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MSc in Data Science and Business Analytics (ODL)
Course overview
| Qualification | Master's Degree |
| Study mode | Part-time, Online |
| Duration | 3 years |
| Intakes | March, June, August, October |
| Tuition (Local students) | RM 38,100 |
| Tuition (Foreign students) | RM 38,850 |
About
APU's MSc in Data Science and Business Analytics program is designed to give you an advantage with the latest technologies associated with the Fourth Industrial Revolution.
Besides earning a degree, you can also get a Joint Professional Certification from SAS Institute, USA. About 30% of the program involves doing mini projects, which help you learn practical skills in Data Analytics.
You'll cover a lot of topics, including Analytical Technologies, using tools like R & SAS Modelers, Data Visualization, studying Customer/User Behavior, Forecasting Methods, and presenting Business Intelligence reports.
The program gets reviewed yearly by International University Partners. Plus, you'll have support from an Industry Advisory Panel made up of experts from companies like Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft, Fusionex, and Axiata.
There are also research opportunities available through APU’s Centre of Analytics (APCA).
Admissions
Intakes
Fees
Tuition
- RM 38,100
- Local students
- RM 38,850
- Foreign students
Estimated cost as reported by the Institution.
Application
- RM 150
- Local students
- RM 700
- Foreign students
Student Visa
- RM 2,400
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
| 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. |
|
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 : 6.0 |
Curriculum
PRE-REQUISITE MODULES
(FOR NON-COMPUTING STUDENTS: DURATION: 1 MONTH (FULL-TIME) / 4 MONTHS (PART-TIME))
- Introduction to R-programming
- Statistics
- Database for Data Science
- Programming in Python
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
- Capstone Project 1
- Advanced Business Analytics and Visualisation
- Capstone Project 2
SPECIALIZATION 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