The University of Texas Rio Grande Valley

Statistics, Bachelor of Science

Statistics is the discipline that educates a human being about Data. Data arise in all academic disciplines as well as in all real life situations. Experts in education, health profession, business and industry need the help of statistics for better understanding of their own subjects. Using a statistical software package, any layman can generate tables and graphs. But statistical software does not provide the intellectual capability to decide how a sample has to be collected, or how a sample can be made representative. This can be achieved through expertise in statistics. A BS Degree in statistics can provide a person with all these knowledge and understanding and also more importantly a lucrative career due to the growing needs of dealing with Big Data in astronomical, medical and various biological fields. 

Core Curriculum - 42 Hours

The Core Curriculum serves as a broad foundation for the undergraduate degree. All candidates for a bachelor’s degree must achieve core student learning outcomes, including communication, critical thinking, empirical and quantitative skills, teamwork, personal responsibility and social responsibility, by completing courses within each category or component area of the Core Curriculum as outlined below.

The University has approved specific courses that satisfy Core Curriculum Requirements. Approved courses can be found on the Core Curriculum Page. Students seeking the most efficient way to complete the core curriculum and major or minor requirements are advised to take approved courses that can fulfill both requirements. Although core curriculum courses can also be used to fulfill major or minor requirements, earned credits hours are only applied once. The courses listed below fulfill core curriculum and major requirements. Students who have completed a core curriculum category with courses other than those listed below will still be required to take the listed course(s) to meet major requirements.

020 Mathematics – 3 hours

Choose from:
MATH 1342Elementary Statistical Methods

3

MATH 1343Introduction to Biostatistics

3

030 Life and Physical Sciences – 6 hours

Choose one pair from:

PHYS 2425Physics for Scientists and Engineers I

4

PHYS 2426Physics for Scientists and Engineers II

4

Or

BIOL 1406General Biology I

4

BIOL 1407General Biology II

4

080 Social and Behavioral Sciences – 3 hours

Choose from:
ECON 1301Introduction to Economics

3

ECON 2301Principles of Macroeconomics

3

090 Integrative and Experiential Learning – 6 hours

Required

CSCI 1380Computer Science I

3

Choose one pair from

PHYS 2425Physics for Scientists and Engineers I

4

PHYS 2426Physics for Scientists and Engineers II

4

Or

BIOL 1406General Biology I

4

BIOL 1407General Biology II

4

One credit hour from Life and Physical Science course applies for a total of two credits.

Major Requirements – 60 Hours

Required Courses - 39 hours

MATH 2413Calculus I

4

MATH 2414Calculus II

4

MATH 2415Calculus III

4

MATH 2318Linear Algebra

3

STAT 2336Statistical Computing and Data Management

3

STAT 3301Applied Statistics

3

STAT 3335Applied Regression Analysis

3

STAT 3336Sampling

3

STAT 3337Probability and Statistics

3

STAT 3338Mathematical Statistics

3

STAT 4332Experimental Design and Analysis

3

STAT 4390Statistics Project

3

Prescribed Electives - 21 hours

Advanced Math Electives - 9 hours

MATH 3341Differential Equations

3

MATH 3345Linear Optimization

3

MATH 3350Introduction to Mathematical Proof

3

MATH 3361Applied Discrete Mathematics

3

MATH 3372Real Analysis I

3

MATH 3382Actuarial Probability Models

3

MATH 3383Actuarial Statistical Estimates

3

MATH 3385Theory of Interest

3

MATH 3386Actuarial Financial Mathematics

3

MATH 3399Special Topics in Mathematics

3

MATH 4342Complex Variables

3

Advanced Statistic Electives-12 hours

STAT 3351Multivariate Analysis

3

STAT 3352Introduction to Linear Models

3

STAT 4341Introduction to Stochastic Processes

3

STAT 4342Time Series Analysis

3

STAT 4345Introduction to Simulation

3

STAT 4346Introduction to Bayesian Inference

3

STAT 4347Nonparametric Statistics

3

STAT 4351Categorical Data Analysis

3

STAT 4352Survival Analysis

3

STAT 4392Statistical Consulting

3

STAT 4399Special Topics in Statistics

3

Note: Courses like Introduction to Bioinformatics, Environmental and Spatial Statistics, Statistical Data Mining and Machine Learning, Big Data Analytics, Structural Bioinformatics could be some recommended courses for Special Topics in Statistics.

Free Electives – 18 Hours

Free electives credit hours required may vary to achieve the institutional minimum of 120 hours for a degree.

Total Credit Hours: 42

Total Credit Hours: 120

Major Graduation Requirements

Specific graduation requirements required for this program beyond university bachelor’s degree requirements. 

Major requirements must be completed with a minimum grade of ‘C’ and a minimum GPA of 2.5.