Academic structure, teaching phases, and curriculum for B.E./B.Tech Data Science at Iowa State University.

Bachelor of Science in Data Science
Teaching phases
Years 1–4
The major combines technical data-science foundations with applied analysis and data-driven problem solving.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Applying to Iowa State University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Iowa State University. The consultation is free.
Academic structure, teaching phases, and curriculum for B.E./B.Tech Data Science at Iowa State University.

Bachelor of Science in Data Science
Teaching phases
Years 1–4
The major combines technical data-science foundations with applied analysis and data-driven problem solving.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Applying to Iowa State University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Iowa State University. The consultation is free.
Practical training & industry exposure
Iowa State describes undergraduate research and hands-on learning across its colleges, while the Computer Science department identifies research areas including artificial intelligence, machine learning, robotics, networks, databases, software engineering and parallel computing. The university also connects students with career fairs, academic advising and employer-facing opportunities. The exact practical component depends on the selected major, course plan and any research, internship or co-op arrangement; students should confirm availability with the department before relying on it.
Industry & placement partners
Practical training & industry exposure
Iowa State describes undergraduate research and hands-on learning across its colleges, while the Computer Science department identifies research areas including artificial intelligence, machine learning, robotics, networks, databases, software engineering and parallel computing. The university also connects students with career fairs, academic advising and employer-facing opportunities. The exact practical component depends on the selected major, course plan and any research, internship or co-op arrangement; students should confirm availability with the department before relying on it.
Industry & placement partners