OVERVIEW
- Computational science is considered the “third branch” of science. It combines experimental and theoretical.
- Combines modeling and programming to test hypotheses (computer simulation) and is commonly performed prior to actual lab experiments.
- A student can combine the program with many areas, such as:
- Computer Science
- Physics
- Math
- Sociology
- Psychology
- The program is a great preparation for graduate school. Students wanting to work in this field need to plan to attend graduate school.
LEARNING OUTCOMES
Upon completion of the major, a student will have:
- A strong understanding of the three broad areas that comprise computational science:
- Data processing and analysis
- Algorithmic design, analysis and implementation
- Mathematical modeling and analysis
- The ability to work independently to effectively describe a problem within a computational science framework, and create and implement a plan to solve the problem.
- An understanding of the interdisciplinary nature of computational science, and being able to solve, computationally, problems in a chosen related major/minor discipline.
- An understanding and appreciation of the historical development of computation and the role of computational science in modern applications within data-dependent disciplines.
CAREER OUTCOMES
- Computational modeling
- Research scientist
- Bioinformatics
- Engineering
- Financial industry
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