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2025-2026 Undergraduate Catalog
Industrial Engineering BS/MS
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Do you ever look at a process or system and think, “Here’s how I’d make it better if I was in charge.”
If so, then welcome to industrial engineering-the perfect major for people who want to use science and math to improve efficiency and productivity. How should a hospital schedule its surgeries? Where is the best location for a new factory? How do we make autonomous vehicles safer to drive? If these types of questions get you excited, then come join us.
Visit the Industrial Engineering academic program page for more information about the academic experience, who you will learn from, opportunities outside of class and what you can do with this degree.
Visit the Industrial and Systems Engineering department page for contact information, a brief overview of the department and the curricular options.
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Admission Criteria
- Minimum overall GPA of 2.500 required
- Matriculated student with academic good standing at the University at Buffalo.
- Satisfactory performance in a series of core courses (see below). There are two paths to meet this requirement.
- Standard: Completion of four core courses with a combined core course grade point average of at least 2.500.
- Fast-Track: Completion of at least two of the four core courses (graded on an A-F bases) with a combined core course grade point average of at least 3.000.
Engineering Core Courses: - Calculus 1 (MTH 141 or MTH 153)
- Calculus 2 (MTH 142 or MTH 154)
- General Chemistry 1 (CHE 101, CHE 105, or CHE 107)
- General Physics 1 (PHY 107 or PHY 117)
Current students wishing to pursue the Industrial Engineering BS must follow the instructions on the School of Engineering and Applied Sciences Supplemental Application. See the complete School of Engineering and Applied Sciences Admissions Policies for details. Undergraduate Course Requirements
Industrial Engineering Core (86 credits)
Basic Science Elective (4 or 5 credits)
One Engineering Science Elective (3 credits)
Six Technical Electives (18 credits)
Four must be IE courses including one of either IE 441 or IE 435 or IE 436 ; other choices are restricted to those approved by the department). Other technical electives (TEs) may be drawn from courses at the 200-400-level with the prefix of IE, or courses at the 300/400-level with the following prefix (note exceptions below). All SEAS 200 level classes are acceptable for the general technical elective requirement, except for non-IE special topics courses (must be 3 credits minimum) : - BE
- CE
- CIE
- CSE
- EAS
- EE
- ENS
- IE
- MAE
- MDI
- MTH (300/400 Level)
- PHY (300/400 Level)
The following courses are excluded because they substantively duplicate coursework required for the IE degree or are otherwise inconsistent with the objective of the elective requirement Additional Technical Elective Options
Note: Space may be limited for non-majors. Notes
**Additional 300- and 400-level courses in management, economics, and psychology may also be acceptable; please see the ISE department for additional information and explicit permission to use the course for a technical elective. Total Credits Required for Undergraduate Major: 111
Additional Degree Requirements Include:
- Additional coursework to fulfill UB Curriculum requirements
- Elective courses as needed to complete the 128 credit hour total
Total Credits Required for BS: 128
Total Credit Hours Required represents the minimum credits needed to complete this program, and may vary based on a number of circumstances. This should not be used for financial aid purposes. Graduate Course Requirements
General Concentration Curriculum
Required Core (21 credits)
Select 7 from: - All graduate level Industrial Engineering (IE) courses.
- Excluding IE 599, IE 691, IE 699.
- Limit of 6 credits of Individual Problems (IE 501/IE 502).
Electives (9 credits)
Select a minimum of 3 from: - All graduate level Industrial Engineering (IE) courses.
- Courses from outside of Industrial Engineering (IE) must be approved by academic advisor. Generally, graduate Math or Management courses are acceptable, excluding MGO 630, MGO 631 or MGO 632.
Culminating Experience: Exam, Project or Portfolio (0 credits)
- Comprehensive Exam (no registration)
- Project or Portfolio may be a Culminating Experience option. Consult with your academic advisor.
Total Credit Hours: 30
3.0 Degree GPA required Human Factors/Ergonomics Concentration Curriculum
Required Core: Human Factors Track (15 credits)
- IE 507LEC - Design & Analysis of Experimnt Credits: 3
- IE 531LEC - Human Fac Res Methodology Credits: 3
And choose 3 of the following 3 courses: - IE 532LEC - Human Info Proc Credits: 3
- IE 535LEC - Human Cent Design for Interact Credits: 3
- IE 536LEC - Work Physiology Credits: 3
- IE 541LEC - Occupational Safety and Health Credits: 3
Electives (9-15 credits)
Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. Select 3 to 5 from: - All graduate level courses in the School of Engineering and Applied Sciences (SEAS).
- All graduate level Mathematics (MTH).
- Course selections must be approved by your academic advisor, Director of Graduate Studies (DGS) or graduate coordinator.
- Limit of 6 credits of Individual Problems (IE 501/IE 502).
Culminating Experience: Exam or Thesis (0-6 credits)
- IE 559TUT - MS Research Guidance Credits: 1-6
- IE 560TUT - MS Research Guidance Credits: 1-6
Total Credit Hours: 30
3.0 Degree GPA required Operations Research Concentration Curriculum
Required Core: Operations Research Track (12 credits)
- IE 572LEC - Linear Programming Credits: 3
- IE 573LEC - Discrete Optimization Credits: 3
- IE 575LEC - Stochastic Methods Credits: 3
- IE 576LEC - Applied Stochastic Proc Credits: 3
Electives (12-18 credits)
Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. Select 4 to 6 from: - All graduate level courses in the School of Engineering and Applied Sciences (SEAS).
