Bachelor of Science (B.S.) Major in Industrial Engineering

Minimum required: 129 semester credit hours

Admission Requirements

  1. The Bachelor of Science (B.S.) degree with a major in Industrial Engineering requires admission to the university. 

  2. In order to declare Industrial Engineering as a major, students must meet one of the following prerequisites:
    1. ACT Math score of 24 or higher,
    2. SAT Math score of 550 or higher, or
    3. credit for one of the following math courses with a grade of “C” or higher:
      MATH 1315College Algebra3
      MATH 1317Plane Trigonometry3
      MATH 1319Mathematics for Business and Economics I3
      MATH 1329Mathematics for Business and Economics II3

General Requirements

  1. The general education core curriculum courses are listed in the degree plan below along with the statewide component code number. See the General Education Core Curriculum section of this catalog for the Texas State requirements and options in the core curriculum, including Honors courses.
  2. Students must complete a minimum of 36 advanced hours (3000 or 4000 level courses).
  3. Nine semester credit hours must be writing intensive (WI).
  4. Students entering Texas State with fewer than 16 credit hours completed after high school graduation will be required to take US 1100. All others will be exempt from taking this course.
  5.  If two years of the same language are taken in high school, then no additional language hours will be required for the degree. In the absence of such high school language, two semesters of the same modern language must be taken at the college level.
  6.  The Industrial Engineering major includes all the courses required for an Applied Mathematics minor.

Course Requirements 

First SemesterHoursSecond SemesterHours
CHEM 1335 (Life and Physical Sciences Component Code 030 [TCCN CHEM 1309 or 1409])3PHYS 1430 (Life and Physical Sciences Component Code 030 [TCCN PHYS 2425])4
CHEM 1135 (TCCN CHEM 1109 [taken with TCCN CHEM 1309])1ENGR 23003
MATH 2471 (Mathematics Component Code 020 [TCCN MATH 2413])4MATH 2472 (Component Area Option Code 090/092 [TCCN MATH 2414])4
ENG 1310 (Communication Component Code 010 [TCCN ENGL 1301])3Communication Component Code 0103
ENGR 1304 (TCCN ENGR 1304)3American History Component Code 0603
US 11001 
 15 17
First SemesterHoursSecond SemesterHours
PHYS 2425 (Component Area Option Code 090/094 [TCCN PHYS 1430])4CS 13423
MATH 33773MATH 33233
MFGE 23323ENGR 2301 (TCCN ENGR 2301)3
POSI 2310 (Government/Political Science Component Code 070 [TCCN GOVT 2306])3ECO 2301 (Social and Behavioral Sciences Component Code 080 [TCCN ECON 1301])3
American History Component Code 0603POSI 2320 (Government/Political Science Component Code 070 [TCCN GOVT 2305])3
 Creative Arts Component Code 050 [HUMA 1315]3
 16 18
First SemesterHoursSecond SemesterHours
ENGR 33113MATH 2393 (TCCN MATH 2315)3
ENGR 33153IE 33303
ENGR 33733IE 33403
IE 33203IE 33603
PHIL 1305 or 1320 (Language, Philosophy, and Culture Component Code 040 [TCCN PHIL 1301 or PHIL 2306])3IE Elective13
 15 15
First SemesterHoursSecond SemesterHours
IE 43103IE 43203
IE 43553IE 43503
IE 43923IE 43933
IE 43703MFGE 43963
Math/Science Elective for Applied Math Minor or IE Elective1,23IE Elective13
IE Elective13 
 18 15
Total Hours: 129

A minimum of nine (9) hours of advanced Industrial Engineering electives chosen from the list below are required.


A  minimum of three (3) hours of approved Math/Science electives are required for IE student with applied math minor.

Advanced Industrial Engineering Electives

EE 3326Numerical and Scientific Data Analysis Using Python3
EE 4331Introduction to Machine Learning for Engineering Applications3
ENGR 3190Cooperative Education1
ENGR 3290Advanced Cooperative Education2
ENGR 4390Internship3
ENGR 4395Independent Studies in Engineering3
IE 3305Introduction to Data Analysis3
IE 4330Reliability Engineering3
IE 4335Lean Six Sigma Methodologies3
IE 4340Optimization Techniques3
IE 4360Human Factors Design3
IE 4381Introduction to Systems Engineering 3
IE 4399DModern Heuristic Optimization Techniques3
IE 4399FIntroduction to Data-Intensive Analysis and Simulation3
MFGE 4367Polymer Properties and Processing3
EE 4392Microelectronics Manufacturing I3