MSc in Data Science and Business Analytics (Part-time)

Asia Pacific University of Technology & Innovation (APU)

Bukit Jalil, Kuala Lumpur, Malaysia

Quick Facts

Duration

2.5 years

Mode

Part-time, On-campus

Intake

Jan, Apr, Jun, Aug

Tuition Fees

RM40,800

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

Notes:

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

Pre-Requisite Modules (for non-computing students)
- Duration: 1 month (Full-time) / 2 months (Part-time)
  - Programming in Python
  - Database Fundamentals
  - Statistics
Core Modules:
- Big Data Analytics & Technologies
- Data Management
- Natural Language Processing
- 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

Specialisations Modules* (Choose 1 Pathway only)

Pathway 1 (Business Intelligence):
- Business Intelligence Systems
- Time Series Forecasting
- Behavioural Science, Social Media and Marketing Analytics OR Multilevel Data Analysis OR Operational Research and Optimization
Pathway 2 (Data Engineering):
- Cloud Infrastructure and Services
- DataOps and Production Machine Learning
- Deep Learning OR Intelligent Agents and Multi-Agent Systems OR Data Protection and Management

Note:

* 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.