Learning at Chapman

MS Computational and Data Sciences

Learning at Chapman

MS Computational and Data Sciences

» MS Computational and Data Sciences Learning Outcomes

Visit Program Website

  1. Graduates will develop quantitative reasoning skills which will enable them to:

    1. solve problems by utilizing extrapolation, approximation, precision, accuracy, rational estimation and statistical validity
    2. interpret data
    3. create quantitative models to describe natural phenomena.

  2. Graduates will be able to apply the principles of computational science to scientific problems. Students will develop critical thinking, end to end problem-solving, and data analysis skills. With these skills, they will be able to:

    1. collect, process and analyze data
    2. prioritize different potential solutions to a problem
    3. use advanced mathematics and computing to solve scientific problems.

  3. Graduates will be able to apply advanced principles of applied mathematics to scientific problems.

    1. Students will be able to evaluate the accuracy of approximations
    2. Students will be able to interpret the results of calculations.

  4. Graduates will be able to apply advanced principles of computer technology and computer science to scientific problems.

    1. Students will be skilled in the use of advanced high performance computer architectures including clusters and supercomputers. Students will be capable of creating programs to manipulate and analyze data on high performance computer systems.
    2. Students will construct solutions to scientific problems using advanced parallel algorithms and data structures.
    3. Students will analyze the performance of algorithms.