Doctoral of Philosophy Programme in Computational and Data Science
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Programme’s Philosophy
   Computational and data science is an interdisciplinary field that uses computational knowledge such as mathematics, statistics, and computers to analyze data from various fields of science that will lead to forecasting, pattern recognition and method for decision-making in areas to be applied, such as agriculture, business, natural resources and the environment, etc.
   The Computational and Data Science program focuses on producing personnel with advanced knowledge and research skills to develop cognitive processes and integrate Big Data from various sciences to create a model or pattern to create a new body of knowledge and understanding. This will lead to finding solutions to problems, decision making, innovation and the most effective management
Programme’s Objectives
Aim to produce knowledgeable Ph.D. Research competence in computational and data science with the following characteristics:
adhering to code of conduct
21st century skills
A positive attitude
Responsibility for duties and society and can work in diverse societies
Ability to develop innovative models by integrating various sciences related to lead to finding solutions to problems, decision making, innovation and the most effective management
Programme’s Highlights
Data and technology trends in data analytics, modeling, prediction and prescription
Data scientist is the hottest career topics in business and other fields
Variety of problems to pursue your study in a particular subject such as public health, economics and logistics, environment, agricultural science.