Bachelor of Computer Science (Honours) in Data Science at Multimedia University (MMU)

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Multimedia University (MMU)

Multimedia University has been in the education field for more than 20 years and has undergone countless changes, but it has always maintained its vision and mission to achieve the highest performance standards in teaching and the services we provide to students, faculty, and the community. As an educational institution, Multimedia University (MMU) is committed to achieving its vision of higher customer satisfaction through continuous improvement of an effective quality management system that meets the requirements of ISO 9001:2015 and applicable regulatory requirements.

Course Information

Academic Qualification
Bachelor
Duration
3 years
Intake
April , July, October
English Requirement
5
Class Type
Full Time
Offer Letter
Free

Yearly Tuition Fees

First Year
25,750
MYR
Second Year
25,750
MYR
Third Year
25,750
MYR
Total Tuition Fees 77,250 MYR

Other Fees

International Processing Fee 3,500 MYR
Refundable Deposit 1,500 MYR
Registration Fee 2,000 MYR
Total Additional Fees 7,000 MYR
Grand Total (All Fees) 84,250 MYR

Course Overview

The Bachelor of Computer Science (Honours) in Data Science at Multimedia University (MMU) is a 3-year undergraduate programme designed to develop professionals equipped with the theoretical knowledge and practical skills to analyse, interpret, and apply data-driven insights to solve real-world problems. This programme focuses on statistical reasoning, data analysis, machine learning, big data technologies, and data visualisation to prepare graduates for data-intensive roles across various industries. :cite

Program Structure: Comprehensive Training in Data Science

The curriculum spans three years and integrates foundational computer science concepts with specialised data science techniques, combining theory, practical labs, and project work to build a strong analytical foundation and applied competence. :cite

  • Year 1 – Foundations in Computing & Data Principles
    • Introduction to Programming
    • Mathematics for Computing
    • Statistics for Data Science
    • Database Systems
    • Data Communications and Networking
    • Introduction to Data Science
    • Discrete Mathematics
  • Year 2 – Core Data Science Techniques
    • Data Wrangling and Preprocessing
    • Machine Learning Fundamentals
    • Algorithms and Data Structures
    • Data Visualisation
    • Probability and Statistical Modelling
    • Big Data Technologies
    • Software Engineering for Data Applications
  • Year 3 – Advanced Analytics & Industry Exposure
    • Advanced Machine Learning
    • Predictive Modelling and AI Techniques
    • Cloud Data Platforms
    • Industrial Training
    • Capstone Project I & II
    • Elective Subjects
    • Ethics and Governance in Data Science

Entry Requirements

Applicants may qualify through Foundation/Matriculation, STPM, A-Level, UEC, Diploma (Computing or related fields), or other recognised equivalent qualifications. A Mathematics requirement at SPM level (or equivalent) applies. :cite

Career Opportunities

Graduates are prepared for analytical and data-focused professional roles across industries that leverage large-scale data insights. :cite

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Big Data Engineer
  • Data Visualisation Specialist
  • AI Solutions Developer
  • Data Consultant

Program Highlights

  • Duration: 3 years (Full-time). :cite
  • Strong Data Emphasis: Focus on analytics, statistical modelling, and predictive techniques. :cite
  • Hands-on Learning: Practical labs, data projects, and real-world datasets. :cite
  • Industry-Relevant Skills: Big data, machine learning, data visualisation, and cloud platforms. :cite

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