+60142521561
Msc in Data Science and Business Analytics
About
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.
Key facts
| Qualification | Master's Degree |
| Qualification Subtype | Master of Science (MSc) |
| Coursework / Research | Coursework |
| Study mode | Full-time, Part-time |
| Duration | 1 year |
| Intakes | January, April, May, June, August, October, December |
| Tuition (Local students) | $ 9,127 |
| Tuition (Foreign students) | $ 10,022 |
Subjects
-
Business
-
Information Tech (IT)
Duration
1 year
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 9,127 | $ 10,022 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | $ 9,127 | $ 10,022 |
| Estimated cost per year | $ 9,127 | $ 10,022 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
|
Library Deposit
(refundable)
Payable for the use of library facilities and is refundable on completion of studies. |
$ 111 |
|
Engineering Laboratory Deposit
(refundable)
Payable for the use of the Engineering laboratory facilities and is refundable on completion of studies. |
$ 111 |
| Enrollment Fees | $ 178 |
Foreign students
| Description | Amount |
|---|---|
|
Application & Student Visa Fees
STAGE 1 (Payable upon acceptance of offer) RM 2,650 (approx. USD 620)* is payable when you have accepted the offer. This fee includes Visa Processing Fees by Education Malaysia Global Services (EMGS) and APU/APIIT Application & Processing Fees. This also entitles you to airport assistance and transfer to the University/accommodation upon first arrival in Malaysia. Please note that this Fee is non-refundable once the offer has been accepted. STAGE 2 (Payable upon Student Pass Visa Approval) RM 1,500 (approx. USD 350)* is payable once your Student Pass is approved. This fee includes the post-arrival processing fee, EMGS medical check-up in Malaysia, Medical Insurance for a year, i-Kad (International Student Card issued by Immigration Malaysia) charged to ALL International students in Malaysia, Electronic Visa Approval Letter (eVal), and the Student Pass Fees for one-year. The i-Kad issued by Immigration Malaysia will enable students to avoid having to carry their passports around for identification purposes and will be tied to their Student Pass Validity and will be re-issued at visa renewal. Please note that this Fee is non-refundable once the Student Pass Visa Approval Letter (VAL) has been issued by EMGS. |
$ 928 |
|
International Student Registration & Administrative Fees
A fee of RM 5,000 is payable as registration & administrative fee for International Students. The Fees includes Student ID Card Fee for the duration of the course. |
$ 1,118 |
|
Library Deposit
(refundable)
Payable for the use of library facilities and is refundable on completion of studies. |
$ 111 |
|
Engineering Laboratory Deposit
(refundable)
Payable for the use of the Engineering laboratory facilities and is refundable on completion of studies. |
$ 111 |
| Personal Bond (refundable) | $ 223 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact 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. |
|
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
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)
- 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