BS / BA Computer Science

4 Years On Campus Bachelors Program

University of California Berkeley

Program Overview

UC Berkeley offers two primary pathways for undergraduate students interested in Computer Science:​

  • Bachelor of Arts (B.A.) in Computer Science: Offered through the College of Computing, Data Science, and Society (CDSS), this program emphasizes a comprehensive education in computer theory, information processing, hardware and software design, and applications. It combines rigorous technical training with a liberal arts education, allowing students flexibility to explore interdisciplinary interests. 

  • Bachelor of Science (B.S.) in Electrical Engineering and Computer Sciences (EECS): Offered through the College of Engineering, this program integrates fundamentals of computer science and electrical engineering, preparing students for careers in both fields.

Key Differences:

  • Curriculum Focus: The B.A. program allows for greater flexibility with elective courses, enabling exploration of diverse fields, whereas the B.S. program has a more structured curriculum with a stronger emphasis on engineering principles.​

  • Admissions Process: Admission to the B.S. program is through direct application to the College of Engineering, while students interested in the B.A. program apply to the College of Letters and Science and declare the CS major after fulfilling prerequisite courses. ​

Experiential Learning (Research, Projects, Internships etc.)

UC Berkeley emphasizes hands-on learning and provides numerous opportunities for students to apply their knowledge beyond the classroom:​

  • Research Opportunities: Undergraduates are encouraged to engage in research across various areas such as artificial intelligence, robotics, and data science, collaborating with faculty and contributing to groundbreaking projects. 

  • Internships and Industry Connections: The university's proximity to Silicon Valley facilitates strong industry ties, offering students access to internships and employment opportunities with leading tech companies.​

  • Student Organizations: Numerous student-led organizations, such as the Association for Computing Machinery (ACM) and Women in Computer Science and Engineering (WiCSE), provide platforms for networking, skill development, and community engagement.​

Progression & Future Opportunities

UC Berkeley supports students in their transition from academic life to professional careers through various services:​

  • Career Services: The Career Center offers resources including career counseling, resume workshops, interview preparation, and job fairs to connect students with potential employers.​

  • Graduate Studies: For students interested in advanced studies, UC Berkeley's CS program provides a strong foundation for pursuing graduate degrees in computer science and related fields.

By integrating rigorous academics with practical experiences and comprehensive support services, UC Berkeley's Computer Science program prepares students for successful careers in technology and beyond.​

For a detailed overview of the program, you may refer to the official UC Berkeley Computer Science undergraduate program page: 

 

 

Program Key Stats

$54,835
$ 95
Aug Intake : 30th Nov


17 %
No
Yes

Eligibility Criteria

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

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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