STAT 1220Elements of Statistics I (BUSN)3
or STAT 1221 - Elements of Statistics I (3) or STAT 1222 - Introduction to Statistics (3)
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
University of North Carolina at Charlotte · Courses
STAT
55 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
STAT 1220LThe Academic Success Experience. (1) Co-requisite(s)
STAT 1220 and Permission of the course instructor or department. This corequisite companion course is designed for students enrolled in a foundational gateway course. It provides targeted academic support, a smaller peer learning community, and mentorship to help students 2026-2027 UNC CHARLOTTE UNDERGRADUATE CATALOG strengthen their understanding of course content and develop skills for long-term academic success.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 1221Elements of Statistics I3
or STAT 1222 - Introduction to Statistics (3) 2026-2027 UNC CHARLOTTE UNDERGRADUATE CATALOG
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 1222Introduction to Statistics (3) (fulfills Quantitative/Data19
requirement) Major Courses (39 credit hours) Core Courses
- Subject
- STAT
- Credits (min)
- 19
- Credits (max)
- 19
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 1322Introduction to Statistics II3
Note: Most undergraduates at UNC Charlotte major in programs that require mathematics or statistics as related work. For these students, 62 | Degree Requirements and Academic Policies the related mathematics requirements determine the courses taken to meet the General Education requirement. Students in majors that do not require related work in mathematics should consult with their advisor to determine which courses they should take. III. Critical Thinking Competency The critical thinking competency develops a student’s ability to identify and analyze problems, evidence, and solutions. CTCM 2530 serves as the foundational course for this competency. This course also builds on the foundation of the communication competency that was introduced in WRDS 1103 or WRDS 1104. Critical thinking and communication skills are recognized as core competencies for students earning a baccalaureate degree, regardless of major. While students continue to develop these skills in advanced courses in their major, the General Education program provides an important foundation. Therefore, all students must take CTCM 2530. Select the following:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 2122Introduction to Probability and Statistics3
Elective Courses in Other Disciplines (15 credit hours) Select 15 elective credit hours. Courses that count towards this requirement must have a discipline prefix other than ITSC, ITCS, or ITIS. This requirement can be fulfilled by pursuing a/an: • Minor • Second major • Honors program • Undergraduate certificate • Set of courses selected by the student that do not satisfy any other degree requirement College of Computing and Informatics | 185
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 2223Elements of Statistics II3
Elective Courses in Other Disciplines (15 credit hours) Select 15 elective credit hours. Courses that count towards this requirement must have a discipline prefix other than ITSC, ITCS, DTSC, ITIS, or ITAI. This requirement can be partially fulfilled by pursuing the following online cluster:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 30004999 – Statistics Elective
Unrestricted Elective Courses, Double Major and/or Minor to Complete Requirements for Graduation College of Engineering | 287
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3110Applied Regression3
Upper-level elective. Select one of the following:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3122Probability and Statistics I3
or STAT 3128 - Probability and Statistics for Engineers (3) One from the following:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3123Probability and Statistics II3
Concentration Courses (12 credit hours) Students majoring in Mathematics for Business must select one of the following concentrations: Concentration in Economics/Finance
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3126Applied Statistical Methods. (3) Prerequisite(s): MATH
3123 or permission of department. Regression analysis, time series analysis, and forecasting. Survival models and their estimation. Course Descriptions | 821
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3128Probability and Statistics for Engineers3
Elective Foundation Course (3 credit hours) Select one of the following:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3140Design of Experiments3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3150Time Series Analysis3
Capstone Project (3-6 credit hours) Students must complete a Senior Project capstone. Alternatively, students may complete 6 credit hours towards an Honors project. For more information on the Honors Program in Mathematics, visit the program's page.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3160Applied Multivariate Analysis3
Computing Core Courses (16 credit hours) 2026-2027 UNC CHARLOTTE UNDERGRADUATE CATALOG
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 3180Predictive Analytics3
Minor Total = 18 Credit Hours Undergraduate Certificate in Actuarial er Studies An actuary is a business professional who uses mathematical skills to aid in the design and pricing of insurance policies and pension programs. Actuaries are employed by insurance companies, 2026-2027 UNC CHARLOTTE UNDERGRADUATE CATALOG
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 4115Statistical Machine Learning3
Restricted Elective Courses (12 credit hours) Choose three from the following courses:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 4116Statistical Computing3
2026-2027 UNC CHARLOTTE UNDERGRADUATE CATALOG
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 4227Loss Models and Applications3
Capstone Project (3-6 credit hours) Students must complete a Senior Project capstone. Alternatively, students may complete 6 credit hours towards an Honors project. For more information on the Honors Program in Mathematics, visit the program's page. 566 | Klein College of Science
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 5110Applied Regression Analysis. (3) Prerequisite(s)
MATH 2164; and STAT 2122, STAT 3128, or equivalent; or permission of department. Theoretical and practical training in statistical modeling with particular emphasis on the application of linear regression and multivariate statistical analysis. The basic fundamentals and statistical inference techniques associated with regression models are introduced. Students also learn how to apply the statistical techniques to extract information from data generated in various application areas using statistical software. Topics include: linear regression, model adequacy checking and diagnostics, generalized linear regression, and multivariate statistical analysis.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 5123Applied Statistics I3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 5124Applied Statistics II3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 5227Loss Models and Applications3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 6108Probability and Statistics for Mathematics
Teachers. (3) Cross-listed Course(s): MATH 6108. Prerequisite(s): Admission into the M.S. in Mathematics with Concentration in Mathematics Education program. Topics from probability and statistics appropriate for mathematics teachers. Topics in probability include: discrete and continuous random variables, probability distributions, sums and functions of random variables, the law of large numbers, and the central limit theorem. Topics in statistics include: sample mean and variance, estimating distributions, correlation, regression, and hypothesis testing.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 6113Cross-Section and Time-Series Econometrics3
