Statistics: Data Science

Statistics: Data Science

BS

Hours	52 Credit Hours
MAP	Major Academic Plan

Program Requirements

No more than three hours of credit below C- is allowed in major courses.

requirement 1 Complete 2 courses

STAT 121 - Principles of Statistics 3.0

STAT 130 - Introduction to the Department of Statistics 0.5

requirement 2 Complete 2 courses

Preparation core courses:

MATH 112 - Calculus 1 4.0

MATH 113 - Calculus 2 4.0

requirement 3 Complete 6 courses

Statistics core courses:

STAT 123 - Introduction to R Programming 1.5

STAT 223 - Applied R Programming 1.5

STAT 230 - Analysis of Variance 3.0

STAT 240 - Probability and Inference 1 3.0

STAT 330 - Introduction to Regression 3.0

STAT 340 - Probability and Inference 2 3.0

requirement 4 Complete 7 courses

C S 142 - Introduction to Computer Programming 3.0

C S 235 - Data Structures and Algorithms 3.0

STAT 125 - Introduction to Operating Systems, Linux/Unix, and Shell Programming 1.5

STAT 126 - Introduction to Python Programming 1.5

STAT 226 - SQL 1.5

STAT 420 - Big Data Science 1 3.0

STAT 421 - Big Data Science 2 3.0

requirement 5 Complete 6.0 hours from the following course(s)

STAT 124 - SAS Base Programming Skills 1.5

STAT 224 - Applied SAS Programming 1.5

STAT 234 - Methods of Survey Sampling 3.0

STAT 251 - Introduction to Bayesian Statistics 3.0

STAT 274 - Theory of Interest 3.0

STAT 377 - Statistical Models for Financial Economics 3.0

STAT 381 - Statistical Computing 3.0

STAT 426 - Data Science Methods and Applications in Statistics 3.0

STAT 435 - Nonparametric Statistical Methods 3.0

STAT 437 - Applications in Biostatistics 3.0

STAT 451 - Applied Bayesian Statistics 3.0

STAT 462 - Quality Control and Industrial Statistics 3.0

STAT 466 - Introduction to Reliability 3.0

STAT 469 - Analysis of Correlated Data 3.0

STAT 475 - Life Contingencies 3.0

STAT 477 - Statistical Distributions for Actuarial Modeling and Data Analytics 3.0

STAT 495R - Special Topics in Statistics 3.0v

You may take up to 3 credit hours.

STAT 496R - Academic Internship: Statistics 9.0v

You may take up to 3 credit hours.

STAT 497R - Introduction to Statistical Research 3.0v

You may take up to 3 credit hours.

STAT 531 - Experimental Design 3.0

STAT 538 - Survival Analysis 3.0

requirement 6 Complete 3.0 hours from the following course(s)

Courses taken in the requirement above will not double count here. No more than 3.0 credit hours of Stat 495R, Stat 496R, or Stat 497R may be counted toward this requirement.

IS 515 - Spreadsheets for Business Analysis 3.0

IS 520 - Business Programming and Spreadsheet Automation 3.0

MATH 213 - Elementary Linear Algebra 2.0

MATH 215 - Computational Linear Algebra 1.0

MATH 341 - Theory of Analysis 1 3.0

MATH 342 - Theory of Analysis 2 3.0

STAT 124 - SAS Base Programming Skills 1.5

STAT 224 - Applied SAS Programming 1.5

STAT 234 - Methods of Survey Sampling 3.0

STAT 251 - Introduction to Bayesian Statistics 3.0

STAT 274 - Theory of Interest 3.0

STAT 377 - Statistical Models for Financial Economics 3.0

STAT 381 - Statistical Computing 3.0

STAT 426 - Data Science Methods and Applications in Statistics 3.0

STAT 435 - Nonparametric Statistical Methods 3.0

STAT 437 - Applications in Biostatistics 3.0

STAT 451 - Applied Bayesian Statistics 3.0

STAT 462 - Quality Control and Industrial Statistics 3.0

STAT 466 - Introduction to Reliability 3.0

STAT 469 - Analysis of Correlated Data 3.0

STAT 475 - Life Contingencies 3.0

STAT 477 - Statistical Distributions for Actuarial Modeling and Data Analytics 3.0

STAT 495R - Special Topics in Statistics 3.0v

You may take up to 3 credit hours.

STAT 496R - Academic Internship: Statistics 9.0v

You may take up to 3 credit hours.

STAT 497R - Introduction to Statistical Research 3.0v

You may take up to 3 credit hours.

STAT 531 - Experimental Design 3.0

STAT 538 - Survival Analysis 3.0

Program Outcomes:

Please contact the individual department for outcome information.