BS Computer Science

4 Years On Campus Bachelors Program

University of California Irvine

Program Overview

The University of California, Irvine offers a Bachelor of Science in Computer Science through the Donald Bren School of Information and Computer Sciences. This program provides a comprehensive education in computing principles, preparing students for diverse careers in technology and related fields. The curriculum emphasizes both theoretical foundations and practical applications, ensuring graduates possess the skills necessary for the evolving tech landscape. ​

Curriculum and Modules

The B.S. in Computer Science curriculum at UCI includes:​

  • Lower-Division Courses: Fundamental subjects such as programming, data structures, computer organization, and discrete mathematics.​

  • Upper-Division Courses: Advanced topics including algorithms, artificial intelligence, computer architecture, computer vision, database systems, graphics, networking and distributed systems, operating systems, and security.

This structure allows students to build a strong foundation in computer science while offering opportunities to specialize in areas of interest through elective courses. 

Experiential Learning (Research, Projects, Internships etc.)

UCI emphasizes experiential learning through various opportunities:​

  • Capstone Project Courses: Students engage in comprehensive projects that integrate their learning, fostering problem-solving skills and practical application of theoretical knowledge.​

  • Undergraduate Research: Opportunities to collaborate with faculty on cutting-edge research projects, allowing students to delve deeper into specific areas of interest within computer science.​

  • Student Organizations: Active participation in computing clubs and organizations promotes collaboration, networking, and professional development among peers and industry professionals.​

These experiences enhance the educational journey, preparing students for real-world challenges in the tech industry. ​

Progression & Future Opportunities

UCI 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: UCI 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, the University of California, Irvine's B.S. in Computer Science program prepares students for successful careers in the evolving technology landscape.​

Program Key Stats

$54,721
$ 95
Aug Intake : 30th Nov


39 %
No
Yes

Eligibility Criteria

ABB - AAA
3.0 - 3
36 - 40
85 - 90

N/A
N/A
6.5
80

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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