INTRODUCTION
This programme aims to produce graduates who possess in-depth knowledge and skills for scientific and analytical decision-making through quantitative and data science techniques, and are able to construct, analyze and visualize models for the best decision in various fields, especially industry.

The goal is to turn data into information and information into knowledge, then knowledge into insights and insights into decision, using appropriate quantitative and data science techniques.

PROGRAMME STRUCTURE

This programme is offered by coursework. Students are required to complete at least 41 credit hours, which comprises the following:

Core Courses (29 credit hours)

• Modelling in Operations Research
• Simulation for Decision Making
• Programming for Analytics
• Business Intelligence and Analytics for Decision Support
• Analytics Visualization
• Heuristic Techniques for Combinatorial
• Optimization Problems
• Research Methodology in Quantitative Studies
• Multi Criteria Decision Analysis
• Game Theory and Strategic Decision Making

Elective Courses (6 credit hours)

• Data Management and Analytical Tools
• Risk Analysis
• Strategic Dynamic Modelling and Analysis
• Marketing Behaviour and Social Media Analytics

Project Paper (6 credit hours)