Minors and Certificates in Mathematics
The Department of Mathematics and Statistics offers one undergraduate minor, one undergraduate certificate, and one graduate certificate.
Minor in Applied Mathematics
The minor in applied mathematics consists of the completion of 11 credit hours of prerequisite courses (MATH 131, MATH 132, and MATH 224) and the successful completion of 12 credit hours of required courses (MATH 240, MATH 340, MATH 365, and STAT 324) with an average GPA of 2.0. None of these twelve (12) credit hours of required coursework can be included in the minor seeker's baccalaureate degree plan of study.
Prerequisite to the Applied Mathematics Minor (11 Credit Hours):
Students must complete the following courses, with a grade of “C” or better.
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MATH 131 - Calculus I 4 Credit(s)
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MATH 224 - Introduction to Probability and Statistics 3 Credit(s)
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MATH 132 - Calculus II 4 Credit(s)
Required Course (12 Credit Hours):
Students in the applied mathematics minor program are required to take the following four MATH and STAT courses.
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MATH 240 - Introduction to Scientific Programming for Mathematics Majors 3 Credit(s)
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MATH 340 - Numerical Methods (formerly MATH 440) 3 Credit(s)
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MATH 365 - Introduction to Data Science Credit(s)
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STAT 324 - Statistical Methods for Data Analysis 3 Credit(s)
All minor applications must be approved by the Department of Mathematics and Statistics.
Undergraduate Certificate in Data Science and Analytics
A student seeking the Undergraduate Certificate in Data Science and Analytics must complete a minimum of 15 credit hour course work in data science and analytics related undergraduate courses, including
Two DSA Core Courses (6 Credit Hours):
- STAT 324 - Statistical Methods for Data Analysis 3 Credit(s)
- MATH 365 - Introduction to Data Science 3 Credit(s) or
- COMP 365 - Artificial Intelligence and Machine Learning 3 Credit(s)
Two DSA Electives (6 Credit Hours) from STAT, BIOL, COMP, CST, ISEN, BUAN, or PHYS courses;
and
A DSA Infused Capstone Project: (3 credit hours, or up to 6 credit hours for those who are required to take a two-semester capstone or senior project course sequence to complete their capstone/senior projects).
Graduate Certificate in Data Analytics
Certificate Requirements
- Total Credit Hours: 12
- Core courses (6 credits)
- Technical Electives (6 credits)
Core courses
COURSE 1
STAT 707 Introduction to Data Science (3) OR
CSE 704 Data Processing and Visualization (3)
COURSE 2
CSE 708 Application of Data Analytics and Engineering (3) OR
STAT 708 Linear Models for Data Science (3)
Electives (choose two)
BUAN/MGMT 725 Business Analytics (3)
BUAN/MGMT 740 Data Analysis & Business Intelligence Application (3)
CSE 701 Applied Probability and Statistics (3)
CSE 801 Computational Statistics (3)
CSE 805 Machine Learning and Data Mining (3)
CSE 817 Fundamentals of Big Data Analysis (3)
ISEN 685/ISEN 662 Special Topics: Programming for Data Analysis (1)
ISEN 821 Multivariate Statistics for Engineers (3)
ISEN 885/ISEN 862 Special Topics: Data Preparation, Visualization and Analytics for Societal Impact (3)
ISEN 885/ISEN 863 Special Topics: Data Analytics Practicum (3)
MATH 690 Scientific Programming for Mathematical Science (3)
MATH 782 Statistical Data Analytics and Visualization (3)
STAT 710 Statistical and Deep Learning (3)
STAT 711 Statistical Computing and Algorithm Analysis (3)
STAT 823 Time Series and Business Analytics (3)
STAT 824 Biostatistics and Health Analytics (3)