Computer Science

The Bachelor of Science in Computer Science at Cornell University is a comprehensive program designed to provide students with a solid foundation in core computing principles, programming skills, and advanced topics in the field. This undergraduate degree emphasizes both theoretical understanding and practical application, preparing graduates for a variety of careers in technology, research, and academia. The curriculum covers essential areas such as algorithms, data structures, computer architecture, systems programming, software engineering, databases, artificial intelligence, machine learning, cybersecurity, and human-computer interaction. Students have the opportunity to engage in hands-on projects, collaborative research, and internships that enhance their practical skills and industry readiness.

The program is structured to support flexibility and specialization, allowing students to choose electives aligned with their interests, whether in robotics, computational biology, information science, or other emerging fields. Cornell’s strong campus resources include state-of-the-art laboratories, a vibrant research community, and distinguished faculty members who are leaders in their areas of expertise. The Bachelor of Science degree in Computer Science prepares graduates not only for immediate employment upon graduation but also for graduate study and lifelong learning in the rapidly evolving technology landscape.

Throughout their studies, students are encouraged to develop critical thinking, problem-solving abilities, and effective communication skills vital for successful careers in computing. The program fosters an innovative and inclusive environment that promotes diversity, interdisciplinary collaboration, and a global perspective on computing challenges. Graduates of the Cornell University Computer Science program often find employment in leading technology firms, startups, research institutions, and governmental agencies, or they choose to pursue advanced degrees in computer science, engineering, data science, or related fields. The program’s rigorous curriculum, combined with the university’s extensive network and industry partnerships, ensures that students are well-prepared to contribute meaningfully to the ever-changing world of technology.

• MATH 1910 - Calculus for Engineers
• MATH 1920 - Multivariable Calculus for Engineers
• MATH 2940 - Linear Algebra for Engineers

Three courses in introductory computing:

• CS 1110 - Introduction to Computing Using Python

• or

• CS 1112 - Introduction to Computing Using MATLAB
• CS 2110 - Object-Oriented Programming and Data Structures (crosslisted)

Note:

CS 1114 and CS 1115 are honors-level substitutes for CS 1112, and CS 2112 is an honors-level substitute for CS 2110.

A five-course computer science core:

• CS 2800 - Discrete Structures
• CS 3110 - Data Structures and Functional Programming

•  

• CS 3410 - Computer System Organization and Programming or
• CS 3420 - Embedded Systems (crosslisted)

•  

• CS 4410 - Operating Systems
• CS 4820 - Introduction to Analysis of Algorithms

Three 4000+ level computer science electives:

(CS 4090 and CS 4999 not allowed).

A computer science project course:

• CS 4121 - [Practicum in Compilers]
• CS 4321 - Practicum in Database Systems
• CS 4411 - Practicum in Operating Systems
• CS 4621 - Computer Graphics Practicum
• CS 4701 - Practicum in Artificial Intelligence
• CS 4758 - [Robot Learning] (crosslisted)
• CS 5150 - Software Engineering
• CS 5152 - Open-Source Software Engineering
• CS 5412 - [Cloud Computing]
• CS 5414 - Distributed Computing Principles
• CS 5431 - Practicum in System Security
• CS 5625 - [Interactive Computer Graphics]
• CS 5643 - [Physically Based Animation for Computer Graphics]
• CS 6670 - Computer Vision

Three 3000+ level courses:

(only one of ENGRD 2700 or MATH 2930 accepted) that are technical in nature, as determined by the major.

A three-course “external specialization” in a topic area other than computer science:

• all numbered at the 3000+ level

One of:

• BTRY 3080 - Probability Models and Inference (crosslisted)
• CS 4850 - Mathematical Foundations for the Information Age
• ECE 3100 - Introduction to Probability and Inference for Random Signals and Systems(crosslisted)
• ECON 3130 - Statistics and Probability
• ENGRD 2700 - Basic Engineering Probability and Statistics
• MATH 4710 - Basic Probability

An elective requirement consisting of a single 3+ credit course or a combination of courses coming to 3+ credits total:

Roughly speaking, all academic courses (inside or outside of CS) count. No PE courses, courses numbered 10xx, or ROTC courses below the 3000 level are allowed.

Note:

All the major electives described above must be courses of at least 3 credits, with the exception of the CS project course, which is at least 2 credits, or as otherwise specified.

