Computer Science - Artificial Intelligence Track
The Computer Science program with an Artificial Intelligence track at University of Stanford provides students with a deep understanding of AI principles, algorithms, and applications. Students study machine learning, neural networks, robotics, natural language processing, and data science, developing analytical, programming, and problem-solving skills. The curriculum emphasizes machine learning, algorithm design, data analysis, and AI implementation, equipping students to create intelligent systems, analyze large datasets, and develop innovative AI solutions.
Over four years of full-time study, learners progress from foundational programming and computer science courses to advanced topics in AI theory, deep learning, and robotics. Laboratory exercises, coding projects, and research experiences allow students to apply theoretical knowledge to practical and experimental challenges in AI. As students advance, they strengthen their expertise in neural networks, natural language processing, robotics programming, and AI research methodologies, preparing them for careers in software development, data science, AI research, or graduate studies in artificial intelligence and related fields.
Key information
Key Facts
- Program Title: Computer Science - Artificial Intelligence Track
- 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 of Computer Science
· Introduction to Programming and Computer Systems
· Discrete Mathematics and Calculus
· Academic Writing and Research Skills
· Introduction to Computational Thinking
Year 2 – Developing Analytical and AI Skills
· Data Structures and Algorithms
· Probability and Statistics for AI
· Introduction to Machine Learning
· Research Methods in Computer Science
Year 3 – Advanced Study & Applied Projects
· Deep Learning and Neural Networks
· Natural Language Processing
· Robotics and Intelligent Systems
· Electives in Computer Vision, AI Ethics, or Data Analytics
Year 4 – Honors Thesis & Professional Integration
· Honors Thesis / Independent Research
· Advanced Seminar in Artificial Intelligence
· Applied AI Projects and Simulations
· Academic Portfolio and Presentation Development
Career Opportunities
Graduates of this program are prepared for careers that require advanced AI knowledge, programming expertise, and problem-solving capabilities. Many find opportunities in artificial intelligence research, machine learning engineering, data science and analytics, and robotics and automation, applying their skills to design intelligent systems, analyze complex datasets, and innovate solutions in technology sectors. The program equips students with computational thinking, coding proficiency, and research experience highly valued in academia, technology, and industry. Additionally, graduates are well-prepared for graduate studies in AI, machine learning, or computer science, providing pathways to professional and academic leadership roles in artificial intelligence and computing.
Why Choose This Program
This program is ideal for students who wish to specialize in artificial intelligence while developing advanced programming, analytical, and research skills. Coursework integrates machine learning, robotics, deep learning, natural language processing, and data analytics, allowing learners to study AI applications in depth. Students engage in coding projects, research labs, and applied AI experiments, developing strong computational, problem-solving, and critical thinking skills. The curriculum emphasizes applied learning, interdisciplinary study, and cutting-edge AI research, preparing graduates for professional or academic pathways that demand expertise in artificial intelligence and technology. This preparation is further strengthened through comprehensive AI and machine learning training, equipping students with the knowledge and skills to succeed in AI, robotics, and data-driven careers.
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
