Undergraduate Certificate in Data Science:
The goals of the Data Science Certificate program are achieved by completing three foundational courses followed by an advanced domain-specific course and a mini-capstone course.
Students must take 4 courses (14 to 16 credits) which include a 1-credit mini-capstone for skills demonstration for the successful completion of the Certificate in Data Science.
Students must maintain a G.P.A. of 2.0 in the courses applied to the certificate. No courses with a grade of D can be counted toward the certificate.
Data Science Undergraduate Certificate Requirements:
01:198:142/01:960:142 Data 101: Data Literacy
01:960:291 Statistical Inference for Data Science or one of the following equivalents:
01:960:212 Statistics II
01:960:384 Intermediate Statistical Analysis
33:136:385 Statistical Methods in Business
One of the following Data Management courses:
01:198:210 Data Management for Data Science
01:960:295 Data Management and Wrangling with R
04:547:221 Fundamentals of Data Curation and Management
One of the following domain courses:
01:198:439 - Introduction to Data Science
01:220:322 Econometrics
01:359:207 Data and Culture
01:447:303 Computational Genetics of Big Data
01:450:320 Spatial Data Analysis
01:450:321 Geographic Information Systems
01:450:330 Geographical Research Method
01:750:345 Computational Astrophysics
01:790:391 Data Science for Political Science
01:920:360 Computational Social Science
01:960:365 Introduction to Bayesian Data Analysis
01:960:463 Regression Methods
01:960:486 Applied Statistical Learning
04:189:220 Data in Context
04:547:321 Information Visualization
11:126:486. Functional Genomics for Research
14:332:443 Machine Learning for Engineers
One of the following Capstone Courses:
01:198:310 Data Science Capstone Project
01:220:323 Data Science and Econometrics
