BS Computer Science

4 Years On Campus Bachelors Program

University of Utah

Program Overview

The University of Utah's Kahlert School of Computing offers a Bachelor of Science in Computer Science, providing students with a rigorous blend of theory and practice. The program prepares graduates for diverse careers in technology by emphasizing both the theoretical foundations and practical applications of computer science. 

Curriculum and Modules

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

  • Core Computer Science Courses: Topics such as object-oriented programming, data structures, algorithms, computer organization, software engineering, and theory.​

  • Advanced Electives: Students can choose from areas like artificial intelligence, databases, operating systems, computer networks, programming languages, graphics, computer architecture, and digital design. ​

  • Mathematics and Science Requirements: Courses in calculus, discrete mathematics, and natural sciences to build a solid analytical foundation.​

For detailed degree requirements and sample course plans, please refer to the University of Utah's academic catalog. ​

Experiential Learning (Research, Projects, Internships etc.)

The University of Utah emphasizes experiential learning, offering students numerous opportunities to apply their knowledge beyond the classroom:​

  • Undergraduate Research: Students are encouraged to engage in research projects, collaborating with faculty on various topics to apply theoretical knowledge to real-world problems.​

  • 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.​

  • Internships and Co-ops: While not mandatory, students are encouraged to pursue internships and cooperative education experiences to gain industry exposure and practical skills. Notably, 92% of students secure full-time jobs before they graduate, with many opportunities arising from the Kahlert School of Computing’s annual career fair. ​

Progression & Future Opportunities

The University of Utah 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: The Kahlert School of Computing hosts an annual career fair, 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 Utah's B.S. in Computer Science program prepares students for successful careers in the ever-evolving technology landscape.​

Program Key Stats

$36,562
$ 65
Rolling


No
Yes

Eligibility Criteria

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

1180 - 1400
27 - 32
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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