Computer science

The Princeton University Computer Science program offers an exceptional education designed to prepare students for a diverse range of careers in technology, research, industry, and academia. With a curriculum that emphasizes both theoretical foundations and practical applications, students gain a comprehensive understanding of core concepts such as algorithms, data structures, programming languages, and systems design. The program encourages innovative thinking and problem-solving skills, equipping graduates to tackle complex challenges in computing and related fields. Students have the opportunity to engage in cutting-edge research projects, often collaborating with faculty who are leaders in areas such as artificial intelligence, machine learning, cybersecurity, human-computer interaction, and theoretical computer science. Princeton's intimate learning environment fosters close interactions between students and faculty, allowing for personalized mentorship and collaborative research experiences. The program offers a flexible course structure, enabling students to pursue specialized interests or interdisciplinary studies that intersect with mathematics, engineering, or the social sciences. In addition to rigorous coursework, students can participate in internships, hackathons, and other extracurricular activities that enhance practical skills and professional development. Graduates of Princeton's Computer Science program are highly sought after, whether they choose to join leading tech companies, start their own ventures, or continue with graduate studies. The university also provides robust resources, including state-of-the-art laboratories and computing facilities, to support student projects and research initiatives. Dedicated advising and career services help students navigate their academic journey and plan for successful futures. Overall, the Princeton Computer Science program aims to cultivate innovative thinkers and problem-solvers capable of advancing technology and making meaningful contributions to society.

Theoretical computer science

Courses in this track explore the theoretical underpinnings of computing systems.  They all use mathematical proofs for rigorous development of the area of study.

Theory courses:*

• 340 Reasoning about Computation
• 423 Theory of Algorithms
• 433 Cryptography
• 445 Networks, Economics and Computing
• 451 Computational Geometry
• 487 Theory of Computation
• 488 Introduction to Analytic Combinatorics
• 510* (441) Programming Languages
• 516* Reasoning About Software

*If you take COS 510 (or 441) and COS 516 only one will count as a theory requirement.

Systems

Courses in this track study the design and implementation of the foundational hardware and software that constitute a modern computing environment.

Systems courses:*

• 306 (ELE 206) Introduction to Logic Design
• 318 Operating Systems
• 320 Compiling Techniques
• 333 Advanced Programming Techniques
• 375 (ELE 375) Computer Architecture and Organization
• 418 Distributed Systems
• 425 Database and Information Management Systems
• 461 Computer Networks
• 475 (ELE 475) Computer Architecture

Applications

Courses in this track treat a broad range of topics.

Applications courses:*

• 314 (MUS 314) Computer and Electronic Music through Programming, Performance, and Composition (with programming precept)
• 323 (ORF 363)  Computing and Optimization 
• 325 (MUS 315) Transforming Reality by Computer
• 326 Functional Programming
• 401 (TRA 301) Introduction To Machine Translation  
• 402 Machine Learning and Artificial Intelligence
• 424 Fundamentals of Machine Learning
• 426 Computer Graphics
• 429 Computer Vision
• 432 Information Security
• 435 Information Retrieval, Discovery and Delivery
• 436 Human-Computer Interface Technology
• 455 (MOL 455) Introduction to Genomics and Computational Molecular Biology

* Course offerings can vary from year to year.

Some regular courses are COS departmentals but do not count in any specific track, such as COS 351 "Information technology and public policy".  COS 495, Special Topics, is a departmental but may be associated with different tracks (or no track) depending on content.  Other one-time courses may also be departmentals and may count in one of the tracks depending on level and content.   Check with your advisor or the undergraduate coordinator for up-to-date information.

Independent Work

Independent work is one of the unique features of a Princeton education. Independent projects typically arise either from an idea that excites you or from an idea put forth by a professor in the department. The department maintains a wiki of faculty research interests. This list is a good place to start in looking for a project or advisor. There is also some general advice on finding a topic, an adviser, and a successful outcome here.