(3) Cross-listed Course(s): ECON 6113. Prerequisite(s): permission of department. Introduces the advanced study of the theory and application of statistics to economic problems. Topics include: derivation of the least-squares
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 6115Statistical Machine Learning with Big Data3
Concentration in Quantitative Risk Management In addition to the four Program Core courses, the following six courses are required for a M.S. in Financial Engineering and FinTech with a Concentration in
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 6127Introduction to Biostatistics3
Clinical Residency Courses (19 credit hours)
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 6228Short-Term Actuarial Mathematics3
Prerequisite(s): MATH 4228 or MATH 5228, or permission of the department. A preparatory course for Actuarial Exam STAM. It covers severity models, frequency models, aggregate models, coverage modifications, risk measures, construction and selection of parametric models, credibility, insurance and reinsurance coverages, pricing and reserving for short-term insurance coverages.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7027Topics in Statistics3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7116Theory of Statistics I3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7117Theory of Statistics II3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7122Advanced Statistics I3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7123Advanced Statistics II3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7127Linear Statistical Models3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7133Multivariate Analysis3
Note: Students who, because of their undergraduate work or other experience, can demonstrate sufficient knowledge of the material in one or more of the core courses may be exempted from taking a course or courses. Exemption from a course carries no credit towards the degree concentration. Elective Courses (9 credit hours) MATH/STAT or Applied Elective Courses Select two courses from an approved list. Examples include:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7135Statistical Computation3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7137Survival Analysis3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7139Time Series Analysis3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7490Industrial Internship. (0 to 6) Prerequisite(s)
Completion of 6 credit hours of MATH/STAT/OPRS graduate courses and permission of department. Full- or part-time academic year or summer internship in mathematics and/or statistics complementary to the student’s major course of study and designed to allow theoretical and course-based practical learning to be applied in a supervised industrial experience. Each student’s program must be approved by the department’s Graduate Program Director. Requires a mid-term report and a final report to be graded by the supervising faculty. Graded on a Pass/Unsatisfactory basis. May be repeated for credit up to 6 credit hours. Credit hours gained from the internship may not be counted toward the courses leading to advancement to candidacy.
- Subject
- STAT
- Type
- course
- Repeatable
- May be repeated for credit up to 6 credit hours.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7891Independent Study in Statistics. (1 to 3)
Prerequisite(s): Permission of department. Faculty-directed independent study of topics not provided by other course offerings and/or to examine, extend, and enrich extant knowledge in statistics through supervised individual study. May be repeated for credit with change of topic.
- Subject
- STAT
- Type
- course
- Repeatable
- May be repeated for credit with change of topic.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 7892Directed Project in Statistics (1 to 3)
duate Catalog 2026-2027
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8027Topics in Statistics3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8116Theory of Statistics I3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8117Theory of Statistics II3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8122Advanced Statistics I3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8123Advanced Statistics II3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8127Linear Statistical Models3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8133Multivariate Analysis3
Graduate Catalog 2026-2027
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8135Statistical Computation3
Restricted Elective Courses (6 credit hours) Students must complete two courses from the following MATH/STAT courses:
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8137Survival Analysis3
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8139Time Series Analysis3
Degree Total = 54 Credit Hours Degree Requirements, Statistics Concentration Students in the Ph.D. in Applied Mathematics with a Concentration in Statistics program must complete an approved program of study of 54 credit hours, including the following: Research and Ethics Courses Students should complete the following courses in the first year of their program.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8490Industrial Internship. (0 to 6) Prerequisite(s)
Completion of 6 credit hours of MATH/STAT/OPRS graduate courses and permission of department. Full- or part-time academic year or summer internship in mathematics and/or statistics complementary to the student’s major course of study and designed to allow theoretical and course-based practical learning to be applied in a supervised industrial experience. Each student’s program must be approved by the department’s Graduate Program Director. Requires a mid-term report and a final report to be graded by the supervising faculty. Graded on a Pass/Unsatisfactory basis. May be repeated for credit up to 6 credit hours. Credit hours gained from the internship may not be counted toward the courses leading to advancement to candidacy. uate Catalog 2026-2027
- Subject
- STAT
- Type
- course
- Repeatable
- May be repeated for credit up to 6 credit hours.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8891Independent Study in Statistics. (1 to 3)
Prerequisite(s): Permission of department. Faculty-directed independent study of topics not provided by other course offerings and/or to examine, extend, and enrich extant knowledge in statistics through supervised individual study. May be repeated for credit with change of topic.
- Subject
- STAT
- Type
- course
- Repeatable
- May be repeated for credit with change of topic.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
STAT 8892Directed Project in Statistics. (1 to 3)
Prerequisite(s): Permission of department. The directed independent project may be original work, work of an expository nature, or the mathematical/statistical formulation and solution of a particular problem of statistical significance. The project may also involve a specific application of techniques identified in the literature or studied in other courses. The project must be defended in an oral presentation. May be repeated for credit up to 9 credit hours. Teaching English as a Second
- Subject
- STAT
- Type
- course
- Repeatable
- May be repeated for credit up to 9 credit hours.
- Edition
- 2026-2027
- Source
- catalog.charlotte.edu
Source: University of North Carolina at Charlotte's catalog, linked per course · table learning_unit · CourseShelf publish 61