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 applied statistics, data mining or machine learning, a two-course sequence on the mathematical foundations of statistics, and complete two elective courses (six hours) in statistics, machine learning, econometrics, etc. from the approved elective list. Only one introductory statistics course may count towards the certificate. No "credit by examination" coursework can be counted.
Students must complete 18 semester hours of courses as follows in "Course Requirements."
Please return all applications to GDC 7.408, Campus Mail Code: D9800.
Track your progress with the Course Progression Worksheet.
Multivariate Calculus (M 408D, M 408M)
APPLIED STATISTICS, DATA MINING OR MACHINE LEARNING COurse 1 (pick one)
SDS 302 Data Analysis for the Health Sciences
SDS 304 Statistics in Health Care
SDS 306 Statistics in Market Analysis
SDS 328M Biostatistics
M 358K Applied Statistics
ECO 329 Economic Statistics
EDP 371 Introduction to Statistics
PSY 418 Statistics & Research Design
SOC 317L Introduction to Social Statistics
STA 309 Elementary Business Statistics (majors only)
APPLIED STATISTICS, DATA MINING OR MACHINE LEARNING COURSE 2
SDS 325H Honors Statistics
SDS 332 Statistical Models for the Health & Behavioral Sciences
SDS 352 Statistical Modeling
ECO 341K Introduction to Econometrics
STA 371G/H Statistics & Modeling/Honors (majors only)
STA 375/H Statistics & Modeling for Finance (majors only)
MATHEMATICAL FOUNDATIONS OF STATISTICS course 1 (pick one)
M 362K Probability I
SDS 321 Introduction to Probability and Statistics
EE 351K Probability and Random Processes
MATHEMATICAL FOUNDATIONS OF STATISTICS COURSE 2 (PICK ONE)
SDS 323 Statistical Learning and Inference
M 378K Introduction to Mathematical Statistics
Electives (Pick two)
ADV 344K Advertising Research (majors only)
CMS 348 Communication Research Methods
CS 343 Artificial Intelligence
ECO 350K.4 Advanced Econometrics
ECO 354K Introduction to Game Theory
EE 361M Introduction to Data Mining
GEO 325K Computational Methods
GEO 365N Geophysical Data Processing
HED 343 Epidemiology in Health Promotion
HED 373 Evaluation and Research Design
KIN 376 Measurement in Kinesiology
M 339J Probability Models with Actuarial Applications
M 349P Actuarial Statistical Estimate
M 349R Applied Regression and Time Series
M 362M Introduction to Stochastic Processes
M 375T Generalized Linear Models
MIS 373.17 Data Mining for Business
PBH 354 Epidemiology
PGE 378 Applied Reservoir Characterization
PSY 325K Advanced Statistics
RTF 330K Introduction to Research Methods
SOC 369L Analytical Demography
SDS 353 Advanced Multivariate Modeling
SDS 358 Special Topics in Statistics
SDS 358.1 Applied Regression Analysis
SDS 374E Visualization and Data Analysis
SDS 375 Special Topics in Scientific Computation
SDS 379R Undergraduate Research
STA 372.4 Multivariate Statistical Analysis (majors only)
STA 372.5 Financial & Econometric Time Series Modeling (majors only)
STA 376 Intermediate Statistics (majors only)
Q: What are the requirements?
A: You will complete 18 semester hours as specified in the coursework guidelines. You must earn a letter grade of B- or better in all courses required for certification.
Q: How do I sign up?
A: Submit an application form to the SDS office in GDC 7.408, D9800. The form is available for download HERE. Students are encouraged to apply early in their course of study. The SDS department 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?
For additional information about the Certificate in Applied Statistical Modeling program and application process, email Vicki Keller at vicki.keller[@]cns[dot]utexas[dot]edu.