Luddy School of Informatics, Computing, and Engineering Campuses

The Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington offers a comprehensive range of undergraduate and graduate programs focused on the intersection of technology, data, and human-centered design. Students engage in cutting-edge coursework that prepares them for careers in informatics, computing, and engineering fields.

• Bachelor of Science in Informatics: This program emphasizes the application of information technology to solve real-world problems, covering topics such as data management, cybersecurity, health informatics, and media arts. Students learn programming, database systems, and user interface design, with opportunities for interdisciplinary electives in business, biology, or journalism.
• Bachelor of Science in Computer Science: Core courses include algorithms, software engineering, artificial intelligence, and computer architecture. Advanced topics like machine learning, computer vision, and distributed systems are explored, fostering skills in coding with languages such as Java, Python, and C++.
• Bachelor of Science in Data Science: Focused on statistical analysis, big data technologies, and predictive modeling, this degree integrates computing with mathematics. Key subjects include data visualization, machine learning, and ethical data use, preparing graduates for roles in analytics and AI.
• Master of Science in Human-Computer Interaction Design: This graduate program delves into user experience (UX) research, interaction design, and prototyping. Courses cover usability testing, accessibility, and emerging technologies like virtual reality, blending theory with hands-on projects.
• Master of Science in Informatics: Specializations in areas like bioinformatics, security informatics, and media informatics. Students conduct research in data ethics, network analysis, and intelligent systems, often culminating in a thesis or capstone project.
• PhD in Informatics: Advanced research-oriented program with concentrations in cognitive science, complex systems, and media arts. Doctoral students collaborate on interdisciplinary projects, publishing in top journals and contributing to fields like AI ethics and digital humanities.
• Bachelor of Science in Intelligent Systems Engineering: Engineering-focused curriculum on robotics, IoT, and smart infrastructure. Courses include signal processing, embedded systems, and sustainable engineering practices.

Across all programs, the curriculum incorporates experiential learning through internships, research labs, and collaborations with industry partners like Google and Microsoft. The school emphasizes diversity, equity, and inclusion in tech, with courses on computational social science and bias in algorithms. Facilities like the Luddy Hall makerspaces and data visualization labs support innovative teaching. Graduates pursue careers in software development, data analysis, UX design, and academia, with strong placement rates in tech hubs worldwide. The programs evolve with industry trends, incorporating blockchain, quantum computing, and climate informatics to address global challenges.