STATISTICS (STAT)

Program Website: http://www.stthomas.edu/statistics

College of Arts and Sciences, Interdisciplinary Program: Department of Computer and Information Sciences (OSS 402) and Department of Mathematics (OSS 201), (651) 962-5520
Shemyakin (MATH) committee chair; Advisory committee: Berg (CISC), Curran (CISC), Knudson (MATH), McNamara (CISC), Werness (CISC)

Statistics is an interdisciplinary major that draws upon faculty and courses in the departments of Computer and Information Sciences and Mathematics. The major is administered by a committee of representatives from both departments. This joint major allows students to pursue an interest in mathematical statistics, applied statistics, and related areas including biostatistics, operations research, and data mining. 

Program Faculty

Sergey Berg berg2294@stthomas.edu
Assistant Professor (651) 962-5382

Erin Curran ecurran@stthomas.edu
Associate Professor (651) 962-5397

Christina Knudson knud8583@stthomas.edu
Assistant Professor (651) 962-5521

Amelia McNamara amelia.mcnamara@stthomas.edu
Assistant Professor (651) 962-5391

Arkady Shemyakin a9shemyakin@stthomas.edu
Professor (651) 962-5522

Mark Werness mewerness@stthomas.edu
Associate Professor (651) 962-5471

Major in Statistics (B.S.)

  • MATH 113 Calculus I (or MATH 108 and MATH 109) (4 credits)
  • MATH 114 Calculus II (4 credits)
  • MATH 128 Intro to Discrete Mathematics or MATH 240 Linear Algebra (4 credits)
  • CISC 131 (or CISC 130) Intro Programming and Problem Solving (4 credits)
  • STAT 360 Computational Methods in Statistics (4 credits)
  • STAT 400 Data Mining and Machine Learning (4 credits)
  • STAT 460 Statistical Research/Practicum - a capstone experience (4 credits)
Plus:
  • Concentration in Mathematical Statistics or Applied Statistics

Concentration in Mathematical Statistics

  • MATH 200 Multi-variable Calculus (4 credits)
  • MATH 313 Probability (4 credits)
  • STAT 314 Mathematical Statistics (4 credits)
  • STAT 333 Predictive Modeling: Regression, GLM, Forecasting (4 credits)
  • Plus eight credits from the list of electives below.

Concentration in Applied Statistics

  • STAT 220 Statistics I (4 credits)
  • STAT 320 Statistics II (4 credits)
  • Plus sixteen credits from the list of electives below.
Electives
  • ACSC 364 Mathematical Finance (4 credits)
  • STAT 310 Biostatistics (4 credits)
  • STAT 336 Data Communication and Visualization (4 credits)
  • STAT 370 Bayesian Statistical Models and Credibility Theory (4 credits) 
  • STAT 380 Spatial Statistics (4 credits)
  • STAT 413 Generalized Linear Mixed Models (4 credits)
  • STAT 414 Network Models and Simulations (4 credits)

Minor in Statistics

This joint minor allows students to pursue an interest in mathematical statistics, applied statistics, and related areas including biostatistics, operations research, and data mining.

Required courses (each of two tracks includes 6 courses with MATH or STAT designation numbered in the brackets):

Required courses for Mathematical and Applied Staistics tracks:

  • MATH 113 Calculus (1) (or MATH 108 and MATH 109) (4 credits)

Plus one of the two tracks below-

Mathematical Statistics track:

  • MATH 114 Calculus II (4 credits)
  • MATH 200 Multivariable Calculus (4 credits)
  • MATH 240 Linear Algebra (4 credits)
  • MATH 313 Probability (4 credits)
  • STAT 314 Mathematical Statistics (4 credits)

Applied Statistics track:

  • CISC 131 (or CISC 130) Intro Programming and Problem Solving (4 credits)
  • STAT 220 Introduction to Statistics (4 credits)
  • STAT 320 Applied Regression Analysis (4 credits)
  • STAT 360 Computational Methods in Statistics (4 credits)
Plus four credits from the following electives:
    • STAT 310 Biostatistics (4 credits)
    • STAT 336 Data Communication and Visualization (4 credits)
    • STAT 370 Bayesian Statistical Models and Credibility Theory (4 credits) 
    • STAT 380 Spatial Statistics (4 credits)
    • STAT 400 Data Mining and Machine Learning (4 credits)
    • STAT 413 Generalized Linear Mixed Models (4 credits)
    • STAT 414 Network Models and Simulations (4 credits)
Course Number Title Credits
STAT  201 Introductory Statistics II 2
STAT  206 Introductory Statistics I 2 TO 4
STAT  220 Introductory Statistics 4
STAT  269 Statistics Research 2 OR 4
STAT  298 Topics 4
STAT  310 Biostatistics 4
STAT  314 Mathematical Statistics 4
STAT  320 Applied Regression Analysis 4
STAT  333 Predictive Modeling 4
STAT  336 Data Comm and Visualization 4
STAT  360 Comp STAT & Data Analysis 4
STAT  369 Statistics Research 2 OR 4
STAT  370 Bayesian Statistical Models 4
STAT  380 Spatial Statistics 4
STAT  400 Data Mining & Machine Learning 4
STAT  410 Operations Research I 4
STAT  411 Operations Research II 4
STAT  413 Generalized Linear Mixed Model 4
STAT  414 Network Models and Simulations 4
STAT  460 Statistical Practicum 4
STAT  469 Statistics Research 2 OR 4
STAT  476 Experiential Learning 1 TO 4
STAT  490 Topics 4
STAT  495 Individual Study 2 OR 4