Msc in Data Science and Business Analytics

APU's MSc in Data Science and Business Analytics provides students with advanced technologies aligned with Industry 4.0, along with the opportunity to earn a Joint Professional Certification from SAS Institute, USA. The curriculum includes hands-on learning through mini projects, covering topics such as Analytical Technologies, R & SAS Modelers, Data Visualization, Behavioral Studies, Forecasting, and Business Intelligence. The program benefits from annual reviews by international university partners and an Industry Advisory Panel of data experts. Students also have access to research opportunities through APU’s Centre of Analytics (APCA).

This program, available full time (1+ years) and part time (2.5-3 years), is designed to offer:

• Knowledge and practical skills in data science, big data analytics, and business intelligence.
• A comprehensive understanding of the impact of data science on modern processes and business.
• Exposure to data science tools, techniques, and methods for collecting and utilizing data to transform it into valuable insights.

THE BENEFITS OF THE PROGRAMME

The programme offers a Joint Professional Certification from SAS Institute, USA, in addition to the degree award. It includes 30% of the curriculum dedicated to mini projects assessed as in-course work, promoting practical skills in Data Analytics. The curriculum encompasses various subjects, including Analytical Technologies, R & SAS Modelers, Data Visualization, Customer/User Behavioural Studies, Forecasting Methods, and Business Intelligence report presentation. There are External Programme Annual Reviews by International University Partners and support from an Industry Advisory Panel featuring experts from major companies like Petronas ICT, Maxis, and IBM. Moreover, research opportunities are available through APU’s Centre of Analytics - APCA.

WHO SHOULD ATTEND

This programme targets students seeking knowledge and practical skills in data science, big data analytics, and business intelligence. It focuses on developing analytical and investigative skills using data science tools and techniques, while enhancing critical interpretation abilities. Participants will learn the implications of data science on modern businesses and will be equipped to identify and implement specific tools and practices for data analysis enhancement.

GENERAL REQUIREMENTS

• 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

• IELTS: 6.0

This programme comprises 11 coursework modules, including 8 core modules and 3 specialisation modules, and a Capstone Project (2 parts).

Pre-Requisite Modules (FOR NON-COMPUTING STUDENTS)

Duration: 1 Month (Full time) / 4 Months (Part time)

1. Statistics
2. Database for Data Science
3. Programming in Python

Core Modules

1. Big Data Analytics & Technologies
2. Data Management
3. Business Intelligence Systems
4. Research Methodology for Capstone Project
5. Applied Machine Learning
6. Data Analytical Programming
7. Multivariate Methods for Data Analysis
8. Advanced Business Analytics and Visualisation
9. Capstone Project 1
10. Capstone Project 2

Specialisation Modules (Choose any 1 Pathway)

Pathway 1 (Business Intelligence):

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

Pathway 2 (Data Engineering):

1. Cloud Infrastructure and Services
2. Deep Learning
3. Natural Language Processing OR Building IoT Applications OR Data Protection and Management