Program Curriculum
| Code | Title | Credits |
|---|---|---|
| Degree Core Requirements | ||
| STAT Required Courses | ||
| STAT3006 | Statistical Methods 1 | 3 |
| STAT3104 | Probability and Distributions 1 | 3 |
| STAT/CMDA/CS 3654 | Introductory Data Analytics and Visualization 1 | 3 |
| STAT4004 | Methods of Statistical Computing 1 | 3 |
| STAT4024 | Communication in Statistical Collaborations 1 | 3 |
| STAT4105 | Theoretical Statistics 1 | 3 |
| STAT4106 | Theoretical Statistics 1 | 3 |
| STAT4204 | Experimental Designs 1 | 3 |
| STAT4214 | Methods of Regression Analysis 1 | 3 |
| STAT4444 | Applied Bayesian Statistics 1 | 3 |
| STAT4584 | Advanced Calculus for Statistics 1 | 3 |
| orMATH3224 | Advanced Calculus | |
| Mathematics Required Courses | ||
| MATH2204 | Introduction to Multivariable Calculus 1 | 3 |
| MATH2114 | Introduction to Linear Algebra 1 | 3 |
| Computer Science Required Courses | ||
| CS1064 | Introduction to Programming in Python 2 | 3 |
| orCS1114 | Introduction to Software Design | |
| Subtotal | 42 | |
| Restricted Electives | ||
| Select three of the following (at least one must be STAT) | 9 | |
STAT3094 | SAS Programming 1 | |
STAT3204 | Data Visualization 1 | |
STAT3504 | Nonparametric Statistics 1 | |
STAT4364 | Introduction to Statistical Genomics 1 | |
STAT4504 | Applied Multivariate Analysis 1 | |
STAT4514 | Introduction to Categorical Data Analysis 1 | |
STAT4524 | Sample Survey Methods 1 | |
STAT4534 | Applied Statistical Time Series Analysis 1 | |
STAT/CMDA/CS 4654 | Intermediate Data Analytics and Machine Learning 1 | |
STAT4664 | Computational Intensive Stochastic Modleing 1 | |
STAT4804 | Elementary Econometrics 1,3 | |
STAT4964 | Field Study 1,4 | |
orSTAT4994 | Undergraduate Research | |
BIT3424 | Introduction to Business Analytics Modeling 1,5,6 | |
BIT3434 | Advanced Modeling for Business Analytics 1,5,6 | |
BIT4544 | Advanced Methods in Business Analytics 1 | |
CS4234 | Parallel Computation 1,5 | |
ECE4424 | Machine Learning 1 | |
MATH3054 | Programming for Mathematical Problem Solving 1,5 | |
MATH4454 | Applied Mathematical Modeling 1,5 | |
MATH4225 | Elementary Real Analysis 1,5 | |
ISE4404 | Statistical Quality Control 1,5 | |
GEOG4314 | Spatial Analysis in Geographic Information Systems 1,5 | |
GEOG4354 | Introduction to Remote Sensing 5 | |
| Subtotal | 9 | |
| Free Electives | ||
| Select remaining credits required for the degree: | 22 | |
| Subtotal | 22 | |
| Pathways to General Education | ||
| Pathways Concept 1 - Discourse | ||
| ENGL1105 | First-Year Writing (1F) | 3 |
| ENGL1106 | First-Year Writing (1F) 1 | 3 |
| ENGL3764 | Technical Writing (1F) 1 | 3 |
| Pathways Concept 2 - Critical Thinking in the Humanities | ||
| Select six credits in Pathway 2 | 6 | |
| Pathways Concept 3 - Reasoning in the Social Sciences | ||
| Select six credits in Pathway 3 | 6 | |
| Pathways Concept 4 - Reasoning in the Natural Sciences | ||
| Select six credits in Pathway 4 | 6 | |
| Pathways Concept 5 - Quantitative and Computational Thinking | ||
| MATH1225 &MATH1226 | Calculus of a Single Variable and Calculus of a Single Variable (required of all students majoring in Statistics; 5F) 1,7 | 8 |
| STAT3005 | Statistical Methods (required of all students majoring in Statistics; 5F) 1 | 3 |
| Pathways Concept 6 - Critique and Practice in Design and the Arts | ||
| Select 6 credits = 3 in design + 3 in arts, or 6 in integrated design and arts) | 6 | |
| Pathways Concept 7 - Critical Analysis of Identity and Equity in the United States | ||
| Select three credits in Pathway 7 | 3 | |
| Subtotal | 47 | |
| Total Credits | 120 | |
- 1
Some courses listed on this checksheet may have prerequisites; please consult the Undergraduate Course Catalog or check with your advisor for more information.
- 2
For Economic majors or minors, ECON4304 Introduction to Econometric Methods can substitute for STAT4804 Elementary Econometrics.
- 3
A maximum of 3 credits from either STAT4964 Field Study (for internships or other summer experience), or STAT4994 Undergraduate Research may count as a Statistic elective with prior approval from the department.
- 4
An upper-level course that is not offered by the Department of Statistics. Be aware of all prerequisites.
- 5
Be aware that priority enrollment is given to BIT majors.
All students completing a B.S. in Statistics must complete STAT3005 Statistical Methods Statistical Methods. This requirement is included in Pathways to General Education above.
All students completing a B.S. in Statistics must complete MATH1225 Calculus of a Single Variable-MATH1226 Calculus of a Single Variable. These courses are listed in Pathways to General Education above.
Prerequisites
Some courses listed on this checksheet may have prerequisites; please consult the Undergraduate Course Catalog or check with your advisor for more information.
Foreign Language Requirement
Complete an 1105-1106 foreign language (e.g., FR, GR, SPAN) grouping or the equivalent.
Course Substitutions
CMDA2005 Integrated Quantitative Sciences-CMDA2006 Integrated Quantitative Sciences is equivalent to all the following: STAT3005 Statistical Methods and STAT3006 Statistical Methods and STAT3104 Probability and Distributions and MATH2214 Introduction to Differential Equations and (MATH2204 Introduction to Multivariable Calculus or MATH2204H Introduction to Multivariable Calculus orMATH2406H Mathematics in a Computational Context
Satisfactory Progress Towards Degree and Minimum Grade Requirements
- Within the first two attempts, including attempts ending in course withdrawal, students must earn a C- or better in all MATH, STAT, or CS designated courses for the degree (or equivalents thereof).
- It is recommended that, upon attempting 72 credit hours, students will have completed STAT3005 Statistical Methods, MATH1225 Calculus of a Single Variable, MATH1226 Calculus of a Single Variable, MATH2114 Introduction to Linear Algebra, MATH2204 Introduction to Multivariable Calculus, and CS1064 Introduction to Programming in Python or CS1114 Introduction to Software Design.
- Upon having attempted 90 semester credits, students must have an in-major GPA of 2.0 or better.
Graduation Requirements
Virginia Tech requires 120 credit hours to graduate with a GPA of 2.0 or greater for all hours attempted. The 120 credit hours must include all required courses for the statistic major as outlined in this check-sheet. In addition, students must have an in-major GPA of 2.0 or greater. For purposes of GPA computation, coursesin-major will include core requirements, major requirements, and restricted electives. If 120 credit hours are reached and a student does not meet the GPA requirement, the student must take additional in-major courses to raise the in-major GPA to a 2.0.
