BS Computer Science

4 Years On Campus Bachelors Program

University of California Los Angeles

Program Overview

UCLA’s Bachelor of Science in Computer Science offers students a rigorous and well-rounded education in the field of computing. The program is designed to build a strong foundation in both theoretical concepts and practical skills, preparing students for successful careers in tech or further academic study.

With a curriculum that spans programming, systems, algorithms, and software design, the program also emphasizes critical thinking, creativity, and collaborative problem-solving.

The program is accredited by the Computing Accreditation Commission of ABET, ensuring it meets nationally recognized standards for quality and academic excellence.

 

Curriculum Overview

The curriculum integrates computer science core courses with supporting studies in mathematics, physics, and general education, fostering both technical proficiency and a broader academic perspective.

Core Computer Science Courses

Students complete a sequence of fundamental courses, including:

  • Introduction to Computer Science I and II

  • Introduction to Computer Organization

  • Software Construction Laboratory

  • Logic Design of Digital Systems

  • Operating Systems Principles

  • Computer Network Fundamentals

  • Programming Languages

  • Introduction to Algorithms and Complexity

  • Introduction to Formal Languages and Automata Theory

These courses equip students with a deep understanding of how computer systems work and how to build efficient, scalable software.

 

Electives and Specialization

In addition to core courses, students choose upper-division electives in computer science and related areas. This flexibility allows students to tailor their degree toward areas such as:

  • Artificial Intelligence

  • Cybersecurity

  • Data Science

  • Human-Computer Interaction

  • Software Engineering

  • Robotics

 

Capstone Project

In their final year, students complete a capstone design project, where they work in teams to build a real-world system or software solution. This hands-on experience allows students to apply their knowledge in a collaborative, project-based setting—often in partnership with industry mentors or faculty.

 

Why Choose UCLA for Computer Science?

  • Top-ranked engineering school with a global reputation for research and innovation

  • Located in Los Angeles, a major tech and entertainment hub

  • Access to cutting-edge labs, internships, and entrepreneurial resources

  • A balanced curriculum that develops both technical expertise and communication skills

 

UCLA’s Computer Science program offers a robust, flexible, and future-focused education, preparing students to lead and innovate in one of the most exciting and impactful fields of our time.

Experiential Learning (Research, Projects, Internships etc.)

UCLA emphasizes hands-on learning experiences, offering computer science students numerous opportunities to apply their knowledge beyond the classroom:​

Research Opportunities:

Undergraduate students are encouraged to engage in research projects under the supervision of faculty who are at the leading edge of technological innovation. The Samueli School of Engineering offers various programs to facilitate undergraduate research experiences. 

Additionally, the Computer Science Department hosts several research labs focusing on areas such as artificial intelligence, bioinformatics, and network systems, providing students with opportunities to contribute to cutting-edge projects. 

Internships:

The UCLA Career Center assists students in securing internships that provide practical experience and industry exposure.Students can access resources to explore internship opportunities, apply for positions, and gain valuable professional experience. ​

Student Organizations:

UCLA hosts various student organizations that enhance learning and foster community among computer science students, including:​

  • Association for Computing Machinery (ACM): Provides resources and networking opportunities for students interested in computing.

  • Upsilon Pi Epsilon (UPE): The international honor society for the computing and information disciplines, recognizing academic excellence.​

  • Society of Women Engineers (SWE): Supports and promotes the involvement of women in engineering fields.​

These organizations offer workshops, guest lectures, hackathons, and collaborative projects, enabling students to enhance their skills and connect with professionals.​

Progression & Future Opportunities

UCLA provides robust support to ensure computer science graduates are well-prepared for their careers:​

Employability:

Graduates of the Computer Science program have strong employment prospects, with many securing positions at leading technology companies, startups, and research institutions. The program's emphasis on both theoretical foundations and practical applications equips students with the skills and experience sought by employers in the tech industry.​

Career Services:

The UCLA Career Center offers a range of services to assist students in their career development. Students can access resources to explore careers, learn about internships and networking opportunities, and find various career-related resources. The center also facilitates on-campus and virtual career fairs, interviews, and networking events, connecting students with potential employers and helping them navigate their career paths effectively.

By integrating rigorous academics with practical experiences and comprehensive career support, the B.S. in Computer Science program at UCLA prepares students for successful transitions into the professional world.​

Program Key Stats

$49,354
$ 95
Aug Intake : 30th Nov


17 %
No
Yes

Eligibility Criteria

3.5 - 4.0
38 - 42
90 - 95

N/A
N/A
7.0
100

Additional Information & Requirements

Career Options

  • Career Pathway:   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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