Oct 15, 2024  
2023-24 Catalog 
    
2023-24 Catalog ARCHIVED CATALOG: Content may no longer be accurate.

Computational Statistics and Data Science (BS)


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Computational Statistics and Data Science (BS)

  • Program Prerequisite: Not required for Computational Statistics and Data Science.
  • Minor: No minor required
  • Grade Requirements: A grade of “C” or better in courses required for this major (a grade of “C-” is not acceptable), in addition to an overall 2.0 GPA and a 2.0 GPA in mathematics courses numbered 1210 or above.
  • Credit Hour Requirements: A minimum total of 120 credit hours are required for graduation; 48 of these are required within the major. A total of 40 upper division credit hours are required (courses numbered 3000 and above); at least nine (9) credit hours of upper division Mathematics must be completed at Weber State University.
  • Program Code: 6037BS
  • CIPC: 27.9999

Advisement

All Mathematics majors should see the Mathematics Department to be assigned an advisor. They should meet with their advisors at least once a year to help plan their programs and check on their progress. Call 801-626-6095 for more information or go to mathadvising.youcanbook.me to schedule an appointment. (Also refer to the Department Advisor Referral List.)

Use Grad MAPs to plan your degree.

Admission Requirements

Declare your program of study (see Program of Study (Major/Minor) Declaration) with your major department. There are no special admission or application requirements for the Regular Mathematics, Applied Mathematics, or Computational Statistics and Data Science majors. Mathematics Teaching majors must meet the Teacher Education admission and licensure requirements (See Teacher Education Department).

General Education

Refer to Degree Requirements for either Bachelor of Science or Bachelor of Arts requirements. COMM 1020  (HU), COMM 2110  (HU), ECON 2010  (SS), ECON 2020  (SS), and PHYS 2210  (PS) will fulfill requirements for both the major and general education.

Program Learning Outcomes

  • Students will understand the theoretical, conceptual, and applied underpinnings of Statistics
  • Students will understand the theoretical, conceptual, and applied underpinnings of Data Science
  • Students will demonstrate fundamentals and fluency in computation.
  • Students will effectively analyze and reason with data.
  • Students will be able to effectively communicate their results

Major Course Requirements for Computational Statistics and Data Science BS Degree


Required Lower Division Mathematics Courses Required (15 credit hours)


Statistical Concepts Electives (3 credit hours)


Take 3 credit hours from the following:

Business Communication Electives (3 credit hours)


Take 3 credit hours from the following:

Electives (9 credit hours)


Take at least 9 credit hours from the following:

Computing


Alternatively, 9 elective credits may be approved by the Department of Mathematics.


These courses are typically, but not limited to 3000 or 4000 level course, in the College of Science or in the College of Engineering, Applied Science and Technology, or in the Goddard School of Business and Economics.

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