Information Science
The Information Science Master of Studies program at Cornell University offers a multidisciplinary and research informed environment for students who want to understand how people, data, and digital technologies interact in modern information ecosystems. The curriculum blends computational thinking, social science perspectives, user centered design, and data analysis, enabling learners to explore how information is created, structured, and used across digital environments. With a strong emphasis on information systems, students develop the technical and analytical abilities needed to examine how digital platforms support communication, decision making, and organizational processes. This integration of human behavior, technology, and analytical methods provides a foundation for evaluating and designing information solutions that respond to real world needs.
Throughout this one year program, students learn from faculty whose work spans human–computer interaction, data science, information policy, digital behavior, and computational modeling. The academic structure includes project based coursework, applied research, and interdisciplinary exploration that strengthens students’ competence in data interpretation, digital system evaluation, and user oriented analysis. Learners gain hands on experience working with digital tools, research methods, and design frameworks, allowing them to translate theoretical knowledge into effective information solutions. This combination of applied learning and conceptual depth prepares graduates to operate confidently within information rich environments across diverse industry and research settings.
Key information
Key Facts
- Program Title: Information Science
- Degree Type: Master of Studies
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 21 January 2026
- Location: Cornell University, United States
- Field of Study: Information Technology (IT)
- Language of Instruction: English
Program Structure
Semester 1
• Foundations of Information Science
• Data Analysis and Information Modeling
• Human–Computer Interaction Principles
• Elective in Computing, Design, or Information Policy
Semester 2
• Information Systems and Digital Platforms
• User Research and Interaction Evaluation
• Applied Information Science Project
• Elective in Data Science, Digital Behavior, or Technology Management
Career Opportunities
Graduates of this program pursue careers across technology, research, and information driven sectors, often joining user experience teams, data and information analysis groups, technology consulting firms, and digital product development units. Their strong preparation in information modeling, user centered evaluation, and digital system analysis enables them to contribute to research, product strategy, platform design, and organizational decision processes. With interdisciplinary training and analytical capability, they support initiatives involving digital transformation, information architecture, user research, and data supported product development across both public and private sector environments.
Why Choose This Program
This program is an excellent option for students seeking to understand the intersections of people, data, and technology, offering opportunities to develop advanced analytical skills and strong design insight supported by Cornell’s interdisciplinary strengths in information science. Through applied projects, research based learning, and user focused study, learners gain the tools to analyze information behavior, evaluate digital solutions, and design systems that meet real user needs. Its focused one year structure supports efficient, practical skill building while preparing graduates for impactful roles in UX research, digital systems analysis, information design, and technology driven innovation.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 607 255 2000
Email: admissions@cornell.edu
Address: Cornell University, Ithaca, NY 14850, United States
