4 Years On Campus Bachelors Program
Cornell’s Bachelor of Science in Information Science, Systems and Technology (ISST)—offered through the College of Engineering—combines rigorous technical training with an interdisciplinary approach to understanding how people, organizations, and technologies interact within complex systems.
The ISST major focuses on system design, information flow, network behavior, and human-technology interaction, preparing students to engineer information systems that are secure, ethical, efficient, and scalable.
Core Curriculum Components
Mathematics, Logic & Modeling
MATH 1910–1920: Calculus I & II
CS 2800: Discrete Structures
ENGRD 2700: Basic Engineering Probability and Statistics
ORIE 3120: Practical Optimization
Computational Foundations
CS 1110: Introduction to Computing Using Python
CS 2110: Object-Oriented Programming and Data Structures
CS 3410: Computer System Organization and Programming
INFO 3300: Data-Driven Web Applications
Core ISST Modules
INFO 2040: Networks
INFO 2450: Communication and Technology
INFO 2750: Ethical Issues in Intelligent Autonomous Systems
INFO 3152: Intro to Game Design
Systems and Applications
Students choose from system-level courses in:
Distributed Systems
Database Systems
Human-Computer Interaction
Cyber-Physical Systems
Information Networks and Security
Focus Areas (Students select one)
Information Systems
Emphasis on architecture, infrastructure, and design of scalable systems.
Human-Centered Systems
Focus on user interaction, cognitive design, and behavioral tech.
Social Systems
Exploring the influence of technology on human behavior, organizations, and society.
Network Systems
Understanding large-scale interconnectivity, protocols, and resilience.
Capstone Requirement
INFO 4900: Capstone in Information Science
Students complete a substantial team project solving a real-world challenge in information systems, often for a community or corporate partner.
Cornell’s ISST program emphasizes real-world experience, systems thinking, and multidisciplinary learning through labs, research, internships, and entrepreneurial opportunities.
Undergraduate Research
Students engage with faculty in research on:
Network science
Distributed computing
Internet of Things (IoT)
AI and policy
Human-AI collaboration
Participation is often facilitated through the Cornell Bowers CIS Research Portal or individual department labs.
Capstone Projects
Capstone experiences involve designing and testing systems such as:
Campus navigation apps
Healthcare scheduling algorithms
Scalable e-commerce platforms
AI decision support systems for nonprofits
Industry Engagement & Internships
ISST students intern with top tech firms, startups, and government agencies. Roles often span:
Systems engineering
Data analytics
DevOps and cloud architecture
Technical project management
Cornell’s engineering career network connects students with employers such as Google, Cisco, IBM, Palantir, Deloitte, and the U.S. Digital Service.
Hackathons & Innovation Challenges
Big Red Hacks
Cornell Systems Engineering Challenge
Data Science Competitions
Cornell CUP (Unmanned Aerial Systems Design)
These events foster collaboration, fast-paced problem-solving, and prototype development.
Graduates of the ISST program at Cornell enter the workforce with multi-dimensional problem-solving skills, technical expertise, and an understanding of how systems shape society. Their ability to design and manage complex information architectures makes them valuable across sectors.
Career Growth Pathways
Systems Engineer → Technical Architect → Chief Technology Officer
Data Analyst → Data Engineer → Director of Data Infrastructure
Product Manager → Program Director → Head of Innovation
Security Analyst → Risk Manager → Chief Information Security Officer
Tech Policy Analyst → Advisor → Global Technology Ethics Leader
Graduate Study Pathways
Many ISST alumni pursue:
MS or PhD in Information Systems, Systems Engineering, or Data Science
MEng in Computer Science or Operations Research
MBA with Tech/Analytics Focus
Law or Public Policy (with focus on tech governance or AI policy)
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