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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. An appropriate course at the same level or higher may be substituted with permission of the department.

MAT 113CALC C: INTEGRALS AND SERIES

4
MAT 226LINEAR ALGEBRA

4
STA 207ADVANCED REGRESSION TECHNIQ

4
STA 234STATISTICAL COMPUTING WITH R

4
STA 315PROBABILITY AND STAT MODELS

4
or
MAT 316PROBABILITY

4
STA 317MATHEMATICAL STATISTICS

4
STA 336STATISTICAL MACHINE LEARNING

4
or
COM 307MACHINE LEARN/DATA MINING

4

Electives

Students must complete one of the following courses:

COM 203/BIO 203BIOINFORMATICS

4
ECO 304ECONOMIC MODELING

4
ECO 354ECONOMETRICS II

4
ECO 356ECONOMETRICS AND CAUSALITY

4
MAT 212MULTIVARIABLE CALCULUS

4
MAT 230INTRODUCTION TO CRYPTOGRAPHY

4
MAT 301REAL ANALYSIS I

4
PSY 202RESEARCH METH IN PSYCHOLOGY

4
PSY 407ADV PSYCHOLOGICAL STATISTIC

4
STA 209INTRO TO TIME SERIES ANALYSIS

4
STA 235/BIO 235BIOLOGICAL STATISTICS

4
STA 236/MAT 235MATHEMATICAL MODELS IN BIOLOGY

4
STA 317MATHEMATICAL STATISTICS

4

Application and Communication

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

STA 334 STATISTICAL CONSULTING 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.