Master of Science in Data Science and Business Analytics (ODL)

Course Overview

Course Details

What you will be learning:

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.

Dual Degree Programme

Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

Admission requirements :

please contact our educational consultants or submit your application for Admission assessment.

Fee Structure

Curriculum

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: 4 months (ODL))

• 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 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 OperationsResearch and Optimization

Pathway 2 (Data Engineering):

• Cloud Infrastructure and Services
• Deep Learning
• Natural Language Processing OR Building IoT Applications OR Data Protection and Management

* Specialisation modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules - however such changes may prolong the study duration.