75
STPM
- (Science Stream) C in Maths & Science/ICT
- (Non Science) 2C & SPM C in Add Maths
- (Non Science) 2C & SPM C in Add Maths
A-level
2D in any subject
Other Qualification
Contact us
Note: SPM C in Add Maths or
SPM C in Math & any Science subject AND pass Mathematics placement test by XMUM
Select Scholarship
PTPTN Loan Selection
Maximum
Household income > RM 8,000
75%
Household income < RM 8,000
50%
Household income < RM 4,000
E-Square Waiver
E-Square Waiver
RM 0
Fee Breakdown
Tuition Fee
RM 116,000
Resource Fee
RM 0
Deposit
RM 0
Application Fee
RM 300
Hostel Application Fee (if needed)
RM 100
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 116,400
Benefits via E-Square Application:
- Scholarship up to RM 0
- Voucher: RM 0
Course Structure
Year 1
- Calculus
- Linear Algebra
- C and C++ Programming
- Introduction to Intelligence Application
- Data Structures
- Introduction to Data Science
Year 2
- Python and Tensorflow Programming Language
- Principles of Artificial Intelligence
- Database
- Probability Theory
- Design and Analysis of Algorithms
- Statistics
- Applied Machine Learning
- Software Engineering
- Major Elective (Choose 2):
- Principles of Operating Systems
- Computer Architecture
- Computer Networks and Communication
Year 3
- Regression Analysis
- Statistical Programming using R
- Data Mining
- Methods and Applications of Deep Learning
- Fundamental Research in Academic Project
- Time Series
- Big Data Analytics
- Major Elective (Choose 1):
- Object-Oriented Programming-Java
- Introduction to Cloud Computing
- Bayesian Statistics
- Major Elective (Choose 1):
- Natural Language Processing
- Statistical Learning
- Multivariate Statistical Analysis
Year 4
- Data Science Academic Project
- Advanced Machine Learning
- Advanced Data Analysis
- Industrial Training
- Major Elective (Choose 1):
- Deep Reinforcement Learning and Control
- Computer Graphics
Career Pathway
- Data Scientist
- Data Engineer
- Data Solution Specialist
- Data Architect
- Data Analyst
- Data Mining Specialist
- Applications Architect
- Analytics Manager
- Machine Learning Specialist
- Business Intelligence Developer
- Statistician
- Business Analyst
- Market Research Analyst
- Analyst Programmer
- Database Administrator
- Health Informatics Analyst
- Data Project Manager
- Bioinformatician
- Research Analyst
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