Computer Science
The Bachelor of Science in Computer Science at University of Stanford provides students with a rigorous and comprehensive education in the principles and practices of computing. In the early years, students develop a strong foundation in programming, algorithms, data structures, computer architecture, and discrete mathematics. These courses foster analytical thinking, technical proficiency, problem-solving skills, and computational reasoning, enabling students to understand core concepts and prepare for advanced study in computer science. Through lectures, laboratory exercises, and collaborative coding projects, learners gain practical experience in software development and computational problem-solving.
As students advance, the program emphasizes specialized topics such as artificial intelligence, machine learning, cybersecurity, databases, software engineering, and systems programming. Independent research, advanced projects, and seminars allow students to refine research methodology, technical expertise, critical evaluation, and practical application skills. The honors curriculum encourages experimentation and innovation, equipping students to tackle complex computing challenges. By graduation, students are prepared for careers in software engineering, data science, cybersecurity, AI development, or graduate study in computer science and related fields.
Key information
Key Facts
- Program Title: Computer Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Stanford University, United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computer Science
• Introduction to Programming and Problem Solving
• Data Structures and Algorithms
• Computer Systems and Architecture
• Discrete Mathematics and Logic
• Writing and Research in Computing
Year 2 – Core Computer Science Studies
• Software Engineering Principles
• Operating Systems and Networks
• Database Systems and Data Management
• Programming Languages and Paradigms
• Seminar: Computer Science Methods
Year 3 – Advanced Applications
• Artificial Intelligence and Machine Learning
• Cybersecurity and Cryptography
• Human-Computer Interaction
• Independent Research Projects
• Electives in Specialized Computing Fields
Year 4 – Capstone and Honors Project
• Senior Thesis or Independent Research Project
• Advanced Seminar in Computer Science
• Software Development Project or Applied Research
• Data Analysis and System Evaluation
• Specialized Electives in Computing
Career Opportunities
Graduates of this program are prepared for careers in software engineering, data science, cybersecurity, artificial intelligence, IT consulting, and research. The curriculum develops technical proficiency, analytical reasoning, problem-solving skills, and research expertise, enabling students to pursue roles as software developers, data scientists, system architects, AI specialists, or research scientists. Independent research and project-based coursework provide hands-on experience, while the honors track enhances preparation for graduate study or professional specialization. Graduates leave equipped to solve complex computing challenges and contribute to technological innovation across industries.
Why Choose This Program
This program is ideal for students who wish to study computer science in a comprehensive, research-oriented, and application-focused curriculum. Its structure emphasizes critical thinking, technical expertise, problem-solving skills, and research competence, providing students with both theoretical knowledge and practical experience. Through seminars, independent projects, coding labs, and collaborative research, learners develop the skills to design, implement, and optimize complex software systems, analyze large datasets, and tackle contemporary computational problems. Graduates leave with the expertise, confidence, and professional readiness to pursue careers in computing, software development, data science, AI, or advanced academic study.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