Additionally, students’ course selections must satisfy the requirements of at least one “vector” or CS–centric specialization, defined by the department. The set of vectors includes artificial intelligence, computational science and engineering, graphics, network science, programming languages, software engineering, system/databases, theory, and a broad “Renaissance” vector. See www.cs.cornell.edu/undergrad for the requirements of each vector and updates.

The program is broad and rigorous, but it is structured in a way that supports in-depth study of outside areas. Intelligent course selection can set the stage for graduate study or employment in any technical area or any professional area such as business, law, or medicine. With the advisor, the computer science major is expected to put together a coherent program of study that supports career objectives and is true to the aims of a liberal education.

Requirements

• SAT or the ACT —CALS does not have SAT/ACT score requirements
• Landscape Architecture: Portfolio required
• International Students: TOEFL (score of 100 or better) or IELTS (score of 7) required
• The Common Application (CA) or Universal College Application (UCA)
• The School Report
• Counselor Recommendation
• Two Teacher Evaluations
• The Midyear Report, when your mid-year grades are available
• $80 application fee or fee waiver
• Official secondary/high school transcript
• Cornell University Questions and Writing Supplement (CA) or Cornell Supplement (UCA)

The Computer Science undergraduate program at Cornell University offers a variety of financing options to support students throughout their studies. Cornell University is committed to ensuring that financial barriers do not prevent qualified students from pursuing their academic goals. To this end, the university provides comprehensive financial aid packages, which typically include a combination of scholarships, grants, loans, and work-study opportunities. Undergraduate students admitted to the Computer Science program are encouraged to complete the Free Application for Federal Student Aid (FAFSA) and the CSS Profile to determine their eligibility for need-based aid. Cornell's financial aid office reviews each application individually to create a tailored financial plan that considers the student's and their family's financial circumstances.

Merit-based scholarships are also available to outstanding students demonstrating exceptional academic achievement, leadership qualities, or unique talents. These scholarships can significantly reduce the financial burden on students and are awarded based on academic performance and holistic evaluation criteria. Additionally, the university offers departmental scholarships specifically for Computer Science students, which may be awarded based on academic merit or financial need. Students are encouraged to apply for external scholarships and fellowships, which can supplement institutional aid and provide additional financial support.

Students are also eligible for federal and state loan programs, which allow them to borrow funds for educational expenses with reasonable repayment terms after graduation. Work-study programs provide opportunities for students to work part-time on or off-campus, gaining valuable experience while earning funds to offset educational costs. Cornell University's financial aid policies aim to meet 100% of demonstrated financial need for admitted students. International students may have different aid options, often limited to external scholarships or private funding sources, as need-based aid from the university is primarily available to U.S. citizens and eligible non-citizens.

In summary, financing studies of the Computer Science program at Cornell University encompass a range of options designed to make education accessible and affordable. Accurate and timely application for financial aid is essential, and students are urged to contact the university's financial aid office for detailed guidance and assistance throughout their academic journey.

The Bachelor of Science in Computer Science at Cornell University offers a comprehensive and rigorous education designed to prepare students for careers in technology, research, and academia. The program emphasizes foundational principles of computer science, including algorithms, data structures, programming languages, computer architecture, and systems design. Students have the opportunity to explore a wide range of specialized areas such as artificial intelligence, machine learning, cybersecurity, software engineering, database systems, and computer graphics.

The curriculum is structured to combine theoretical knowledge with practical applications, allowing students to develop problem-solving skills through project-based coursework and hands-on laboratories. Cornell's close ties with industry leaders and research institutions provide students with internships, research opportunities, and collaborations that enhance experiential learning.

Undergraduates are encouraged to participate in research projects, often working alongside faculty members who are leading experts in their fields. The program also offers various electives and interdisciplinary courses, enabling students to tailor their education to their specific interests and career goals. Additionally, the university supports a vibrant community of student organizations, hackathons, coding competitions, and tech seminars, fostering a collaborative environment for peer learning and innovation.

Graduates of the program have gone on to pursue successful careers in software development, data analysis, academia, consulting, and entrepreneurship. Many students also continue their education by applying to master's and doctoral programs in computer science and related fields. The program at Cornell University strives to develop not only technical expertise but also critical thinking, ethical understanding, and communication skills essential for leadership in the rapidly evolving world of technology.