Once you have a project, get a form (located on the bulletin board outside the Computer Science undergraduate office) and sign it along with your advisor to let us know what you'll be doing. Your project is then between you and your advisor, but there is always a COS Independent Work Coordinator who coordinates all independent work, and schedules public talks, checkpoints, and other requirements.

It is possible to do a project with a faculty member in another department if you have the approval of the Independent Work Coordinator.

• The Common Application or the Universal College Application
• Princeton Supplement
• Transcript
• School Report
• Guidance Counselor Letter
• Two (2) Teacher Recommendations
• SAT with Essay or ACT with Writing
• Two (2) SAT Subject Tests (recommended, but not required)
• TOEFL, IELTS Academic or PTE Academic (nonnative speakers of English without 3 years of high school in English)

financing_studies: Tuition for the Computer Science undergraduate program at Princeton University varies depending on the student's financial circumstances. As of the 2023-2024 academic year, the full-time undergraduate tuition is approximately $64,410 per year. However, Princeton University is committed to meeting 100% of demonstrated financial need for admitted students through a generous financial aid program, which significantly reduces or even eliminates out-of-pocket costs for many students. The university’s financial aid policy is need-based, meaning aid is awarded based on family income and assets, not academic or athletic ability. Families from all economic backgrounds are encouraged to apply through the Free Application for Federal Student Aid (FAFSA) and the Princeton Financial Aid Application.

For students from families with incomes below a certain threshold—typically around $100,000—tuition and mandatory fees are often fully covered, and the university may provide additional grants to cover living expenses. For students from families with higher incomes, aid packages are tailored and can include loans, but Princeton minimizes reliance on student loans in its financial aid packages. Many students pay no tuition or fees through grants and scholarships, which do not need to be repaid.

The cost of living in Princeton, New Jersey, must also be considered, including housing, meals, books, personal expenses, and transportation. The estimated average cost of room and board is approximately $17,500 per year. The university provides additional support for these costs as part of its financial aid packages.

Students are encouraged to apply early and provide complete documentation to access the full range of aid options available. The university’s financial aid office offers personalized assistance to help students navigate the application process and determine their award packages. Moreover, Princeton’s commitment to affordability aims to remove financial barriers to studying Computer Science, ensuring that all admitted students can afford to attend regardless of their economic background.

Overall, the financing of studies at Princeton University’s Computer Science program is designed to be flexible and equitable, emphasizing support for students from diverse financial situations, and ensuring that financial considerations do not hinder access to a top-tier education.

The Computer Science program at Princeton University offers a comprehensive and rigorous curriculum designed to prepare students for diverse careers in research, industry, and academia. The program emphasizes both theoretical foundations and practical applications, ensuring that graduates possess a strong understanding of algorithms, programming languages, software development, systems, and theory. Students have access to world-class faculty engaged in cutting-edge research across areas such as artificial intelligence, machine learning, computer graphics, computational biology, and cryptography. The program provides numerous opportunities for undergraduate research, internships, and collaboration with industry leaders through Princeton’s extensive network and resources. The curriculum includes core courses in algorithms, data structures, computer systems, and programming paradigms, complemented by advanced electives that allow students to specialize in areas like machine learning, cybersecurity, or human-computer interaction. The flexible structure encourages interdisciplinary exploration, including courses offered in partnership with other departments such as Electrical Engineering and Operations Research. Princeton also offers a Computer Science major with the possibility to pursue honors, which involves an independent research project culminating in a thesis. The department’s facilities include modern computing labs equipped with the latest hardware and software, fostering an innovative learning environment. Additionally, students benefit from Princeton’s strong emphasis on undergraduate teaching and mentorship, with faculty and graduate students providing guidance and support throughout their studies. Graduates of the program have gone on to successful careers in academia, technology companies, startups, finance, and government agencies. The program aims to cultivate not only technical expertise but also problem-solving skills, ethical awareness, and the ability to adapt to rapid technological changes. Overall, Princeton’s Computer Science program prepares students to become leaders in the computing field, equipped with both knowledge and a mindset that fosters lifelong learning and innovation.