MS in Computational Science

The Master of Science in Computational Science addresses the growing demand for trained computational scientists and engineers, and data scientists. It combines a solid foundation in computational science skills with courses in a variety of scientific and engineering computer-intensive areas where modeling and simulation, data analysis, and high performance computing play a central role.

Working with an advisor, a student may choose to pursue an area of emphasis. The areas of emphasis are:

  • Computer Modeling and Simulation: Intended for students who wish to learn computational solution techniques for modeling and simulation of scientific and engineering phenomena.
  • Data Science: Intended for students who wish to learn computational methods for acquiring, extracting, and analyzing large-scale data obtained by observations, experiments, modeling, and database searches.

Students may also combine areas of emphasis to create their own customized curriculum under the guidance of the graduate coordinator.

Most of the courses are offered in the late afternoon or early evening to accommodate students with full-time employment outside of the university.


Why Computational and Data Science?

Computational and Data Science (CDS) is a multidisciplinary field and aims to provide technical skills and knowledge that can be applied to different fields such as finance, social networking, sports, natural language processing, machine learning, economics, bioinformatics, and business. These skills are important in today’s job market and graduate schools and can be developed by learning about data mining, visualization, and programming through learning skills such as MATLAB, Python, SQL, Tableau, and R.

Computational and data science is among the fastest growing field in computer science and data analytics. Many positions are unfilled because there is more demand for the skills that CDS graduates have. Job opportunities for CDS graduates include data engineering, information technology, computer programming, computational data, and computational biology. Opportunities are especially strong in Korea, since support of data intensive industries through the government’s Digital New Deal is expected to produce over 400,000 new jobs in data science fields by 2025.