Program Overview

Statistics and Data Science Bachelor's Degree

The Statistics and Data Science Bachelor's Degree program is designed to equip students with the skills to collect, analyze, and interpret data to make insightful decisions in various fields, including science, engineering, business, and education. Due to rapid advances in technology, a vast proliferation of complex and rich data is available today, and statisticians are in great demand to help organizations design complex studies, gather and analyze data, communicate findings, and make informed decisions.

Program Overview

Within the statistics and data science major, students can complete either a Bachelor of Arts (BA) or Bachelor of Science (BS) degree. The program requires 120 credit hours and is available 100% online. The tuition rate is $445.85 per credit hour, although this is subject to change annually.

Admission Requirements

All students are required to meet the general university admission requirements. The program is open to freshmen, transfer, international, and nondegree students.

Careers

One of the fastest-growing professions, statisticians are in high demand in private industry, government, and education. Occupations include:

• Biostatistician
• Business analyst
• Economist
• Operations research analyst
• Quality analyst
• Sports statistician
• Data scientist
• Data analyst

Curriculum for Bachelor of Arts Degree in Statistics and Data Science

The BA degree requires:

K-State Core - General Education Courses (34-36 credits)

• English (6 credits)
• Communications (3 credits)
• Math and Statistics (3 credits)
• Natural and Physical Sciences (4-5 credits)
• Social and Behavioral Sciences (6 credits)
• Arts and Humanities (6 credits)
• Free Electives (6 credits)

Program Requirements (18 credits)

• Outside Concentration (9 credits)
• Overlays (9 credits)

Statistics Foundation Courses (19 credits)

• STAT 150 - Statistics and Data Science: Introductory Seminar for Majors (1 credit)
• STAT 225 - Introduction to Statistics (3 credits) or STAT 240 - Biometrics I (3 credits) or STAT 250 - Business and Economic Statistics I (3 credits)
• STAT 341 - Biometrics II (3 credits) or STAT 351 - Business and Economic Statistics II (3 credits)
• STAT 610 - Introduction to Mathematical Statistics I (3 credits)
• STAT 611 - Introduction to Mathematical Statistics II (3 credits)
• STAT 720 - Design of Experiments (3 credits) or STAT 722 - Experimental Designs for Product Development and Quality Improvement (3 credits)
• STAT 705 - Regression and Analysis of Variance (3 credits)

Mathematics Foundation Courses (15 credits)

• MATH 220 - Analytic Geometry and Calculus I (4 credits) and MATH 221 - Analytic Geometry and Calculus II (4 credits) and MATH 222 - Analytic Geometry and Calculus III (4 credits)
• MATH 551 - Applied Matrix Theory (3 credits) or MATH 515 - Introduction to Linear Algebra (3 credits)

Programming Foundation Courses (3-4 credits)

• CIS 200 - Programming Fundamentals (4 credits) or CIS 209 - Computer Programming for Engineers (3 credits)

Upper-Division Electives (9 credits)

• Choose two upper-division quantitative electives from the list (6 credits)
  • ECON 630 - Introduction to Econometrics (3 credits)
  • IMSE 541 - Statistical Quality Control (3 credits)
  • IMSE 785 - Big Data Analytics (3 credits)
  • MIS 665 - Business Analytics and Data Mining (3 credits)
  • MIS 670 - Social Media Analytics and Web Mining (3 credits)
  • MATH 400+ courses
  • STAT 400+ courses (except STAT 510, STAT 511, STAT 701, STAT 703)
  • CIS 400+ courses
  • CC 400+ courses
• Choose one additional STAT course at 700+ except STAT 701 and STAT 703 (3 credits)

Advanced Writing Requirement (3 credits)

• ENGL 516 - Written Communication for the Sciences (3 credits)

Statistics Computing (2 credits)

• STAT 725 - Introduction to the SAS Computing (1 credit)
• STAT 726 - Introduction to R Computing (1 credit)

BA Arts, Humanities, and Social Sciences Requirement (6 credits)

BA Second Language Requirement (3-16 credits)

Free Electives (0-16 credits)

Curriculum for Bachelor of Science Degree in Statistics and Data Science

The BS degree requires:

K-State Core - General Education Courses (34-36 credits)

• English (6 credits)
• Communications (3 credits)
• Math and Statistics (3 credits)
• Natural and Physical Sciences (4-5 credits)
• Social and Behavioral Sciences (6 credits)
• Arts and Humanities (6 credits)
• Free Electives (6 credits)

Program Requirements (18 credits)

• Outside Concentration (9 credits)
• Overlays (9 credits)

Statistics Foundation Courses (19 credits)

• STAT 150 - Statistics and Data Science: Introductory Seminar for Majors (1 credit)
• STAT 225 - Introduction to Statistics (3 credits) or STAT 240 - Biometrics I (3 credits) or STAT 250 - Business and Economic Statistics I (3 credits)
• STAT 341 - Biometrics II (3 credits) or STAT 351 - Business and Economic Statistics II (3 credits)
• STAT 610 - Introduction to Mathematical Statistics I (3 credits)
• STAT 611 - Introduction to Mathematical Statistics II (3 credits)
• STAT 720 - Design of Experiments (3 credits) or STAT 722 - Experimental Designs for Product Development and Quality Improvement (3 credits)
• STAT 705 - Regression and Analysis of Variance (3 credits)

Mathematics Foundation Courses (15 credits)

• MATH 220 - Analytic Geometry and Calculus I (4 credits) and MATH 221 - Analytic Geometry and Calculus II (4 credits) and MATH 222 - Analytic Geometry and Calculus III (4 credits)
• MATH 551 - Applied Matrix Theory (3 credits) or MATH 515 - Introduction to Linear Algebra (3 credits)

Programming Foundation Courses (3-4 credits)

• CIS 200 - Programming Fundamentals (4 credits) or CIS 209 - Computer Programming for Engineers (3 credits)

Upper-Division Electives (9 credits)

• Choose two upper-division quantitative electives from the list (6 credits)
  • ECON 630 - Introduction to Econometrics (3 credits)
  • IMSE 541 - Statistical Quality Control (3 credits)
  • IMSE 785 - Big Data Analytics (3 credits)
  • MIS 665 - Business Analytics and Data Mining (3 credits)
  • MIS 670 - Social Media Analytics and Web Mining (3 credits)
  • MATH 400+ courses
  • STAT 400+ courses (except STAT 510, STAT 511, STAT 701, STAT 703)
  • CIS 400+ courses
  • CC 400+ courses
• Choose one additional STAT course at 700+ except STAT 701 and STAT 703 (3 credits)

Advanced Writing Requirement (3 credits)

• ENGL 516 - Written Communication for the Sciences (3 credits)

Statistics Computing (2 credits)

• STAT 725 - Introduction to the SAS Computing (1 credit)
• STAT 726 - Introduction to R Computing (1 credit)

BS Natural and Quantitative Requirement (3 credits)

BS Arts, Humanities, and Social Sciences Requirement (3 credits)

Free Electives (19-21 credits)

Transfer Equivalency

K-State offers online tools to help students determine how previous coursework taken at another accredited institution will transfer to K-State. Students can search by course or by program curriculum to learn how their courses will transfer.