Nov 25, 2024  
2023-2024 General Catalog 
    
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Mathematics/Statistics (Composite) - BA, BS


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College of Science

Department of Mathematics and Statistics

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  • For more information about Mathematics/Statistics (Composite), see the website.
  • Following is a sample four-year plan. Please note that student-specific plans may differ.
  • Admitted students must meet with their advisor, Linda Skabelund. Current students should also meet with Linda Skabelund and log on to Degree Works  to check student-specific program progress.

 

Minimum University Requirements

Total Credits 120

 

Grade Point Average (most majors require higher GPA)

2.20 GPA
Credits of C- or better 100 Credits of upper-division courses (#3000 or above) 40
Total USU Credits 30 Upper-division USU Credits 20
USU Credits within the Major 10 Credits in Minor (if required) 12
Credits in Major see below Credits in American Institutions 3
General Education Requirements    see link University Studies Depth Requirements    see link

 

Admissions Requirements for this Program

New freshmen Admitted to USU in Good Standing

 

Transfer students from other institutions or other programs at USU

2.20 GPA

ACT scores of 21 composite and 20 verbal/English and 19 mathematics/quantitative to be admitted

Notes: This major requires a 2.00 GPA. A grade of C- or better is required in all department major courses.

 

First Year

 Fall Semester

Credits

General Education Info and Notes:

 

Spring Semester

Credits

General Education Info and Notes:

ENGL 1010: Introduction to Writing: Academic Prose (CL1)   3     MATH 1220: Calculus II (QL)   4    
MATH 1210: Calculus I (QL)             4     STAT 3000: Statistics for Scientists (QI)    3    
Breadth Creative Arts (BCA)   3   ENGL 2010: Intermediate Writing: Research Writing in a Persuasive Mode (CL2)    3    
College of Science Course 4   College of Science Course  4  
Comments
Comments

Second Year

 Fall Semester

Credits

General Education Info and Notes:

 

Spring Semester

Credits

General Education Info and Notes:

MATH 2210: Multivariable Calculus (QI)   3     CS 1400: Introduction to Computer Science–CS 1   4    
MATH 2270: Linear Algebra (QI)   3     MATH 2280: Ordinary Differential Equations (QI)   3    
MATH 3310: Discrete Mathematics    3     STAT 5200: Analysis of Designed Experiments   3    
Breadth Social Sciences (BSS)   3   Breadth American Institutions (BAI)    
Comments
Comments

Third Year

 Fall Semester

Credits

General Education Info and Notes:

 

Spring Semester

Credits

General Education Info and Notes:

Breadth Humanities (BHU)      MATH 4310: Introduction to Algebraic Structures (CI)   3    
MATH 4200: Foundations of Analysis (CI)   3     MATH 5720: Introduction to Mathematical Statistics   3    
MATH 5710: Introduction to Probability   3     STAT 5XXX Elective Course 3  
STAT 5100: Modern Regression Methods (CI/QI)    3     Breadth Life Sciences (BLS)   3  
Comments
Comments

Fourth Year

 Fall Semester

Credits

General Education Info and Notes:

 

Spring Semester

Credits

General Education Info and Notes:

MATH 5210: Introduction to Analysis I   3     MATH 5XXX Elective Course  3  
MATH 5XXX Elective Course 3   STAT 5XXX Elective Course  3  
STAT 5XXX Elective Course 3   Depth Social Sciences (DSS)   2-3  
Breadth Life Sciences (BLS)     3   Depth Humanities and Creative Arts (DHA)   2-3  
Comments
Comments

(62 credits)

Students must complete the General Education Requirements 

Students must also complete the University Studies Depth Requirements .

Program Requirements

A grade of C- or better is required in all department major courses. Program coursework may not be taken on a pass/fail basis.

Requirements


Capstone Experience


The capstone experience is a 3-credit requirement for all Mathematics and Statistics majors. The capstone may be satisfied in several ways, including, but not limited to, completing an internship and a reflective essay, participating in a Research Experience for Undergraduates (REU), or completing MATH/STAT 5810. Other means of satisfying the requirement may be developed on an individual basis between the student and their faculty advisor.

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