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Bachelor of Engineering in Data Science (Honours)
Tuition Fees
Total programme feeRM 131,800
Quick Facts
LevelBachelor
Duration4 years
IntakeFebruary / April / September
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Apply NowFees by Study Year
Tuition for each year of the programme
- Year 1RM 32,000
- Year 2RM 32,000
- Year 3RM 32,000
- Year 4RM 32,000
Other fees
- Application Feeone-timeRM 100
- International Student Fee (including visa application and renewal)one-timeRM 2,500
- Registration Feeone-timeRM 200
- Security Depositone-timeRM 1,000
Total programme feeRM 131,800
Indicative fees in Malaysian ringgit. The final amount is confirmed in your offer letter. Fees exclude 6% SST where it applies.
- Science Stream: STPM with at least Grade C (GP 2.0) in Mathematics and one Science or ICT subject. Non-Science Stream: STPM with at least Grade C (GP 2.0) in any two subjects and a credit in Additional Mathematics at SPM level or equivalent. Other qualifications may be assessed for admission.
Bachelor of Engineering in Data Science (Honours) is a Bachelor programme at Xiamen University Malaysia Campus, lasting 4 years.
Subjects you will study
- Calculus
- Linear Algebra
- C and C++ Programming
- Introduction to Intelligence Application
- Data Structures
- Introduction to Data Science
- Python and Tensorflow Programming Language
- Principles of Artificial Intelligence
- Database
- Probability Theory
- Design and Analysis of Algorithms
- Statistics
- Applied Machine Learning
- Software Engineering
- Principles of Operating Systems
- Computer Architecture
- Computer Networks and Communication
- Regression Analysis
- Statistical Programming using R
- Data Mining
- Methods and Applications of Deep Learning
- Fundamental Research in Academic Project
- Time Series
- Big Data Analytics
- Object-Oriented Programming-Java
- Introduction to Cloud Computing
- Bayesian Statistics
- Natural Language Processing
- Statistical Learning
- Multivariate Statistical Analysis
- Data Science Academic Project
- Advanced Machine Learning
- Advanced Data Analysis
- Industrial Training
- Deep Reinforcement Learning and Control
- Computer Graphics