B S Computer Science

4 Years On Campus Bachelors Program

University of Colorado Boulder

Program Overview

The Bachelor of Science in Computer Science at CU Boulder offers a strong foundation in both the theoretical principles and practical applications of computing. Designed to cultivate a broad understanding of the field, the program equips students with the skills and knowledge needed for a wide range of careers in technology and related industries.

 

Curriculum Highlights:

The program consists of 128 credit hours, thoughtfully structured to provide a well-rounded education:

  • Computer Science Foundation: Introductory courses like CSCI 1000 (Computer Science as a Field of Work and Study) help students understand the scope and impact of the discipline.

  • Core Computer Science Courses: Students gain proficiency in essential areas such as algorithms, data structures, computer systems, and software engineering.

  • Capstone Project: In their final year, students engage in a comprehensive project that challenges them to apply what they’ve learned to solve real-world problems.

  • Electives: A wide selection of elective courses allows students to dive deeper into advanced topics or explore interdisciplinary interests.

 

Program Recognition:

While rankings may vary depending on the source, CU Boulder’s Computer Science program is well-regarded for delivering a balanced and rigorous education that merges theoretical depth with hands-on experience.

Experiential Learning (Research, Projects, Internships etc.)

CU Boulder emphasizes experiential learning, providing students with numerous opportunities to apply their knowledge beyond the classroom:​

  • Active Learning Program: This initiative allows students to enhance their knowledge, skills, and understanding through practical experiences, including internships, research projects, and global engagement. 

  • Internships and Co-ops: Students are encouraged to pursue internships and cooperative education experiences to gain professional work experience, explore career paths, and develop new skills.

  • Research Opportunities: Undergraduates have access to research experiences across various areas, collaborating with faculty on cutting-edge topics.​

  • Student Organizations: Engagement in student organizations provides opportunities for leadership, collaboration, and professional development within the field of computer science.​

 

Progression & Future Opportunities

CU Boulder 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.​

  • On-Campus Recruitment: CU Boulder hosts career fairs and networking events, facilitating direct engagement between students and industry representatives.​

  • 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, CU Boulder's B.S. in Computer Science program prepares students for successful careers in the ever-evolving technology landscape.​

Program Key Stats

$57772
$ 70

Jan Intake : 1st OctAug Intake : 15th Jan (RD) , 15th Nov (EA / ED)


80.7 %
No
Yes

Eligibility Criteria

BBB - ABB
3.0 - 3.5
30 - 34
80 - 85

1150 - 1390
27 - 32
6.5
83

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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