Start Chat with a Counsellor
Study Mode | FULL TIME | ||||||||
Level | UNDER-GRADUATE | ||||||||
Duration | 3 Years | ||||||||
Intake |
|
Bachelor of Computer Science (Honours) in Data Science aims to cultivate data science experts with latest and advanced computer science industry and research experience. The programme also aims to nurture academics with core competencies needed in both computer science and data science. The programme develops programming skills for data science (Python), Natural Language Processing, Neural Networks, Cloud Computing, and Blockchain and its Applications. The students will be learning the generic skills in advanced statistical analysis and application, including Stochastic Analysis, Bayesian Statistics and Experimental Design, and Time Series Analysis and Forecasting.
STPM: Pass with a minimum Grade C (GP 2.00) in any 2 subjects and a credit in Additional Mathematics at SPM level or its equivalent;
or
STPM in Science Stream: Pass with a minimum of Grade C (GP 2.00) inclusive of Mathematics AND one Science / ICT subject;
A Level: Pass with min. of Grade D/full pass in Mathematics and one Science / ICT subject;
UEC: Pass with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics AND one Science / ICT subject
Matriculation or Foundation: Pass with min. CGPA of 2.00, AND a credit in Additional Mathematics at SPM level or its equivalent OR a credit in Mathematics AND one Science/Technology/Engineering subject at SPM level or its equivalent
*Diploma in Computer Science OR Software Engineering OR Information Technology OR Information Systems or equivalent: min CGPA of 2.5
*Any other Diploma in Science and Technology with minimum CGPA of 2.5 may be admitted, subject to rigorous internal assessment process and a credit in Additional Mathematics at SPM level or its equivalent.
*Note: CGPA below 2.5 but above 2.0 could be admitted, subject to the rigorous internal assessment process.
Others: Any other equivalent qualification recognized by the Malaysia Government which will be considered on a case-by-case basis
*RU ENGLISH REQUIREMENTS
*Students who did not meet RU English Requirement are required to take a Concurrent English Language Programme (CELP)
International Student
English Requirement
INTERNATIONAL ENGLISH ENTRY REQUIREMENT
*Students who did not meet International Student English Requirement are required to take an English Preparation Programme (EPP) and TOEFL or any equivalent English qualification.
Bachelor of Computer Science (Honours) in Data Science
YEAR 1
Semester 1 Semester 2 Semester 3
– Business Statistics
– Introduction to Computational Thinking
– OOP with Python 1
– Databases
– Computer System Fundamentals – Critical Thinking
– Linear Algebra
– Operating Systems and Computer Networks
– Discrete Mathematics
– Neural Network Basics
– U4: Community Service
– Neural Networks for Machine Learning
– Algorithms
– Data Analysis
– Software Specification & Modelling
YEAR 2
Semester 1 Semester 2 Semester 3
– U1: Ethics Appreciation and
Civilisation /Philosophy and Current Issue
– Artificial Intelligence Methods
– Data Processing Techniques
– U2: Creative Thinking/Bahasa Kebangsaan A
– OOP with Python 2 – U1: Philosophy and Current Issue / Malay Language Communication 2
– U3: Malaysian Innovation
– Natural Language Processing
– UI/UX Design
– Stochastic Analysis
– Bayesian Statistics and Experimental Design
– Data Visualisation
– Knowledge Representation
– Time Series Analysis & Forecasting
YEAR 3
Semester 1 Semester 2 Semester 3
– Project I
– Distributed Databases
– Python 3 – Advanced Data Analysis
– Entrepreneurship and New Business Development – Project II
– Ethics and IT
– Cloud Computing
– Business Analytics
– Blockchain & Its Applications
– Professional Attachment
Copyrights © 2024-25 Education Malaysia. All rights reserved.