• Overview
  • How to Apply
  • Course Requirements
  • FAQs
  • Contact


The Certificate in Applied Statistical Modeling equips undergraduate students with the tools necessary to understand how to apply statistics to their primary field of study. This certificate program is designed to complement diverse degree programs and to appeal to students across the University in engineering, science, economics, mathematics, and many other disciplines. Certificate students will fulfill a two-course sequence on statistical modeling, a two-course sequence on probability and inference, and complete two elective courses (six hours) in statistics, machine learning, econometrics, etc. from the approved elective list. Three elective hours must be upper-division, and only one introductory statistics course may count towards the elective requirement. 

Students must complete 18 semester hours of courses as follows in "Course Requirements."

How to Apply

Download Application Here. Please return all applications to GDC 7.408, Campus Mail Code: G2500.

Course Requirements

Track your progress with the Course Progression Worksheet.


Multivariate Calculus 

(M 408D, M 408M)

statistical modeling sequence
 COurse 1 (pick one)

SSC 352 Statistical Methods (Statistical Modeling)
SSC 325H Honors Statistics
ECO 329 Economic Statistics
or equivalent


SSC 353 Advanced Multivariate Modeling

Probability & inference Sequence course 1 (pick one)

M 362K Probability I
SSC 321 Introduction to Probability and Statistics
EE 351K Probability and Random Processes 


SSC 323 Statistical Learning and Inference 
M 378K Introduction to Mathematical Statistics

Electives (Pick two, one must be upper division)

ADV 344K Advertising Research
BIO 354 Epidemiology
CHE 376K Process Evaluation & Quality Control
CMS 348 Communication Research Methods
CS 343 Artificial Intelligence
ECO 341K Introduction to Econometrics
ECO 350K.4 Advanced Econometrics
EDP 362T Tests and Measurements
EE 361M Introduction to Data Mining
EE 366L Statistics for Manufacturing
EE 371D Introduction to Neural Networks
EE 379K.21 Information & Cryptography
GEO 325K Computational Methods
GEO 365N Geophysical Data Processing
GRG 356T.3 Geographical Information Systems & Remote Sensing for Archaeology and Paleontology
GRG 360L Spatial Analysis
HED 343 Epidemiology in Health Promotion
KIN 376 Measurement in Kinesiology
M 339J Probability Models with Actuarial Applications
M 349P Actuarial Statistical Estimate
M 349R Applied Regression & Time Series
M 349T Times Series & Survival-Model Estimation
M 362M Introduction to Stochastic Processes
M 378K Introduction to Mathematical Statistics
ME 366R Stochastic Methods for Operations Research
ME 367S Simulation Modeling
MIS 373.17 Data Mining for Business
NTR 365.3 Epidemiological & Statistical Methods in Nutrition
PBH 354 Epidemiology
PGE 378 Applied Reservoir Characterization
RTF 330K Introduction to Research Methods
SOC 369L Analytical Demography
SSC 302 Data Analysis for the Health Sciences
SSC 304 Statistics in Health Care
SSC 306 Statistics in Market Analysis
SSC 358 Special Topics in Statistics
SSC 374E Visualization and Data Analysis
SSC 375 Special Topics in Scientific Computation
SSC 379R Undergraduate Research
STA 309 Elementary Business Statistics
STA 372.4 Multivariate Statistical Analysis
STA 372.5 Financial & Econometric Time Series Modeling
STA 376 Intermediate Statistics

Frequently Asked Questions

Q: What are the requirements?

A: You will complete 18 semester hours, including a research project, as specified in the coursework guidelines. You must earn a letter grade of C- or better in all courses required for certification.

Q: How do I sign up?

A: Submit an application form to the SSC office in GDC 7.408, G2500. The form is available for download HERE. Students are encouraged to apply early in their course of study. The SSC will help each student choose an appropriate course sequence.

Q: Can Certificate courses also fulfill my degree requirements?

A: Some courses that are required by the certificate will also fulfill degree requirements established by a student's major department. 

Q: Will the certificate appear on my transcript?

A: For students graduating in May 2014 or later, your official UT transcript will state that you completed the Undergraduate Certificate Program in Applied Statistical Modeling.



For additional information about the Certificate in Applied Statistical Modeling program and application process, email Vicki Keller, Administrative Manager.