M.Sc. Computational Sciences and Engineering
In this program, graduate students are trained on modern computational science techniques and their applications to solve scientific and engineering problems. New technological problems and associated research challenges, heavily depend on computational modeling and problem-solving.
Because of the availability of powerful and inexpensive computers, model-based computational experimentation is now a standard approach to analysis and design of complex systems where real experiments can be expensive or infeasible.
Graduates of the program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering.
Research Areas of Interest
- Computational Biology & Bioinformatics
- Computational Chemistry
- Molecular Dynamics and Simulation
- Parallel and High-Performance Computing
- Computational Electromagnetics
- Computational Fluid Dynamics
- Dynamical and Stochastic Systems
- Computational Physics
- Quantum Mechanics of Many-Body Systems
- Electronic Design Automation
- Numerical Methods
- Simulation of Material Synthesis
- Structural Dynamics
- Biomedical Modeling and Simulation
- Virtual Environments
Individuals with B.S. degrees in biology, chemistry, physics, and related engineering disciplines should apply:
- Personal and Educational Background Information (CV).
- Recommendation Letters (2 for MSc, 3 for Ph.D.).
- TOEFL (for those whose native language is not English).
- Internet-Based: Minimum Score 80
- Computer Based: Minimum Score 213
- Paper Based: Minimum Score 550
- GRE scores.
- Official transcripts from all the universities attended.
- Statement of Purpose.
- Areas of Interest.
Program taught in: