Computer Science BCS

4 Years On Campus Bachelors Program

California Institute of Technology

Program Overview

Caltech’s Computer Science program offers a rigorous and flexible path for students interested in the mathematical and algorithmic foundations of computing. Rooted in both theory and application, the program is designed to prepare students to solve complex computational problems and innovate across a range of fields—from scientific research to advanced technology development.

 

Curriculum and Modules

The Bachelor of Science in Computer Science at Caltech includes several key components:

Core Computer Science Courses

Students begin with foundational courses that cover essential topics such as:

  • Programming principles

  • Algorithms and computational complexity

  • Computer systems and architecture

These core subjects establish a strong base in both the theory and practice of computer science.

Advanced Coursework and Specializations

Students have the flexibility to explore advanced topics through elective tracks. Areas of specialization include:

  • Networking and distributed systems

  • Robotics

  • Machine learning

  • Computer graphics

  • Databases
    This allows students to tailor their studies based on their academic and professional goals.

 

Capstone Project

A defining feature of the program is the capstone project. This independent research or design project gives students the opportunity to apply what they’ve learned to real-world problems, often in collaboration with faculty or research labs. It serves as a bridge between academic learning and professional or research-based applications.

 

Caltech’s Computer Science program is ideal for students who want to build a deep understanding of computing while exploring the many ways it intersects with science, engineering, and technology.

Experiential Learning (Research, Projects, Internships etc.)

Caltech emphasizes experiential learning, offering students numerous opportunities to apply their knowledge beyond the classroom:​

  • Undergraduate Research: Students are encouraged to participate in research projects, collaborating with faculty on cutting-edge topics to apply theoretical knowledge to practical challenges. ​

  • Student Organizations: Active participation in computing clubs and organizations fosters collaboration and professional growth, providing platforms for students to engage with peers and industry professionals.​

  • Interdisciplinary Opportunities: Caltech's unique academic structure allows computer science students to collaborate across various scientific and engineering disciplines, enhancing their problem-solving skills and broadening their perspectives. ​

Progression & Future Opportunities

Caltech supports students in transitioning from academic life to professional careers through various services:​

  • Career Services: The university offers resources such as counseling, workshops, and job fairs to connect students with potential employers, assisting with resume building, interview preparation, and job search strategies.​

  • On-Campus Recruitment: Caltech hosts career fairs and networking events, facilitating direct engagement between students and industry representatives, which can lead to employment opportunities upon graduation.​

  • Employability: Graduates of the Computer Science program are well-prepared for careers in software development, data analysis, cybersecurity, and other technology-related fields. The combination of rigorous academics and experiential learning ensures that students are equipped with the skills and knowledge required by employers.​

By integrating a comprehensive curriculum with practical experiences and robust support services, Caltech's B.S. in Computer Science program prepares students for successful careers in the ever-evolving technology landscape.​

Program Key Stats

$65,898
$ 75
Aug Intake : RD 3rd Jan EA/ED 1st Nov


9 %
No
Yes

Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1510 - 1580
34 - 35
7.0
100

Additional Information & Requirements

Career Options

  • Software Engineering: Developer
  • Full-Stack Engineer
  • Mobile App Developer
  •   AI & Data Science: Machine Learning Engineer
  • Data Scientist
  • AI Researcher
  •   Cybersecurity & Cloud: Cybersecurity Analyst
  • Cloud Engineer
  • Ethical Hacker
  •   Finance & Business Tech: Quantitative Analyst
  • Fintech Developer
  • Blockchain Specialist
  •   Product & Management: Product Manager
  • Technical Program Manager
  •   Entrepreneurship: Startups and innovation
  •   Further Studies: MS or PhD in AI
  • cybersecurity
  • or data science for research roles
  • MBA for leadership and management positions
  •   Long-Term Growth: Engineering: Software Engineer → Tech Lead → CTO
  •   Data & AI: Data Scientist → Head of AI
  • Management: Product Manager → VP of Engineering
  •  

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