Career and Academic Opportunities

With the emphasis on state-of-the-art statistical methods and experience with real-world data, graduates will be well positioned to assume careers in business, healthcare, governmental agencies, market research, and academia. The U.S. Bureau of Labor and Statistics projects job growth for data scientists, statisticians and industrial engineers to far exceed the average for all occupations in the next ten years. Careers open to students with an MS in Statistics include Market Research Analyst, Operations Research Analyst, Statistical Consultant, Insurance Industry Statistician, and Biostatistician among others. Students with a BS degree in ISYE along with a MS in Data Science and Analytics may also choose to pursue further graduate study in Engineering or Statistics (for example in KSU's PhD in Analytics and Data Science or PhD in Interdisciplinary Engineering). See, for further salary and job growth data.

Salary and Career Information

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Admission Requirements

Double Owl Admission Requirements 
  • 3.25 GPA in KSU coursework
  • A "C" or better in MATH 1190 and MATH 2202
  • 60 hours toward the BS in ISYE
  • 12 hours in residence at KSU

Double Counted Courses Include

  • STAT 7100 to count for ISYE 3600
  • Any MS DSA course (STAT 7020 recommended) to count for ISYE Technical Elective
  • Any MS DSA course (STAT 7220 recommended) to count for ISYE Technical Elective
Graduate Admission Requirements

Suggested Timeline

Apply to Double Owl early in Junior year. Apply to Graduate Program in Senior Year by posted graduate program deadline.

Pathway of Study - Industrial Engineering Concentration Pathway of Study - Systems Engineering Concentration


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Contact Information

Undergraduate Information

Undergraduate Degree
Bachelor of Science in Industrial and Systems Engineering

Department / College
Industrial and Systems Engineering / Southern Polytechnic College of Engineering and Engineering Technology
G Building, Room 210

Advising Contact
Blake Willms, Academic Advisor

Graduate Information

Graduate Degree
Master of Science in Data Science and Analytics

Department / College
School of Data Science and Analytics /  College of Computing and Software Engineering
Clendenin Building, Room 3011

Advising Contact
Joe DeMaio, Program Director