Department of Industrial Engineering
Industrial Engineering applications illustrated

Industrial Engineering at the University of Pittsburgh applies engineering principles to complex systems involving people, processes, and technology. With a mid-size program that offers personalized attention and mentorship, students develop the analytical and business skills to improve efficiency, quality, and safety across a wide range of industries.

The curriculum connects with many other areas of study and emphasizes real-world experience through co-ops, internships, and global opportunities. Graduates pursue careers in healthcare, data analytics, consulting, manufacturing, technology, and the nonprofit sector - with strong job placement and competitive salaries.

News

Award-Winning End to an Amazing Career

Award-Winning End to an Amazing Career

Before teaching her first university course, Karen Bursic worked as an industrial engineer on the floor of a General...

Designing Healthcare Solutions Across Silos

Designing Healthcare Solutions Across Silos

Andrey Ibragimov, former vice president of operations for Ambulatory Surgery at UPMC, has long envisioned university...

Real Problems, Engineered Solutions

Real Problems, Engineered Solutions

The University of Pittsburgh’s Swanson School of Engineering proudly hosted its 23rd Design Expo on Thursday, April 23,...

Swanson School of Engineering climbs in U.S. News graduate rankings

Swanson School of Engineering climbs in U.S. News graduate rankings

The University of Pittsburgh Swanson School of Engineering continues to rank among the Top 25 public engineering...

IISE Recognizes Pitt Professor Karen Bursic with Fellow Award

IISE Recognizes Pitt Professor Karen Bursic with Fellow Award

Professor Karen Bursic first joined the Institute of Industrial & Systems Engineers (IISE) as an undergraduate...

Events

Sep 10

Anesia Auguste, "Processing of Liquid Crystal Elastomers"

Abstract: Liquid crystalline elastomers (LCEs) are widely recognized for their exceptional promise as actuating...

Sep 24

Pramod Varshney, "Six Blind Men of Indostan: Theory and Applications of Distributed Inference"

Abstract: Distributed inference refers to the synergistic combination of information gathered by various knowledge...

Oct 01

Ali Tajer, "Causal Representation Learning"

Abstract: Building reliable world models for physical systems is a central challenge in modern AI, with broad...

Oct 08

Vikram Krishnamurthy, "Adversarial Sensing: Infer, Reveal, and Conceal"

Abstract: In sophisticated sensing and inference systems, such as cognitive radars or networks of interacting LLMs,...

Nov 12

Neng Fan, Topic to be announced

Neng Fan is a professor of Systems and Industrial Engineering at the University of Arizona and a member of the Applied...