Data Science

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Data Science is an interdisciplinary program, which combines computational programming skills with analytical methods, including statistics and advanced presentation techniques, to analyze and interpret data.

General College requirements

General College Requirements (see Curriculum section), including the following requirements to satisfy the major

All requirements in a major study discipline

At least 6 courses approved for the Data Science minor, including the following required

Introductory courses:

MATH 151 - Calculus I Credit Hours: 4
DATA 101 - Introduction to Data Science 1 Credit Hours: 4
DATA 102 - Introduction to Data Science 2 Credit Hours: 4

Statistics Course:

Students must take one statistics course from the following list:

BIOL 311 - Biostatistics Credit Hours: 4
BIOL 313 - Computing For Biologists Credit Hours: 4
DATA 301 - Probability and Statistics 2 Credit Hours: 4
ECON 253 - Economic Statistics Credit Hours: 4
MATH 221 - Introduction to Statistics Credit Hours: 4
PHYS 312 - Advanced Physics Laboratory Credit Hours: 4
POSC 200 - Scope and Methods of Political Science Credit Hours: 4
PSYC 206 - Psychological Research, Analysis, and Writing II Credit Hours: 4
SOCI 201 - Social Statistics Credit Hours: 4

Elective Courses:

Eight credits chosen from a pre-approved list among various different disciplines. These courses are:

BADM 305 - Marketing Research Credit Hours: 4
BADM 350 - Budget Analysis and Forecasting Credit Hours: 4
COSC 460 - Advanced Data Science and Visualization Credit Hours: 4
DATA 382 - Upper-Level Data Science Transfer Course Credit Hours: 1-4
DATA 397 - Directed Research in Data Science Credit Hours: 1-4
DATA 398 - Off-Campus Internship Credit Hours: 1-4
DATA 399 - Data Science Independent Study Credit Hours: 1-4
DATA 181 - Lower-Level Data Science Transfer Course Credit Hours: 1-4
DATA 201 - Probability and Statistics 1 Credit Hours: 4
DATA 250 - Topics in Data Science Credit Hours: 4
DATA 307 - Student Assistantship Credit Hours: 2
DATA 310 - Data Visualization Credit Hours: 4
DATA 350 - Advanced Topics in Data Science Credit Hours: 4
ECON 342 - Analyzing Financial Data Credit Hours: 4
ECON 380 - Econometrics Credit Hours: 4
ENST 182 - Introduction to GIS Credit Hours: 4
ENST 222 - Environmental Data Analysis and Visualization Credit Hours: 4
ENST 382 - GIS Applications Credit Hours: 4
MRNE 222 - Environmental Data Analysis and Visualization Credit Hours: 4
POSC 315 - Policy Evaluation Credit Hours: 4