Statistics (BS)

Degree Requirements

• Students who change degree programs and select this major must adopt the most current catalog.
• Departmental Residency Requirement: at least 15 semester hours of regularly scheduled 3000-4000 level courses must be taken from the UCF Statistics and Data Science Department.
• Students must earn at least a "C" (2.0) in each course with a STA prefix.
• Students must achieve a minimum 2.0 cumulative GPA in all computer science and mathematics courses satisfying major requirements.
• Students must achieve a minimum cumulative GPA of 2.0 in all courses satisfying major requirements.
• Co-op or internship credit cannot be used in this major.
• Students should consult with a departmental advisor.
• All prerequisites of courses taught within the College of Sciences will be enforced.
• Courses designated in 1 (General Education Program) are generally spread over 4 years, and those designated in 2 (Common Program Prerequisites) are usually completed in the first 60 hours.
• All statistics courses except the following, and those protected by Florida Common Course Numbering, must be taken from or approved by the Statistics and Data Science Department at UCF.
  • STA 2023 - Statistical Methods I
  • STA 3032 - Probability and Statistics for Engineers

Degree Requirements

Core Requirements: Basic

• All courses specifically identified in the GEP (MAC2311C, BSC2010C, and (CHM2045C or PHY2048/PHY2048L or PHY2048C) and CPP (COP3223C, MAC2312, MAC2313, STA2023, and (CHM2046/ CHM2046L or BSC2011C or PHY2049/PHY2049L or PHY2049C) meet the Basic Core requirement.

Core Requirements: Advanced

• Complete all of the following
  • Complete the following:
    • COT4500 - Numerical Calculus (3)
    • ENC3241 - Writing for the Technical Professional (3)
    • STA4102 - Computer Processing of Statistical Data (3)
    • STA4163 - Statistical Methods II (3)
    • STA4164 - Statistical Methods III (3)
    • STA4321 - Statistical Theory I (3)
    • STA4322 - Statistical Theory II (3)
  • Complete at least 1 of the following:
    • MAS3105 - Matrix and Linear Algebra (4)
    • MAS3106 - Linear Algebra (4)
  • Complete at least 1 of the following:
    • COT3100C - Introduction to Discrete Structures (3)
    • MHF3302 - Logic and Proof in Mathematics (3)
  • Complete at least 4 of the following:
    • STA4173 - Biostatistical Methods (3)
    • STA4241 - Statistical Learning (3)
    • STA4222 - Sample Survey Methods (3)
    • STA4345 - Applied Bayesian Statistics (3)
    • STA4364 - Statistical Foundations of Data Science and Artificial Intelligence I (3)
    • STA4502 - Nonparametric Statistical Methods (3)
    • STA4504 - Categorical Data Analysis (3)
    • STA4664 - Statistical Quality Control (3)
    • STA4852 - Applied Time Series (3)

Restricted Electives

• Complete all of the following
  • Earn at least 9 credits from the following types of courses: Select from upper division or graduate (5000 level), statistics (STA or ISC prefix), mathematics, or computer science courses. Selected courses in engineering or business may be used but must first be approved by the Department of Statistics and Data Science.
  • The following courses cannot be used to satisfy this requirement: MHF 4404 - History of Mathematics Any course with the MAE prefix

Grand Total Credits: 49