Scientific Computing Minor

Scientific computing is a field of applied computer science where computing theories and software techniques are used to serve and advance many diverse fields, including but not limited to business, science, engineering, and social science. The scientific computing minor program is designed to help students understand the development and use of scientific computing, as it relates to specific disciplines.

In order to select courses that meet the program requirements, students pursuing the minor must consult with both their major advisor and with the advisor of computational science in the Department of Computing Sciences.

Program Requirements

Complete the following courses:

MATH 242 - Modeling for Scientists I (3 credits) AND
MATH 242L - Modeling for Scientists I Laboratory (1 credit)
CSCI 140 - Introduction to Algorithmic Design I (3 credits) AND
CSCI 140L - Introduction to Algorithmic Design I Laboratory (1 credit)
CSCI 150 - Introduction to Algorithmic Design II (3 credits) AND
CSCI 150L - Introduction to Algorithmic Design II Laboratory (1 credit)
Choose three approved courses at the 300 level or above in the area of interest (9 Credits)

Total Credits Required: 21 Credits

Scientific computing minor students must earn a grade of ‘C’ or better in each course taken that is applied toward the minor requirements, and the three approved cognate courses in the area of interest must be determined in advance by: the minor advisor, the chair(s) of the disciplines of the cognate courses in question, and by the chair of the Department of Computing Sciences.