Minor in Data Analytics

The target audience for this minor are students who are interested in learning from data but may have little or no data analysis background.  It requires no prior experience with statistics, computing, or data analysis.  Students completing this minor will gain significant experience with working with data to prepare for analysis, drawing conclusions from data, and communicating conclusions.

Note: This minor has no prerequisites, is analytically focused, has fairly specific requirements, and allows electives from a range of departments.  The elective list is expected to grow as more suitable courses are developed in the College.

Prerequisites: None

Required Courses

1.  Introduction to data analysis and computing

  • STAT 1601: Introduction to Data Science with R OR
  • STAT 1602: Introduction to Data Science with Python

2.  Statistical linear models:                                                                                                      

  • STAT 3220: Introduction to Regression Analysis OR
  • ECON 3720: Introduction to Econometrics

3.  Data visualization and management:

  • STAT 3280: Data Visualization and Management  OR
  • STAT 4260 AND STAT 4310

4.  Data Analytics:

  • STAT 4220: Applied Analytics for Business  OR
  • STAT 4630: Statistical Machine Learning

5.  One Approved Elective: 

Approved Electives (other courses will be added as appropriate)

  • STAT 3080: From Data to Knowledge
  • STAT 3120: Mathematical Statistics
  • STAT 3130: Sample Surveys
  • STAT 3240: Programming in Matlab/Mathematica
  • STAT 3250: Data Analysis with Python
  • STAT 3430: Statistical Computing with SAS/R
  • STAT 3480: Nonparametric and Rank-Based Statistics
  • STAT 4130: Multivariate Statistics
  • STAT 4440: Bayesian Statistical Analysis
  • STAT 4800: Advanced Sports Analytics I
  • STAT 4160: Experimental Design
  • STAT 4170: Financial Times Series and Forecasting
  • STAT 4210: Big Data Tools
  • STAT 4220: Applied Analytics for Business
  • STAT 4260: Databases
  • STAT 4310: Data Visualization and Presentation
  • STAT 4630: Statistical Machine Learning
  • STAT 4996: Capstone
  • ASTR 4140: Research Methods in Astrophysics
  • BIOL 4230: Bioinformatics and Functional Genomics
  • ECON 4710: Economic Forecasting
  • ECON 4720: Econometric Methods

 

 

 

updated May 24, 2021

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