Master of Science in Data Science and Business Analytics at Asia Pacific University

USD 8,560

Asia Pacific University, MYS

Type: Masters Duration: 2.5 years

Explore the Master of Science in Data Science and Business Analytics program at Asia Pacific University. This program is offered in MYS and provides an excellent learning opportunity in Masters studies.

The Master of Science in Data Science and Business Analytics at Asia Pacific University (APU) is a fully online program designed to equip students with essential skills in data science, big data analytics, and business intelligence. This program is tailored to meet the demands of the Industrial Revolution 4.0, providing knowledge and applied skills necessary for modern business processes. The curriculum includes 11 coursework modules and a Capstone Project, with a focus on practical skills development through mini projects. Students can choose from two pathways: Business Intelligence or Data Engineering, allowing for specialization in areas such as deep learning and cloud infrastructure. The program also offers joint professional certifications from SAS Institute and TIBCO Software Inc., enhancing employability in a rapidly growing field. With a duration of 2.5 to 3 years, this program is suitable for part-time study, making it accessible for working professionals.

University
Asia Pacific University
University Location
MYS (Online)
Program Duration
2.5 years
Ranking
Not available
Part-time allowed
Yes

Required Courses
  • 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
Elective Courses
  • Behavioural Science, Social Media and Marketing Analytics
  • Time Series Analysis and Forecasting
  • Strategies in Emerging Markets
  • Multilevel Data Analysis
  • Operations Research and Optimization
  • Cloud Infrastructure and Services
  • Deep Learning
  • Natural Language Processing
  • Building IoT Applications
  • Data Protection and Management