Statistical Computing and Data Science

The statistical computing and data science track emphasizes statistical applications and requires additional course work in computing. It prepares students for statistical work that requires computing expertise for data management, analysis, and reporting.

In addition to satisfying the common requirements for all statistics majors, students in the Statistical Computing and Data Science track must complete the following three courses:

  • STAT:5810 / BIOS:5310 / IGPI:5310 Research Data Management
  • CS:2210  Discrete Structures (3 s.h.)
  • CS:2230  Computer Science II: Data Structures (4 s.h.)

And two of these:

  • STAT:4520 / IGPI:4522 /PSQF:4520  Bayesian Statistics (3 s.h.)
  • STAT:4540  / IGPI:4540 Statistical Learning (3 s.h.)
  • STAT:4580 / IGPI:4580  Data Visualization and Data Technologies (3 s.h.)
  • STAT:4740 / CS:4740 / IGPI:4740 / MATH:4740 Large Data Analysis (3 s.h.)
  • STAT:5400 / IGPI:5400 Computing in Statistics (3 s.h.)
  • STAT:6220  Statistical Consulting (3 s.h.)
  • STAT:6530 / IGPI:6530 Environmental and Spatial Statistics (3 s.h.)
  • STAT:6550 / BIOS:6310 / IGPI:6310  Introductory Longitudinal Data Analysis (3 s.h.)
  • STAT:6560  Applied Time Series Analysis (3 s.h.)
  • CS:3700 / MATH:3800 Elementary Numerical Analysis (3 s.h.)

NOTE: BIOS:5120 Design & Analysis of Biomedical Studies does not count as a statistical elective for the major.

Here is a sample schedule for completing the B.S. degree requirements for Statistics (Statistical Computing track).

Year Fall Semester Spring Semester
1 MATH:1860 Calculus I
CS:1210 Computer Science I
MATH:1860 Calculus II
STAT:2010 Statistical Methods and Computing
2 CS:2210 Discrete Structures
STAT:3100 Introduction to Mathematical Statistics I
CS:2230 Computer Science II: Data Structures

MATH:2850 Calculus III

MATH:2700 Introduction to Linear Algebra
STAT:3101 Introduction to Mathematical Statistics II

3 STAT:3200 Applied Linear Regression
BIOS:5310 / STAT:5810 Research Data Management
STAT:3210 Experimental Design and Analysis
4 STAT:4520 Bayesian Statistics
STAT:4540 Statistical Learning
STAT:4580 Data Visualization and Data Technologies

Print Sample Schedule   Flowchart