At Luddy Bloomington, we prepare students to lead the future of computing by combining computer science theory, systems, and applications in areas such as algorithms, artificial intelligence, biomedical and health technologies, cybersecurity, quantum computing, and robotics.
Founded in 1969, we bring over 50 years of leadership in research and education, and we continue to innovate in the rapidly changing technology landscape.
As part of IU, students have access to advanced labs, high-speed infrastructure, and one of the fastest university supercomputers in the country—Big Red 200. We support interdisciplinary study through collaborations with other IU programs and provide opportunities for hands-on research at every level.
Learn computing theory and how to use computers to solve problems. This degree prepares you for a wide range of in-demand careers.
Add computer science to your skill set and open doors to a wider variety of career opportunities.
Strengthen your technical skills with a master’s degree earned in just one extra year after your B.S. in Computer Science.
Specialize in cybersecurity by adding one year to your B.S. in Computer Science and earning a master’s degree.
Dive deep into programming, software engineering, AI, machine learning, big data, and cybersecurity—everything you need to lead in tomorrow’s tech-driven world.
Position yourself for success in today’s competitive market with a tech-driven cybersecurity master's degree.
Blend computational biology, data analysis, machine learning, and genomics to turn big biological data into big breakthroughs in health, tech, and biotech.
You'll work alongside leading faculty on advanced research in areas like artificial intelligence, data science, computer vision, and high-performance computing.
Gain the skills to secure digital systems and protect critical information. This program prepares you to meet today’s cybersecurity challenges head-on.
Add computer science to your advanced degree skill set and open doors to a wider variety of career opportunities.
Our world class educators and researchers use computing to solve real-world problems while mentoring the next generation of innovators and expand what's possible for people everywhere.
Core Faculty
Theoretical computer science focuses on the very foundations of computing. It is concerned with abstract models of computation (such as the Turing machine, von Neumann architecture, or quantum computers), how real-world computers relate to these models, and the types of problems these models can solve. It also deals with designing efficient algorithms that can solve foundational problems and analyzing the algorithms’ performance mathematically.
Artificial intelligence research encompasses foundational areas such as knowledge representation, reasoning, planning, and decision making, as well as applied areas such as vision, speech, and music processing. Machine learning is a highly influential subfield of artificial intelligence that is concerned with the development of systems that learn from experience and the use of large training data to improve their performance on specific tasks.
Bioinformatics and computational biology are concerned with processing and managing large-scale biomolecular (especially sequential) data to better understand living systems and predict their behavior. These areas also focus on the discovery and analysis of the root causes of diseases—for example, in the form of genomic alterations—and investigate how they affect cellular systems.
Computer vision, speech, and music processing are among the most significant application areas of machine learning and AI. Research focuses on visual and auditory pattern recognition, 3D image reconstruction, visual and speech classification, vision and speech processing for robotics, musical signal processing, and computer music generation.
Research in databases and data mining is concerned with the improvement of data organization with the primary goal of providing efficient and meaningful access to information, explicitly presented or implicitly included in large data sets with diverse types and structures.
Programming languages provide means of expressing computational tasks in a succinct, flexible, secure, reliable, efficient, and reusable manner. Research involves the design and implementation of new languages and language constructs, and analysis and improvement of existing languages through formal methods and proofs.
Security and privacy research at IU focuses on areas such as systems, software, and network security as well as privacy-preserving processing of biomedical data, to provide means of protection from various forms of outside attacks.
This area focuses on designing and optimizing hardware and software to more efficiently perform large-scale computations, especially through the use of parallelism. This research also focuses on theoretical and applied work on computer architecture.
Research in teaching and learning involves the examination of pedagogy practices, student learning outcomes, and strategies for collecting and analyzing data related to teaching computer science, with the goal of improving the student learning experience.
Our alumni and donors help drive student success by mentoring, recruiting, and supporting scholarships, research, and travel through the Computer Science Student Fund and other initiatives.
Discover how CS at Luddy is building what's next.
Luddy School students John Lazenby and Tri Nguyen received an "eye-opening experience" during a four-day intensive engineering bootcamp in Washington D.C.
Anshu Roja Selvamani pushed past her comfort zone to turn a dream into reality and become the Luddy School's first Herman B Wells Distinguished Senior Award winner.
Research from Luddy professor Byung-Cheol Min to design robots that understand what humans want and that are more adaptive, personalized and trustworthy has earned selection to the prestigious NVIDIA Academic Grant Program.
812-855-6486
iucs@iu.edu
Luddy Hall 2062
700 N. Woodlawn Avenue
Bloomington, IN 47408
