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Course Overview

This programme aims to provide students with the technical knowledge and applied skills necessary for mastering data science and business analytics. The curriculum covers a wide range of topics, including machine learning, data visualization, forecasting methods, business intelligence, and big data analytics. Students will gain hands-on experience using tools such as R, SAS, and data analytics platforms, preparing them for a career in data science and analytics.

Students will also receive joint professional certification from SAS Institute, USA, and will have access to various industry-driven learning experiences.

Achievement

Cyber Security Innovation (Education) of the Year 2024 by CyberSecurity Malaysia

Curriculum

Pre-Requisite Modules (for non-computing students)
Duration: 1 month (Full-time) / 4 months (Part-time)

• Programming in Python
• Database for Data Science
• Statistics

CORE MODULES

• Big Data Analytics & Technologies
• Data Management
• Business Intelligence Systems
• Research Methodology for Capstone Project
• Applied Machine Learning
• Data Analytical Programming
• Multivariate Methods for Data Analysis
• Advanced Business Analytics and Visualisation
• Capstone Project 1
• Capstone Project 2

SPECIALISATION MODULES* (CHOOSE 1 PATHWAY ONLY)
 

Pathway 1 (Business Intelligence):

• Behavioural Science, Social Media and Marketing Analytics
• Time Series Analysis and Forecasting
• Strategies in Emerging Markets OR Multilevel Data Analysis OR Operational Research and Optimization

Pathway 2 (Data Engineering):

• Cloud Infrastructure and Services
• Deep Learning
• Natural Language Processing OR Building IoT Applications OR Data Protection and Management

* Specialisation modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules - however such changes may prolong the study duration.

Entry Requirements

General Requirements

Bachelor’s degree

• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, or its equivalent qualification as accepted by the Senate.
• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment.
• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and with relevant working experience, subject to a rigorous internal assessment.
• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and without relevant working experience, subject to passing pre-requisite courses.

Δ Fundamental skills in programming, database, mathematics and statistics would be an added advantage.

*Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.
 
Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).
 

English Requirements

INTERNATIONAL STUDENTS

• IELTS : 5.5

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Students from English speaking countries and those with qualifications taught in English (previous Bachelor’s/Master’s Degree taught in English) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Career Prospects

Graduates can pursue various career paths, including:

• Data Scientist
• Data Engineer
• Business Intelligence Analyst
• Machine Learning Engineer
• Data Analytics Manager
• Data Architect
• Business Analyst
• Big Data Engineer
• Analytics & Reporting Manager
• Decision Analytics Manager