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MSc in Data Science and Business Analytics (ODL)
About
This programme is specifically designed to provide:
- Knowledge and applied skills in data science, big data analytics, and business intelligence.
- An overall understanding of the impact of data science on modern processes and businesses.
- Exposure to data science tools and techniques, as well as methods of data collection and utilisation.
- The ability to turn data into useful information through various processes.
The Benefits of the Programme
- In addition to the degree award, a Joint Professional Certification will be offered by SAS Institute, USA.
- 30% of the curriculum includes mini projects assessed as in-course work, allowing for practical skills development in Data Analytics.
- The curriculum covers a wide range of subject matter, including:
- Analytical Technologies
- Exposure to tools such as R & SAS Modelers
- Data Visualisation
- Customer/User Behavioural Studies
- Forecasting Methods
- Presenting Business Intelligence reports
- External Programme Annual Reviews by International University Partners.
- Programme Support by an Industry Advisory Panel, including experts from:
- Petronas ICT
- RedTone
- SharePoint
- CyberSecurity Malaysia
- Maxis
- IBM
- Microsoft
- Fusionex
- Axiata
- Research opportunities via APU’s Centre of Analytics (APCA).
Who Should Attend?
This programme is designed for students who:
- Want to gain knowledge and applied skills in data science, big data analytics, and business intelligence.
- Aim to develop analytical and investigative knowledge and skills using data science tools and techniques.
- Wish to enhance their critical interpretation skills and understanding of data science’s impact on modern businesses.
- Seek to identify and implement specific tools, practices, and techniques to improve data analysis.
Key facts
| Qualification | Master's Degree |
| Qualification Subtype | Master of Science (MSc) |
| Coursework / Research | Coursework |
| Study mode | Part-time, Online |
| Duration | 2.5 years |
| Intakes | April, June, August, October |
| Total estimated cost (local) | $ 8,434 |
| Total estimated cost (foreign) | $ 8,434 |
Subjects
-
Business
-
Computer Science, IT
Duration
2.5 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 8,434 | $ 8,434 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | $ 8,434 | $ 8,434 |
| Estimated cost per year | $ 3,373 | $ 3,373 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
|
Library Deposit
(refundable)
|
$ 114 |
|
Engineering Laboratory Deposit
(refundable)
|
$ 114 |
| Enrollment Fees | $ 183 |
Foreign students
| Description | Amount |
|---|---|
|
Application & Student Visa Fees
|
$ 951 |
|
International Student Registration & Administrative Fees
|
$ 1,146 |
|
Library Deposit
(refundable)
|
$ 114 |
|
Engineering Laboratory Deposit
(refundable)
|
$ 114 |
| Personal Bond (refundable) | $ 229 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.
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.
Admissions
Intakes
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.
- 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
Curriculum
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: 4 Months
- 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
- Advanced Business Analytics and Visualisation
- Capstone Project 1
- Capstone Project 2
Specialisation Modules (Choose any 1 Pathway)
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