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.

Note: For a PDF version of the degree requirements for this program go to the Undergraduate Programs page on the UTRGV website. 

 

Core Curriculum - 42 Hours

Students must fulfill the Core Curriculum requirements. The courses listed below satisfy both degree requirements and Core Curriculum requirements.

Required

Mathematics – 3 hours

Choose from:
MATH 1342Elementary Statistical Methods

3

MATH 1343Introduction to Biostatistics

3

Integrative and Experiential Learning – 3 hours

CSCI 1380Computer Science I

3

Recommended

Life and Physical Sciences – 6 hours

Choose from:
ENVR 1401Introduction to Environmental Science I

4

 

ENVR 1402Introduction to Environmental Science II

4

Or

BIOL 1406General Biology I

4

 

BIOL 1407General Biology II

4

Social and Behavioral Sciences – 3 hours

Choose from:
ECON 1301Introduction to Economics

3

ECON 2301Principles of Macroeconomics

3

Integrative and Experiential Learning – 2 hours

Choose from:
ENVR 1401Introduction to Environmental Science I

4

 

ENVR 1402Introduction to Environmental Science II

4

Or

BIOL 1406General Biology I

4

 

BIOL 1407General Biology II

4

Major Requirements – 60 Hours (39 advanced)

Statistics Core – 39 hours (18 advanced)

Required

MATH 2413Calculus I

4

MATH 2414Calculus II

4

MATH 2415Calculus III

4

MATH 2318Linear Algebra

3

STAT 2331Essentials of Statistics

3

STAT 2336Statistical Computing and Data Management

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

Advanced Statistics Electives – 12 hours (12 advanced)

Choose 12 hours from the following:

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.

Advanced Math Electives – 9 hours (9 advanced)

Choose 9 hours from the following:

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 3383Actuarial Statistical Estimates

3

MATH 3385Theory of Interest

3

MATH 3386Actuarial Financial Mathematics

3

MATH 3399Special Topics in Mathematics

3

MATH 4342Complex Variables

3

Free Electives – 18 Hours (9 advanced)

Recommended

BIOL 3413Genetics

4

BIOL 3415Molecular Biology

4

CSCI 2380Computer Science II

3

CSCI 3310Mathematical Foundations of Computer Science

3

CSCI 3333Algorithms and Data Structures

3

CSCI 4333Database Design and Implementation

3

Total Credit Hours: 48

Total Credit Hours: 120

Admission, Progression, and Graduation Requirements, if applicable:

Progression Requirements

  1. The student must maintain an overall GPA of at least 2.25 at the end of the 90 credit hours that count towards the degree.

Graduation Requirements

  1. The student must complete all Statistics core course requirements with grades of ‘C’ or better.
  2. The student must have an overall GPA of 2.5 or better in section B – Major Requirements.