• 2023 Putnam Competition Result

    We very excited to report that our Putnam team ranked 8th, honorable mention, among 471 institutions in the 2023 Putnam math competition.Our team members this year were Vincent Trang, Daniel Yuan, Omar Habibullah, and Andrew Parker.Vincent Trang ranked 43rd and Daniel Yuan ranked 64th among 3,857 participants. Read More
  • Simons Fellows - Darvas, Kanigowski, Rubinstein

    Congratulations to Tamas Darvas, Adam Kanigowski, and Yanir Rubinstein for being named Simons Fellows. Read More
  • Doron Levy is elected 2024 Class of Fellows of the AMS

    Congratulations to Dr. Doron Levy, as Fellow of the American Mathematical Society, Class of 2024 (https://www.ams.org/cgi-bin/fellows/fellows_by_year.cgi)!  Dr. Levy was elected  ``For his contributions to Mathematical Oncology and Mathematical Biology".  Read More
  • Scott Wolpert to lead NSF-funded project on DEI in mathematics and statistics

    Congratulations to Scott Wolpert, professor emeritus of mathematics, who was named principal investigator of a new project to improve diversity, equity and inclusion in mathematics departments. The project is funded by a $600,000 grant from the NSF, and it will provide DEI training to six representatives of math and statistics departments Read More
  • Abba Gumel Featured in Scientific American Article

    Congratulations to Abba Gumel being featured in a new Scientific American Article. The title is “How Mathematics Can Predict and Help Prevent the Next Pandemic” (link to the article). What a great advertisement to Maryland. It is a great honor to have Abba as our colleagues.   Congratulations Abba! Read More
  • 1
  • 2
  • 3
  • 4
  • 5


STAT 430 will introduce modern techniques of computational statistics for practical analysis of data. The course will utilize the SAS software system, which is widely used both in statistical applications and in corporate data management applications. Data analysis and interpretation will be emphasized, rather than statistical theory. At every point in the course real world data sets will be used to illustrate statistical principles.

For undergraduates in mathematics or computer science seeking statistical employment after graduation, SAS is a valuable job credential. For graduate students in fields which use statistics heavily, such as agriculture, life science, education, engineering or social science, SAS is a powerful aid to research.  Graduate students who have successfully taken an applied statistics course in their own department should have no difficulty with STAT 430.


1 course with a minimum grade of C- from (STAT400, STAT410).

co-requisite starting Spring 2023 1 course with a minimum grade of C- from (STAT401, STAT420).

Level of Rigor


Sample Textbooks

Applied Statistics and the SAS Programming Language, by R.P. Cody and J.K. Smith

The Little SAS Book: A Primer, by L. Delwiche & S. Slaughter


If you like this course, you might also consider the following courses

Additional Notes

Students interested in grad school in STAT should consider this course 


Brief review of statistical concepts

Descriptive statistics

Points estimators

Confidence intervals

Hypothesis testing

Introduction to the SAS software system

Data screening

Data summaries and graphics

Creating and manipulating data sets

Merging, sorting and splitting data sets

Least squares and fitting models

Straight line fits

Graphical tools for model criticism

Multiple predictors

Categorical predictors and analysis of variance

Categorical data

Frequency tables

Logistic regression

Models for count data


  • 1
  • 2