B.S. in Robotics
This cross-departmental degree program leverages expertise from Computer Science, Informatics, and Intelligent Systems Engineering departments to provide a balanced foundation in both the theory and practice of robotics.
This degree program will begin accepting applications for the Fall 2027 semester in August 2026.
What you'll learn
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The program integrates strengths in artificial intelligence, human–computer interaction, systems engineering, and robotics hardware, ensuring students gain a balanced foundation in both the theoretical principles and hands-on practices of robotics. This interdisciplinary approach prepares students to design, build, and deploy intelligent robotic systems capable of operating in complex real-world environments.
Graduates will be well-equipped not only for roles in industry—such as robotics, automation, aerospace, manufacturing, and healthcare—but also for pursuing advanced research and innovation that pushes the boundaries of what autonomous systems can achieve.
Build, design, and code the future
Luddy’s B.S. in Robotics is a cross-departmental degree program that draws on the breadth and depth of expertise across the Computer Science, Informatics, and Intelligent Systems Engineering departments within the Luddy School of Informatics, Computing, and Engineering.
30 credits
Robotics Core
Autonomy, mechanics, motion planning and control, human-robot interaction
27 credits
Mathematics and Science Core
Calculus, linear algebra, probability & statistics, physics
30 credits
Technical Electives
Artificial intelligence, machine learning, prototyping, computer vision, engineering
9 credits
Robotics Track
Autonomy, computation, embedded and cyber-physical systems, human-centered robotics, robot design and building, biorobotics
Program details
Degree tracks include:
- Autonomy
- This track equips students with foundational and advanced knowledge in autonomous systems through courses in artificial intelligence, advanced machine learning, reinforcement learning, image processing, and behavior-based robotics. In this track, students explore the design and modeling of intelligent, autonomous systems.
- Computation
- This track emphasizes the computational foundations of robotics, with a focus on a range of specialties, including data analytics, algorithm design, and intelligent systems. Students in this track will explore numerical methods, statistical modeling, high-performance computing, data mining, and analytics.
- Embedded and Cyber-Physical Systems
- This track focuses on the integration of hardware and software in real-time environments, preparing students to design and analyze embedded and cyber-physical systems. Students in this track explore topics such as digital systems, embedded computing, internet of things, signal processing, wearable sensors, and networked systems.
- Human-Centered Robotics
- This track explores the intersection of robotics, human-computer interaction, and socio-technical systems, emphasizing the design of technologies that prioritize human needs and experiences. Students will cover areas such as human-guided and human-in-the-loop systems, virtual reality, smart cities, user-interface design, and ethical considerations in human-robot interaction.
- Robot Design and Building
- This track focuses on the hands-on design, fabrication, and testing of robotic systems, preparing students to build and refine autonomous machines. Students who choose this track engage with topics such as aerial and aquatic systems, automated fabrication, and real-world robotics applications in complex environments.
- Biorobotics
- This track focuses on the design and study of robotic systems inspired by biological processes and organisms. Students who choose this track will explore bio-inspired computing, artificial life, cognitive modeling, and swarm-based systems, with future course offerings expanding the field’s interdisciplinary scope.
The Luddy student experience
Student living
Our Living Learning Center
The Luddy Living Learning Center is a first-year residential community at IU Bloomington where students can connect, explore tech, and take part in exclusive trips and speaker events. It also features a makerspace with high-tech equipment just for Luddy students.
Scholarships and financial aid
Find financial help
Attending the Luddy School of Informatics, Computing, and Engineering is more affordable than you think. With direct-admit scholarships and federal financial aid, you can reduce the cost of earning your B.S. in Intelligent Systems Engineering at IU.
Explore student organizations
Our student led community
You'll find many student organizations in Luddy exploring nearly every corner of information and society, from women in computing to sociotechnical ethics and more. Whatever sparks your curiosity, you'll find others who share it. And if you don't, you can create it.