BA / BS Computer Science

4 Years On Campus Bachelors Program

Yale University

Program Overview

Yale University offers a Bachelor of Science (B.S.) in Computer Science designed for students who are looking to pursue advanced studies or careers in the computing field. The program is especially well-suited for those interested in technical roles, research, consulting, or technology-focused management positions. It combines rigorous technical training with Yale’s hallmark liberal arts approach.

 

Curriculum and Modules

To earn the B.S. degree, students must complete twelve term courses structured into key components:

Core Courses (5 Courses)

These foundational classes introduce essential concepts and skills in computer science:

  • CPSC 201: Introduction to Computer Science

  • CPSC 202 or MATH 244: Discrete Mathematics

  • CPSC 223: Data Structures and Programming Techniques

  • CPSC 323: Systems Programming and Computer Organization

  • CPSC 365 or CPSC 366: Design and Analysis of Algorithms

Intermediate or Advanced Courses (6 Courses)

Students choose from a variety of upper-level computer science courses that allow them to explore topics of personal or professional interest in greater depth.

Senior Requirement

As a culminating experience, students complete CPSC 490, a capstone project involving original research or a significant design project, guided by a faculty advisor.

 

Program Recognition

Yale’s Computer Science program is highly respected for its academic rigor and for the way it integrates computing with a broad liberal arts education. Students graduate with strong theoretical foundations, practical skills, and a flexible mindset—preparing them for a range of careers in tech, research, and interdisciplinary fields.

Experiential Learning (Research, Projects, Internships etc.)

Yale emphasizes experiential learning, offering students numerous opportunities to apply their knowledge beyond the classroom:​

  • Research Internship Program: This program provides students with the opportunity to conduct cutting-edge research alongside leading faculty members. Interns gain hands-on experience and contribute to projects with real-world impact. ​

  • ITS Summer College Internship Program: A 10- to 12-week paid internship where students work with Yale's Information Technology Services professionals on projects aligned with their skills and interests, enhancing practical experience and professional development.

  • Experiential Learning Resources: Yale College provides resources to help students identify experiential opportunities that complement their academic goals, including support from the Office of Career Strategy and the Office of Fellowships. ​

Progression & Future Opportunities

Yale supports students in transitioning from academic life to professional careers through various services:​

  • Career Services: The Office of Career Strategy offers counseling, workshops, and job fairs to connect students with potential employers, aiding in career development and job placement.​

  • On-Campus Recruitment: Yale hosts career fairs and networking events, facilitating direct engagement between students and industry representatives, enhancing employment prospects.​

  • Employability: Graduates of Yale's 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 possess the skills and knowledge sought by employers.​

By integrating a comprehensive curriculum with practical experiences and robust support services, Yale University's B.S. in Computer Science program prepares students for successful careers in the evolving technology landscape.​

 

Program Key Stats

$67,250
$ 80
Aug Intake : RD 2nd Jan EA/ED 1st Nov


5 %
No
Yes

Eligibility Criteria

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

1500 - 1580
33 - 35
7.0
100

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

Book Free Session with Our Admission Experts

Admission Experts