- All graduate level Mathematics (MTH).
- Course selections must be approved by your academic advisor, Director of Graduate Studies (DGS) or graduate coordinator.
- Maximum 3 courses from outside of Industrial Engineering (IE) allowed.
- Other courses outside of SEAS and MTH may be allowed with written approval from DGS.
- Excluding IE 691, IE 699, MGO 630, MGO 631, MGO 632.
- Limit of 6 credits of Individual Problems (IE 501/IE 502).
Culminating Experience: Exam, Project, Portfolio or Thesis (0-6 credits)
- IE 559TUT - MS Research Guidance Credits: 1-6
- IE 560TUT - MS Research Guidance Credits: 1-6
Total Credit Hours: 30
3.0 Degree GPA required Production Systems Concentration Curriculum
Required Core: Production Systems Track (15 credits)
- IE 504LEC - Facilities Design Credits: 3
- IE 505LEC - Production Planning and Control Credits: 3
- IE 506LEC - Computer-Integrated Manuf Credits: 3
- IE 507LEC - Design & Analysis of Experimnt Credits: 3
- IE 551LEC - Simul & Stochastic Models Credits: 3
Electives (9-15 credits)
Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. Select 3 to 5 from: - All graduate level courses in the School of Engineering and Applied Sciences (SEAS).
- All graduate level Mathematics (MTH).
- Excluding IE 599, IE 691 and IE 699.
- Limit of 6 credits of Individual Problems (IE 501/IE 502)
Culminating Experience: Exam, Project, Portfolio or Thesis (0-6 credits)
- IE 559TUT - MS Research Guidance Credits: 1-6
- IE 560TUT - MS Research Guidance Credits: 1-6
Total Credit Hours: 30
3.0 Degree GPA required Data Analytics Engineering Track
Required Core (12 credits)
Choose 4 from the following: - IE 500LEC - Special Topics Credits: 3
- Comp Meth Human Centered Data
- Introduction to Deep Learning for Engineers
- Statistical Machine Learning for Engineers
- Data Analytics & Predictive Modeling
- Business Intelligence and Analytics
- IE 551LEC - Simul & Stochastic Models Credits: 3
- IE 555LEC - Programming for Analytics Credits: 3
- IE 670LEC - Topics in Operations Rsch Credits: 3
Electives (12-18 credits)
Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours. Select 3 to 5 from: - All graduate level courses in the School of Engineering and Applied Sciences (SEAS).
- All graduate level Mathematics (MTH).
- Excluding IE 599, IE 691 and IE 699.
- Limit of 6 credits of Individual Problems (IE 501/IE 502)
Culminating Experience: Thesis or Comp. Exam (0-6 credits)
- IE 559TUT - MS Research Guidance Credits: 1-6
- IE 560TUT - MS Research Guidance Credits: 1-6
Total Credit Hours: 30
3.0 Degree GPA required Total Credits Required for Graduation: 158
Academic Requirements
Students in the School of Engineering and Applied Sciences must have a minimum GPA of 2.000 in technical classes (engineering, math, and science classes) to be in good standing and graduate with an undergraduate degree. To maintain academic standards and determine eligibility for continued enrollment, the School of Engineering and Applied Sciences reviews the academic records of all students in an approved undergraduate SEAS major. This academic review is conducted at the end of each fall and spring semester. View the School of Engineering and Applied Sciences Academic Review Policy Transfer Credit Policy Students seeking an undergraduate engineering degree from the School of Engineering and Applied Sciences must complete 30 undergraduate credit hours of junior/senior level courses required in their major at the University at Buffalo. Program Distinction
A student in this major is eligible for Program Distinction upon degree conferral if the criteria are met. Criteria are found under Academic Honors in the Policy and Procedure section of this Catalog. Program Distinction is noted on the official transcript. Curricular Plan
A Curricular Plan provides a roadmap for completing this academic program and the UB Curriculum on time. Your actual plan may vary depending on point of entry to the university, course placement and/or waivers based on standardized test scores, earned alternative credit and/or college transfer credit. All students are encouraged to use this plan in conjunction with other academic planning resources such as your academic advisor, the HUB Academic Advisement Report, My Planner and Path Finder tool. In addition to following this course roadmap, all other admission and academic requirements of this major as listed in the Undergraduate Catalog must be met in order to successfully complete this degree.
YEAR 1
Fall Semester Spring Semester
YEAR 2
Fall Semester Spring Semester
YEAR 3
Fall Semester Spring Semester
YEAR 4
Fall Semester Spring Semester The remainder of the Industrial Engineering BS/MS will follow the MS plan on the Graduate School’s Website. Learning Outcomes
The curriculum provides opportunities for students to develop the following knowledge, skills, and behaviors by the time of graduation: - An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- An ability to communicate effectively with a range of audiences.
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
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