Statistics and Data Science Major

The major in Statistics and Data Science consists of ten courses. No course may be counted for more than one of the three areas below.

Requirements

Core Courses

Students must complete each of the following seven courses:

MAT 113	CALC C: INTEGRALS AND SERIES	4
	or
MAT 212	MULTIVARIABLE CALCULUS	4
MAT 226	LINEAR ALGEBRA	4
STA 207	ADVANCED REGRESSION TECHNIQ	4
STA 234	STATISTICAL COMPUTING WITH R	4
STA 315	PROBABILITY AND STAT MODELS	4
	or
MAT 316	PROBABILITY	4
STA 317	MATHEMATICAL STATISTICS	4
	or
STA 334	STATISTICAL CONSULTING	4
STA 336	STATISTICAL MACHINE LEARNING	4
	or
COM 307	MACHINE LEARN/DATA MINING	4

Electives

Students must complete one of the following courses:

COM 203/BIO 203	BIOINFORMATICS	4
ECO 304	ECONOMIC MODELING	4
ECO 354	ECONOMETRICS II	4
ECO 356	ECONOMETRICS AND CAUSALITY	4
MAT 212	MULTIVARIABLE CALCULUS	4
MAT 301	REAL ANALYSIS I	4
PSY 202	RESEARCH METH IN PSYCHOLOGY	4
PSY 407	ADV PSYCHOLOGICAL STATISTIC	4
STA 209	INTRO TO TIME SERIES ANALYSIS	4
STA 235/BIO 235	BIOLOGICAL STATISTICS	4
STA 317	MATHEMATICAL STATISTICS	4
STA 334	STATISTICAL CONSULTING	4

Application and Communication

Students must complete one of the following two-course sequences:

STA 334 STATISTICAL CONSULTING and STA 496 STATISTICAL RESEARCH

COM 495 RESEARCH SEMINAR/COM 496 RESEARCH SEMINAR and STA 496 STATISTICAL RESEARCH

Any approved course at the 300 level or higher, in statistics or another discipline, and STA 496 STATISTICAL RESEARCH

STA 497-498 HONORS STUDY

For the application and communication component of the major, students are encouraged to consider topics pertaining to their Integrative Pathway or Center Certificate Program. All students are strongly encouraged to participate in a summer internship or Research Experience for Undergraduates (REU), if possible. Students considering graduate study in statistics or in quantitative areas of other fields are strongly encouraged to complete MAT 301.