BS in Computer Science

4 Years On Campus Bachelors Program

University of Pittsburgh

Program Overview

The University of Pittsburgh’s Bachelor of Science in Computer Science provides students with a strong foundation in both the theory and practice of computing. Designed to prepare graduates for careers in the tech industry or advanced academic study, the program balances essential computer science concepts with opportunities for hands-on learning and specialization.

 

Core Curriculum

Students begin with a structured set of core courses that cover essential areas of computer science, including:

  • Intermediate Programming

  • Algorithms and Data Structures I & II

  • Computer Organization and Assembly Language

  • Introduction to Systems Software

  • Discrete Structures for Computer Science

  • Formal Methods in Computer Science

  • Mathematical Foundations of Machine Learning

These courses build a comprehensive understanding of programming, system design, theoretical models, and the mathematical underpinnings of computing.

 

Additional Requirements

In addition to core courses, students are required to complete:

  • Upper-Level Electives
    Electives allow students to explore advanced or specialized topics aligned with their interests.

  • Capstone Experience
    This requirement can be fulfilled through an internship, directed research, or a project-based course—providing real-world experience and a chance to apply what they've learned.

  • Mathematics Courses
    The curriculum includes:

    • Calculus I and II

    • Linear Algebra

    • A course in probability or statistics

This well-rounded academic structure ensures that students graduate with the analytical and problem-solving skills needed in today's ever-evolving tech landscape.

 

Program Recognition

While specific national rankings for the Computer Science B.S. program aren't highlighted, the University of Pittsburgh’s School of Computing and Information is known for its strong academic standards, innovative research, and commitment to interdisciplinary education.

Experiential Learning (Research, Projects, Internships etc.)

The University of Pittsburgh emphasizes hands-on learning experiences, offering computer science students numerous opportunities to apply their knowledge beyond the classroom:​

Research Opportunities:

Undergraduate students are encouraged to engage in research projects, collaborating with faculty members on various topics within computer science. The Department of Computer Science hosts an annual undergraduate research symposium where faculty present their research projects and discuss opportunities for student involvement. Additionally, students can participate in directed research projects as part of their capstone experience. ​

Internships:

The School of Computing and Information supports students in securing internships that provide practical experience and industry exposure. Internship credit is available for undergraduate students who meet specific eligibility criteria, including being a declared Computer Science major and having completed certain coursework. These internships enable students to explore career possibilities and develop professional skills. ​ 

Student Clubs:

The Computer Science Club (CSC) is the largest computer science student organization on campus, open to all majors.CSC hosts a variety of events aimed at building a welcoming and inclusive community of motivated students interested in computer science. Activities include workshops, guest lectures, hackathons, and networking events, providing members with opportunities to enhance their skills and connect with professionals.  

 

Progression & Future Opportunities

The University of Pittsburgh offers robust support to ensure computer science graduates are well-prepared for their careers:​

Employability:

Graduates of the School of Computing and Information have found positions at leading companies such as Google, Amazon, Apple, BNY Mellon, IBM, PNC, and Schell Games. The school's commitment to providing a strong educational foundation, combined with experiential learning opportunities, contributes to a high post-graduate success rate. In 2021, the undergraduate post-graduate success rate was 95%, indicating that a significant majority of graduates were employed, enrolled in graduate school, or engaged in other professional endeavors shortly after graduation.  ​

Career Services:

The Career Center at the University of Pittsburgh offers a range of services to assist students in their career development.Students can access resources through Pitt Career Central to explore careers, learn about internships and networking opportunities, and find various career-related resources. The center also facilitates on-campus and virtual career fairs, interviews, and networking events, connecting students with potential employers and helping them navigate their career paths effectively. 

By integrating rigorous academics with practical experiences and comprehensive career support, the B.S. in Computer Science program at the University of Pittsburgh prepares students for successful transitions into the professional world.​

Program Key Stats

$45,798
$ 55
Rolling


55 %

Eligibility Criteria

ABB - AAB
3.0 - 3.5
36 - 38
80 - 85

1270 - 1450
31 - 33
7.0
95

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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