PhD in Computational Science and Engineering

PhD in Computational Science and Engineering

Computational Science and Engineering (CSE) is a discipline devoted to the study and advancement of computational methods and data analysis techniques to analyze and understand natural and engineered systems. CSE is inherently interdisciplinary, and integrates concepts and principles from computer science, mathematics, science, and engineering to define a new, cohesive body of knowledge that is rapidly changing. It solves real-world problems in science, engineering, health, and social domains, by using high-performance computing, modeling and simulation, and large-scale Big Data analytics.

Doctor of Philosophy in Computational Science and Engineering (PhD CSE) support the efforts and initiatives to make the Industry Policy 4.0 or Industry 4WRD planning possible. In line with that, FOUR research clusters are being emphasized in the programmes, they are ADVANCED MATERIALS, AEROSPACE TECHNOLOGY, MECHANICS and ADVANCED NUMERICAL METHODS which are reflected in the selections of core and elective courses offered.

Programme Educational Objectives (PEO)

​PEO-1. To produce graduates with ability to handle multidisciplinary problems by assimilating relevant information and applying mathematics, science and engineering principles.

PEO 2. To produce graduates who can deduce engineering ideas and concepts in order to solve issues in current field concerns and challenges.

PEO 3. To develop graduates with ability to make proper judgment related to professional, ethical, managerial and other nontechnical issues commonly encountered in engineering practice.

PEO 4. To develop graduates who can conduct original research and develop new technologies.

List of Compulsory Courses

- Research Methodology
- Seminar
- Advanced Computational Science and Technology

Choose one elective course

- Multiscales Computational Mechanics
- Extended Finite Element
- Boundary Element Method
- Advanced Algorithm

Research Report

PhD Thesis

E-Learning system

elearning.umam.edu.my
Supported by openlearning.com