Data Science

Description

See your current field of study through a new lens. By becoming a skilled producer, user and manipulator of data, you can make informed decisions about the world around you.

A concentration in data science provides students with skills in statistics, probability and coding in the context of large data sets. Students in this minor become useful consumers and producers of data. They understand and manipulate data sets to make conclusions and recommendations that can have an impact in real world settings.

Requirements

• Students must complete a minimum of 25 credit hours and at least 6 upper division hours taken with the College of Liberal Arts and Sciences.
•  A grade of C (2.00 on a 4.00 scale) or higher is required for all courses used toward the concentration.
• Incompatible concentrations: Mathematical Concepts of Engineering, Computational Mathematics, Mathematics, Statistics
• Additional prerequisites to required courses - MAT 267 or MAT 272 > STP 421 OR ACT 415 (ACT 201 with "B" or better required) 

Required Courses 25 credit hours

DAT 250 Data Science and Society (3) 
(Prerequisite(s): MAT 117, 119, 142, 170, 171, 265, or 270 with C or better)

DAT 300 Mathematical Tools for Data Science (3) 
(Prerequisite(s): MAT 266 or 271 with C or better; MAT 343 with C or better; Credit is allowed for only DAT 300 or STP 494 (Mathematical Tools for Data Science))

DAT 301 Exploring Data in R and Python (4) 
(Prerequisite(s): MAT 266 or 271 with C or better; MAT 343 with C or better; Credit is allowed for only DAT 301 or STP (Exploring Data in R and Python))

DAT 401 Statistical Modeling and Inference for Data Science (3) 
(Prerequisite(s): DAT 301 with C or better; Credit is allowed for DAT 401 or STP 494 (Statistical Modeling and Inference for Data Sci))

DAT 402 Statistical Learning (3) 
(Prerequisite(s): ACT 415 or STP 421; STP 420 or DAT 401; Credit is allowed for only DAT 402 or STP 494 (Machine Learning / Statistical Learning) or STP 598 (Machine Learning / Statistical Learning))

MAT 265 Calculus for Engineers I (MA) OR MAT 270: Calculus with Analytic Geometry I (MA) (3-4) 
(Prerequisite(s): MAT 170 or 171 with C or better OR ALEKS score of 76 or higher; Credit is allowed for only MAT 265 or MAT 270)

MAT 266 Calculus for Engineers II (MA) OR MAT 271: Calculus with Analytic Geometry II (MA) (3-4) 
(Prerequisite(s): MAT 265 or 270 with C or better; Credit is allowed for only MAT 266 or MAT 271)

MAT 343 Applied Linear Algebra (3) 
(Prerequisite(s): MAT 266 or 271 with C or better; Credit is allowed for only MAT 342 or MAT 343)

Incompatible Concentrations: All concentrations in the School of Mathematical and Statistical Sciences including the concentrations listed above.