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MSc in Data Science and Business Analytics

Course Information

Mode: Physical
Duration: 18 Month
Intakes:

June, September

Campus:

Bukit Jalil

Type: Full-time Study
Application fees: 8850 RM
Tuition fees: 38800.00 RM

Course Overview

PROGRAMME OUTLINE

This programme is specifically designed to provide:

  • Knowledge and applied skills in data science, big data analytics and business intelligence.
  • Overall understanding of the impact of data science upon modern processes and business.
  • Exposure towards data science tools and techniques, as well as methods of data collection and utilisation, to turn data into useful information via 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 will allow for mini projects assessed as in-course work allowing for practical skills development in Data Analytics.
  • The curriculum covers a wide range of subject matter from Analytical Technologies, Exposure to tools such as R & SAS Modelers, Data Visualisation, Customer/User Behavioural Studies, Forecasting Methods and to Presenting the Business Intelligence reports.
  • External Programme Annual Reviews by International University Partners.
  • Programme Support by an Industry Advisory Panel involving data analytical experts from Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft, Fusionex and Axiata.
  • Research opportunities via APU’s Centre of Analytics - APCA.

WHO SHOULD ATTEND

This programme is designed to provide students with knowledge and applied skills in data science, big data analytics and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques, and to enhance data science knowledge and critical interpretation skills. Students will understand the impact of data science upon modern processes and businesses, be able to identify, and implement specific tools, practices, features and techniques to enhance the analysis of data.

MODULES & PROJECT

This programme comprises 11 coursework modules and a Capstone Project (2 parts). There are 8 compulsory Core Modules (including Research Methodology module) and you will have to choose 1 pathway (3 specialisation modules).

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 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

Universities Offering This Course

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