Bachelor of Engineering in Data Science (Honours) at Xiamen University Malaysia

Description

The Bachelor of Engineering in Data Science (Honours) is a new programme offered by the School of Computing and Data Science. The programme is developed to cater for the growing market demand for data science graduates in various sectors, including but not limited to banking, commercial, industrial, medical, and public sectors. The programme aims at cultivating talents with a global mindset and analytical capabilities in the face of the constantly changing world. Upon completion of the programme, students will be equipped with mathematical, statistical, and computational skills needed in solving complex data problems.; The programme is supported by both local and international teams of academicians, including those seconded from the main campus. Our academicians comprise PhD degree holders in their respective specialities. The programme is also supported by prominent academic leaders from Computer Science and Technology Programme, Artificial Intelligence Programme, Software Engineering Programme, and School of Mathematics. Apart from teaching, our academicians are also very active in research and publication. Their diverse backgrounds in the respective niche fields give them an advantage in teaching in view of the fact that data science is a unique yet cross-disciplinary study.

Intake Month(s)

February, April, September

Application Fee RM 300.00

Refundable Deposit RM 300.00

Tuition Fee RM 124,000.00

Grand Total RM 124,600.00

Course Structure

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

Regression Analysis
Statistical Programming using R
Data Mining
Methods and Applications of Deep Learning
Fundamental Research in Academic Project
Time Series
Big Data Analytics

Data Science Academic Project
Advanced Machine Learning
Advanced Data Analysis
Industrial Training

Choose two
(Principles of Operating Systems/Computer Architecture/Computer Networks and Communication)
Choose one
(Object-Oriented Programming – Java/Introduction to Cloud Computing/Bayesian Statistics)
Choose one
(Natural Language Processing/Statistical Learning/Multivariate Statistical Analysis)
Choose one
(Deep Reinforcement Learning and Control/ Computer Graphics)

Entry Requirement

STPM (Science Stream):Minimum Grade C (GP 2.00) in Mathematics and one (1) Science/ICT subject at STPM level.
STPM (Non-Science Stream): Minimum Grade C (GP 2.00) in any two (2) subjects at STPM level with a credit in Additional Mathematics at SPM level or its equivalent.

Minimum of Grade D in any two (2) subjects at A-Level.

Minimum 5 credits (5Bs) including English

Minimum CGPA of 2.0 out of 4.0 at Foundation/Matriculation level.

Successful completion of Foundation/Matriculation with a minimum CGPA of 2.00 out of 4.0.

Successful completion of a Diploma in Computing fields (Computer Science, Software Engineering, Information Technology, Information Systems, or Data Science) with a minimum CGPA of 2.5 out of 4.0
Successful completion of any Diploma in Science and Technology or its equivalent with a minimum CGPA of 2.75 out of 4.0.

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