Statistics and Data Science B.A./B.S.

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Statistics is a combination of classical mathematics, the theory of probability, and new concepts related to inductive reasoning that have developed during the past 75 years.

Almost all activities of plants and animals (including people) depend to some degree on chance events, and most decisions made by people depend on sampling information— which also depends on chance events, and hence on probability. Consequently, fields of interest and activities for a statistician potentially are very broad.

Likewise, the professional activities open to a trained statistician are varied. The existence of modern-day computers relieves the statistician of tedious computations and elevates his or her professional activity to dealing with people and/or engaging in basic research.

Students who major in statistics may seek a bachelor of arts degree or a bachelor of science degree by satisfying the general requirements of that degree and by completing the following:

Bachelor’s degree requirements

General requirements

CIS 111 - Introduction to Computer Programming Credits: 3
or
CIS 200 - Programming Fundamentals Credits: 4
or
CIS 209 - C Programming for Engineers Credits: 3
ENGL 516 - Written Communication for the Sciences Credits: 3
MATH 220 - Analytic Geometry and Calculus I Credits: 4
MATH 221 - Analytic Geometry and Calculus II Credits: 4
MATH 222 - Analytic Geometry and Calculus III Credits: 4
MATH 515 - Introduction to Linear Algebra Credits: 3
or
MATH 551 - Applied Matrix Theory Credits: 3
STAT 341 - Biometrics II Credits: 3
or
STAT 351 - Business and Economic Statistics II Credits: 3
STAT 510 - Introductory Probability and Statistics I Credits: 3
STAT 511 - Introductory Probability and Statistics II Credits: 3
STAT 705 - Regression and Analysis of Variance Credits: 3
or
STAT 713 - Applied Linear Statistical Models Credits: 3
STAT 725 - Introduction to the SAS Computing Credits: 1
STAT 726 - Introduction to R Computing Credits: 1
Additional STAT credits at 700 level Credits: 3 (excluding STAT 701 and STAT 703)

One course selected from the following list:

STAT 325 - Introduction to Statistics Credits: 3
STAT 340 - Biometrics I Credits: 3
STAT 350 - Business and Economic Statistics I Credits: 3

One course selected from the following list:

STAT 710 - Sample Survey Methods Credits: 3
STAT 720 - Design of Experiments Credits: 3
STAT 722 - Statistical Designs for Product Development and Process Improvement Credits: 3

Notes

Upper-division quantitative electives to give a total of 50 credit hours. Courses must be at the 400 level or above, and may include IMSE 541, IMSE 785, ECON 630, math, computer science, statistics (excluding STAT 701 and STAT 703), or course in other area with substantial quantitative content.

Note that STAT courses at the 400 level or higher may replace either or both of the 300-level STAT courses, but credit may be received for only one of STAT 701 or STAT 703. STAT 770 and STAT 771 may replace STAT 510 and STAT 511, respectively, subject to department approval

A minimum grade of C in each course taken as part of the major is required for graduation.

Kansas State University

Course Catalog

Statistics and Data Science B.A./B.S.

Bachelor’s degree requirements

General requirements

One course selected from the following list:

One course selected from the following list:

Notes

Total credit hours required for graduation: (120)