Data Science
Requirements
Description
See your current field of study through a new lens. By becoming adept with specific data science skills, 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)
DAT 300 Mathematical Tools for Data Science (3)
DAT 301 Exploring Data in R and Python (4)
DAT 401 Statistical Modeling and Inference for Data Science (3)
DAT 402 Statistical Learning (3)
MAT 265 Calculus for Engineers I (MA) OR MAT 270: Calculus with Analytic Geometry I (MA) (3-4)
MAT 266 Calculus for Engineers II (MA) OR MAT 271: Calculus with Analytic Geometry II (MA) (3-4)
MAT 343 Applied Linear Algebra (3)
Prerequisite courses may be needed in order to complete the requirements of this concentration.
YEAR
CAMPUS
ADVISING
Interdisciplinary Studies Advising
cisa.asu.edu/advising
All appointments:
480-965-4464
Downtown Phoenix
Arizona Center, Suite 380
Polytechnic
Santa Catalina Hall
Tempe
Urban Systems Engineering
Online
480-965-4464
DARS CODE
COLLEGE/SCHOOL
CONCENTRATION CONTACT
School of Mathematical and Statistical Sciences | WXLR 216
Math@asu.edu
480-965-7195