Academic structure, teaching phases, and curriculum for B.E./B.Tech Industrial Engineering at University of Wisconsin–Madison.


Industrial Engineering, BS
Teaching phases
Undergraduate engineering degree
The official Guide describes a curriculum combining engineering fundamentals with data science and operations-research tools.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Applying to University of Wisconsin–Madison?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Wisconsin–Madison. The consultation is free.
Academic structure, teaching phases, and curriculum for B.E./B.Tech Industrial Engineering at University of Wisconsin–Madison.


Industrial Engineering, BS
Teaching phases
Undergraduate engineering degree
The official Guide describes a curriculum combining engineering fundamentals with data science and operations-research tools.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Applying to University of Wisconsin–Madison?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Wisconsin–Madison. The consultation is free.
Training & support
Practical training & industry exposure
The university’s programme pages show applied opportunities that differ by field: engineering curricula include laboratories, design work and accreditation-specific outcomes; the Wisconsin MBA includes a 10–12-week summer internship after year one, a consulting-project capstone and applied learning; the MS Data Science curriculum combines statistical modelling, machine learning, data management and electives; and Computer Sciences students can access department workshops, seminars, job fairs, mentoring and student organisations. Students should assess the named programme rather than infer a common placement structure across UW–Madison.
Industry & placement partners
Training & support
Practical training & industry exposure
The university’s programme pages show applied opportunities that differ by field: engineering curricula include laboratories, design work and accreditation-specific outcomes; the Wisconsin MBA includes a 10–12-week summer internship after year one, a consulting-project capstone and applied learning; the MS Data Science curriculum combines statistical modelling, machine learning, data management and electives; and Computer Sciences students can access department workshops, seminars, job fairs, mentoring and student organisations. Students should assess the named programme rather than infer a common placement structure across UW–Madison.
Industry & placement partners