Asia Pacific University of Technology & Innovation (APU)

Asia Pacific University of Technology (APU) is a top private university in Malaysia that combines technology, innovation, and creativity to equip graduates with the skills to thrive in the global business and society. APU has received numerous national and international awards, building a reputation as an impressive university that produces highly employable graduates. These graduates are equipped to make immediate contributions to their respective industries.

Course Information

Academic Qualification

Master

Duration

2.5 years

Intake

January , August, October

English Requirement

5.5

Class Type

ODL

Offer Letter

Free

Yearly Tuition Fees

First Year

18,400

MYR

Second Year

18,400

MYR

Total Tuition Fees 36,800 MYR

Other Fees

University International Admission fee 6,500 MYR

Refundable Deposit 1,500 MYR

Total Additional Fees 8,000 MYR

Grand Total (All Fees) 44,800 MYR

Course Overview

The Master of Science in Data Science and Business Analytics (ODL) at Asia Pacific University of Technology & Innovation (APU) equips students with advanced skills in data science, big data analytics, and business intelligence, preparing graduates for roles such as Data Scientist, Data Analyst, and Business Intelligence Manager.

Program Structure

Pre-Requisite Modules (for non-computing students): 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
Specialisation Pathways (choose one):
- 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 Operations 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

Entry 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.
International students: IELTS score of 5.5 or equivalent.

Career Opportunities

Data Engineer
Data Analyst
Business Analyst
Data Scientist
Chief Technology Officer (CTO)
Data Analytics Manager
Business Analyst Manager
Data Innovation Manager
Machine Learning Scientist
Business Process Engineer
Data Wrangler / Munger / Miner
Business Intelligence Manager
Analytics & Reporting Manager
Decision Analytics Manager

Highlights

Duration: Part-time (2.5–3 years)
Mode: 100% Online (Open & Distance Learning)
Intakes: April, June, August, October
Dual Degree: Option to opt-in for the APU-DMU Dual Degree Scheme, receiving degrees from both APU, Malaysia, and De Montfort University (DMU), UK.
Professional Certifications: Joint Professional Certification by SAS Institute, USA, and TIBCO Software Inc.

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Master of Science in Data Science and Business Analytics (ODL) at Asia Pacific University of Technology & Innovation (APU)