Duration:3 years
Intakes:January, June & October
Campus:Cyberjaya & Melaka Campus
Level of Study:Degree
Faculty:Faculty of Computing and Informatics (FCI)
Course Code:(R2/481/6/0531) 02/25 (A5830)
About this course
This three-year programme equips students with fundamental computing knowledge and the latest technology. In year 1, all students learn common subjects before specialising in one of the following areas – Software Engineering, Game Development, Data Science or Cybersecurity – in the second year. Each designed specialisation prepares students with specific skills. Students will also complete a final year project and undergo industrial training to acquire practical industry experience.
Data Science: Focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business.
Total Course Fees
RM60,000.00
For a complete fee structure please refer here: https://www.mmu.edu.my/wp-content/uploads/2021/03/UG-Tuition-Fee_31-July-2021.pdf
There is currently a waiver package available. Please e-mail aizam.zaini@mmu.edu.my for more details.
Subject Listing
Calculus
Programming Fundamentals
Discrete Structures & Probability
Professional Development
Computational Methods
Object Oriented Programming & Data Structures
Computer Architecture & Organisations
Database Fundamentals
Research Methodology in Computer Science
U2
U4
Software Engineering Fundamentals
Operating Systems
Computer Networks
Object Oriented Analysis & Design
Algorithm Design & Analysis
Elective 1
Industrial Training
U3
Programming Language Translation
Advanced Database
Specialisation: Data Science
Introduction to Data Science
Statistical Data Analysis
Final Year Project
Elective 2
Elective 3
U1
U1
Workplace Communication
Specialisation: Data Science
Data Mining
Data Visualisation
Specialisation Elective 1
Specialisation Elective 2
Data Science:
Focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business.
TWO (2) subjects should be taken from the following based on specialisation:
Software Engineering
Theory of Computation
Programming Language Translation
Introduction to Formal Methods
Software Evolution Maintenance
Game Development
Game Production
Game Physics
Data Science
Data Management
Visual Information Processing
Social Media Computing
Cybersecurity
Digital and Computer Forensic
Database and Cloud Security
Blockchain and Smart Contracts
THREE (3) subjects should be taken from the following:
Systems Analysis & Design
Concepts of Programming Languages
Programming Language Translation
Theory of Computation
Artificial Intelligence
Parallel Processing
Web Application Development
Computer Security
Introduction to Formal Methods
Software Evolution & Maintenance
Game Physics
Game Design Fundamentals
Introduction to Data Science
Visual Information Processing
Data Management
Data Mining
Social Media Computing
Advanced Database
Cybersecurity Fundamentals
Cryptography and Data Security
Ethical Hacking and Penetration Testing
Blockchain and Smart Contracts
U1 – TITAS (Local) or Pengajian Malaysia III (International)
U1 – Hubungan Etnik (Local) or BM Komunikasi II (International)
U2 – Bahasa Kebangsaan or Foreign Language Beginners
U3 – Business and Entrepreneurship in Malaysia
U4 – Co-curriculum
Entry RequirementsApplicants must have one of the following Entry requirements:
• Pass Foundation/Matriculation studies from a recognised institution, AND
(a) a Credit in Additional Mathematics at SPM Level or its equivalent; OR
(b) a Credit in Mathematics AND one Science/Technology/Engineering subject at SPM Level or its equivalent.
Note : Candidate (b) is required to pass the reinforcement of Mathematics subject prior to pursuing to degree programme. However, the reinforcement of Mathematics subject can be exempted if the Foundation/Matriculation studies contain subjects in Mathematics and the achievement is higher or equivalent to the requirement of the Additional Mathematics at SPM level or its equivalent; OR
• Pass STPM in Science Stream or its equivalent with a minimum of Grade C (GP 2.00) inclusive of Mathematics and one Science / ICT subject; OR
• Pass A-Level with a minimum of Grade D in Mathematics and one Science / ICT subject; OR
• Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics, English and one Science / ICT subject; OR
• Diploma in Computer Science OR Software Engineering OR Information Technology OR Information Systems OR equivalent and any Diploma in Science and Technology from recognised institution with a minimum CGPA of 2.50. Candidates with CGPA below 2.50 may be admitted subject to a rigorous internal assessment process; OR
• Pass DKM /DLKM/DVM with a minimum CGPA of 2.50. Candidates with CGPA below 2.50 MUST have at least two (2) years of work experience in the related field.;
*Note: DKM /DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.
International Student Only
International students: Please contact MMUaizam.zaini@mmu.edu.my for more information
