Computational Statistics Minor

Contact Information

Dr. Travis Kowalski
Interim Head
Department of Mathematics
McLaury 206C
(605) 394-2471
Email: travis.kowalski@sdsmt.edu

The South Dakota School of Mines and Technology offers a minor in computational statistics, which helps prepare graduates for careers involving intensive use of data. A minor in computational statistics must be approved by the student’s major department along with the approval of the Department Head for Mathematics. Students majoring in Mathematics are not eligible for the minor in computational statistics.

The core coursework includes

MATH 225 Calculus III Credits: (4-0) 4
MATH 315 Linear Algebra Credits: (3-0) 3
MATH 381 Introduction to Probability and Statistics Credits: (3-0) 3
OR
IENG 381 Introduction to Probability and Statistics Credits: (3-0) 3

The elective coursework includes

The computational statistics minor requires elective coursework in each of the areas of computation, statistics/informatics, and data analysis, described below.

Computation

At least 3 credits in computation, which can be satisfied from the following list:

CSC 150/150L Computer Science I/Lab Credits: (2-1) 3
CSC 170/170L Programming for Engineers and Scientists Credits: (3-0) 3
CBE 117L Programming for Chemical and Biological Engineering Credits: (0-1) 1
CBE 250 Computer Applications in Chemical Engineering Credits: (2-0) 2

Statistics/Informatics

At least 3 credits in statistics/informatics, which can be satisfied from the following list:

MATH 382 Probability Theory and Statistics II Credits: (3-0) 3
or
IENG 382 Probability Theory and Statistics II Credits: (3-0) 3
GEOL 419/519 Advanced Geospatial Analysis Credits: (3-0) 3
BIOL 480/580 Bioinformatics Credits: (3-0) 3

Data Analysis

At least 2 credits in data analysis, which can be satisfied from the following list:

MATH 443/543 Data Analysis Credits: (3-0) 3
MATH 447/547 Design of Experiments Credits: (3-0) 3
CBE 488/588 Applied Design of Experiments for the Chemical Industry Credits: (2-0) 2

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