I. Core Courses (32 credits)

• MATH 200 - Topics in Single and Multivariable Calculus  OR  MATH 250 - Calculus and Analytic Geometry III   

• Note: Students who want to apply statistics to other disciplines are advised to take MATH 200  while those who wish to pursue postgraduate work in statistics or data science are advised to take MATH 150 , MATH 151 , and MATH 250 .

• STAT 120 - Statistical Computing in R
• STAT 207 - Introduction to Statistics
• MATH 220 - Discrete Mathematics
• MATH 320 - Probability
• STAT 335 - Applied Regression Analysis
• STAT 350 - Statistical Theory
• STAT 400 - Statistical Machine Learning

II. Four Intermediate or Upper-Level Courses (16 credits)

Choose 4 from the below courses, at least 3 of which should be from MATH, STAT, DATA, or CSCI: 

• DATA 251 - Data Visualization
• DATA 252 - Modeling and Simulation
• DATA 253 - Applied Data Analysis
• STAT 220 - Special Topics in Statistics
• STAT 227 - Intermediate Statistics
• STAT 230 - Sports Statistics
• STAT 260 - Text Mining
• STAT 370 - Bayesian Statistics
• CSCI 330 - Databases & Information Management
• MATH 303 - Linear Algebra

•  

  At most, one applied course from another discipline that uses statistics with a STAT 207  prerequisite may be counted in this section, such as: 

• ECON 303 - Economic Methodology And Introductory Econometrics
• NEUR 210 - Neuroscience Research Methods
• PH 340 - Epidemiology
• PH 341 - Research Methods in Population Health
• PSYC 211 - Research Methods in Psychology
• SOC 210 - Sociological Research Methods