BA and BS Computer Science

4 Years On Campus Bachelors Program

University of Iowa

Program Overview

The Bachelor of Science in Computer Science at the University of Iowa is a rigorous, technically focused programthat provides students with a strong foundation in mathematics, science, and computing theory. Designed for students seeking in-depth training and advanced problem-solving skills, this degree is ideal for those pursuing careers in software developmenttechnology leadership, or graduate studies in computer science.

 

Curriculum Overview

The B.S. program requires a minimum of 120 semester hours, with at least 63 semester hours dedicated to the major. The curriculum integrates a blend of:

  • Core computer science coursework

  • Mathematics and statistics

  • Supporting disciplines such as physics or engineering

Students must maintain a minimum 2.00 GPA in all major-related coursework, ensuring academic rigor and mastery of key concepts.

 

Key Program Learning Outcomes

Graduates of the program are prepared to:

  • Grasp the mathematical, logical, and theoretical foundations of computing

  • Design and evaluate software systems, comparing different approaches to solve complex problems

  • Understand core principles of computer organizationsystem softwarenetworks, and security

  • Apply computer science concepts to diverse domains such as databasesdata mining, and artificial intelligence

  • Address social, professional, and ethical responsibilities in the context of technology and computing

 

Program Recognition

While rankings may vary across publications, the University of Iowa’s Computer Science program is well-regarded for its comprehensive curriculum and its focus on preparing students for a wide range of opportunities in:

  • Software engineering

  • Information systems

  • Data science

  • Research and academia

 

With its strong academic foundation and emphasis on interdisciplinary learning, the B.S. in Computer Science at Iowaequips students with the skills, knowledge, and adaptability needed to succeed in today’s ever-evolving tech landscape.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Iowa, experiential learning is a core part of the Computer Science experience. The program encourages students to go beyond traditional classroom learning by applying their skills in real-world settings, building confidence, and enhancing career readiness.

 

Internships
Computer Science students are encouraged to pursue internships that align with their career goals. These opportunities allow students to:

  • Gain firsthand experience in tech-focused roles

  • Apply classroom concepts to industry projects

  • Develop practical skills in a professional environment

Internships not only enhance resumes but also help students build valuable networks and improve their post-graduation employment prospects.

 

Research Opportunities
Students interested in advancing their academic journey can get involved in undergraduate research, working directly with faculty on cutting-edge projects.
For those close to completing their degree, the university also offers a unique early admission pathway to the Graduate College, enabling students with six or fewer credit hours remaining to:

  • Take graduate-level courses

  • Begin exploring advanced topics while finishing their bachelor's degree

This option is ideal for students planning to pursue a master’s or Ph.D. in computer science or related fields.

 

Student Organizations
Engaging in student-led organizations offers the chance to:

  • Collaborate with peers on tech projects

  • Develop leadership and communication skills

  • Participate in coding competitions, workshops, and networking events

While specific organizations vary, students are encouraged to explore clubs and groups that align with their interests—whether in software development, cybersecurity, data science, or beyond.

 

With a strong commitment to hands-on learning, professional development, and academic enrichment, the University of Iowa helps Computer Science students gain the skills and experience needed to thrive in the tech industry and beyond.

Progression & Future Opportunities

The University of Iowa supports students in transitioning from academic life to professional careers through various services and programs.​

Employability:

The B.S. in Computer Science equips students with the necessary training for employment in careers such as software development and information management. It also provides solid preparation for graduate study in a variety of disciplines.​

On-Campus Recruitment:

Students are encouraged to engage with the Pomerantz Career Center, which offers resources and support for job searches, internships, and career development. The center facilitates connections between students and potential employers, enhancing on-campus recruitment opportunities. ​

Career Services:

The Pomerantz Career Center provides comprehensive services, including career counseling, resume and cover letter assistance, interview preparation, and job search strategies. These resources are designed to support students in achieving their career goals and successfully transitioning into the workforce. ​

By integrating rigorous academics with practical experiences and comprehensive support services, the B.S. in Computer Science program at the University of Iowa prepares students for successful careers in technology and related fields.​

Program Key Stats

$35,267
$ 80
Aug Intake : RD 1st Mar EA/ED 1st Nov


84 %
No
Yes

Eligibility Criteria

BBC - ABB
3.0 - 3.5
28 - 32
75 - 80

1130 - 1320
26 - 30
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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