Mathematics (Statistics for Data Science) - Bachelor of Science (Online)

The Statistics for Data Science concentration is intended to prepare students planning a data science oriented career upon graduation. The coursework in this concentration provides a foundation in mathematics and statistics important in data science.

Students must complete all University degree requirements, which include: General Education requirements, Viewing a Wider World requirements, and elective credits to total at least 120 credits with 48 credits in courses numbered 300/3000 or above. Developmental coursework will not count towards the degree requirements and/or elective credits, but may be needed in order to take the necessary English and Mathematics coursework.

Prefix Title Credits
General Education
Area I: Communications
English Composition - Level 1
ENGL 1110GComposition I4
or ENGL 1110H Composition I Honors
or ENGL 1110M Composition I
English Composition - Level 2
ENGL 2210GProfessional and Technical Communication3
or ENGL 2210H Professional and Technical Communication
or ENGL 2210M Professional and Technical Communication for Multilingual Students
Oral Communication
COMM 1115GIntroduction to Communication3
or HNRS 2175G Introduction to Communication Honors
Area II: Mathematics
MATH 1511GCalculus and Analytic Geometry I (Departmental/College Requirement) 14
or MATH 1511H Calculus and Analytic Geometry I Honors
Area III/IV: Laboratory Sciences and Social/Behavioral Sciences10-11
Area III: Laboratory Sciences Course (4 credits) 2
Area IV: Social/Behavioral Sciences Course (3 credits) 2
Either an Area III/IV: Laboratory Sciences or Social/Behavioral Sciences Course (4 credits or 3 credits) 2
Area V: Humanities 23
Area VI: Creative and Fine Arts 23
General Education Elective
MATH 1521GCalculus and Analytic Geometry II (Departmental/College Requirement)4
Viewing a Wider World 36
Departmental/College Requirements
MATH 1350GIntroduction to Statistics3
MATH 2415Introduction to Linear Algebra3
MATH 2530GCalculus III3
MATH 3140Introduction to Numerical Methods3
MATH 4230Applied Linear Algebra3
MATH 3160Introduction to Ordinary Differential Equations3
STAT 3110Statistics for Engineers and Scientists3
STAT 4210Probability: Theory and Applications3
STAT 4220Statistics: Theory and Applications3
Non-Departmental Requirements (in addition to Gen.Ed/VWW)
CSCI 1220Computer Programming Fundamentals: Python3
CSCI 1235R Programming I3
I E 311Engineering Data Analysis3
I E 413Engineering Operations Research I3
I E 423Engineering Operations Research II3
E E 465Machine Learning I3
Second Language Requirement: (not required)
Electives, to bring the total credits to 120 435
12 credits must be Upper-Division
Total Credits120-121
1

MATH 1511G Calculus and Analytic Geometry I is required for the degree but students may need to take any prerequisites needed to enter MATH 1511G first.

2

See the General Education section of the catalog for a full list of courses.

3

See the Viewing a Wider World section of the catalog for a full list of courses.

4

Elective credit may vary based on prerequisites, dual credit, AP credit, double majors, and/or minor coursework. The amount indicated in the requirements list is the amount needed to bring the total to 120 credits and may appear in variable form based on the degree. However students may end up needing to complete more or less on a case-by-case basis and students should discuss elective requirements with their advisor.

Second Language Requirement

For the Bachelor of Science with a major in Mathematics with a Concentration in Statistics for Data Science, there is no second language requirement for the degree.

A Suggested Plan of Study for Students

This roadmap assumes student  placement in MATH 1511G Calculus and Analytic Geometry I and ENGL 1110G Composition I. The contents and order of this roadmap may vary depending on initial student placement in mathematics and english. It is only a suggested plan of study for students and is not intended as a contract. Course availability may vary from fall to spring semester and may be subject to modification or change.

Some students may be able to bypass one or more courses in the calculus sequence MATH 1511G - MATH 1521G - MATH 2530G. The calculus sequence and Linear Algebra provide knowledge that is basic to further work, and students are advised to complete them or their equivalent as early as possible.

Plan of Study Grid
First Year
FallCredits
MiniSemester 1  
ENGL 1110G Composition I 4
MATH 1511G Calculus and Analytic Geometry I 1 4
MiniSemester 2  
CSCI 1220 Computer Programming Fundamentals: Python 3
Area III: Lab Science 2 4
 Credits15
Spring
MiniSemester 1  
ENGL 2210G Professional and Technical Communication 3
MATH 1521G Calculus and Analytic Geometry II 4
MiniSemester 2  
Area III/IV: Lab Science OR Social/Behavioral Science 2 3-4
CSCI 1235 R Programming I 3
Elective 3 2
 Credits15-16
Second Year
Fall
MiniSemester 1  
COMM 1115G Introduction to Communication 3
MATH 2530G Calculus III 3
Area VI: Creative and Fine Arts Course 2 3
MiniSemester 2  
MATH 1350G Introduction to Statistics 3
Area V: Humanities Course 2 3
 Credits15
Spring
MiniSemester 1  
VWW Course 4 3
Elective 3 3
MiniSemester 2  
MATH 2415 Introduction to Linear Algebra 3
I E 311 Engineering Data Analysis 3
Elective 3 3
 Credits15
Third Year
Fall
MiniSemester 1  
Area IV: Social/Behavioral Science Course 2 3
STAT 3110 Statistics for Engineers and Scientists 3
Elective 3 3
MiniSemester 2  
VWW Course 4 3
Upper Division Elective 3 3
 Credits15
Spring
MiniSemester 1  
MATH 4230 Applied Linear Algebra 3
Upper Division Elective 3 3
MiniSemester 2  
I E 413 Engineering Operations Research I 3
MATH 3160 Introduction to Ordinary Differential Equations 3
Elective 3 3
 Credits15
Fourth Year
Fall
MiniSemester 1  
I E 423 Engineering Operations Research II 3
MATH 3140 Introduction to Numerical Methods 3
MiniSemester 2  
Elective 3 3
STAT 4210 Probability: Theory and Applications 3
Upper Division Elective 3 3
 Credits15
Spring
MiniSemester 1  
STAT 4220 Statistics: Theory and Applications 3
E E 465 Machine Learning I 3
MiniSemester 2  
Electives 3 6
Upper Division Electives 3 3
 Credits15
 Total Credits120-121
1

MATH 1511G Calculus and Analytic Geometry I is required for the degree but students may need to take any prerequisites needed to enter MATH 1511G first.

2

See the General Education section of the catalog for a full list of courses.

3

Elective credit may vary based on prerequisites, dual credit, AP credit, double majors, and/or minor coursework. The amount indicated in the requirements list is the amount needed to bring the total to 120 credits and may appear in variable form based on the degree. However students may end up needing to complete more or less on a case-by-case basis and students should discuss elective requirements with their advisor.

4

See the Viewing a Wider World section of the catalog for a full list of courses.