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The University of Chicago offers both Bachelor of Arts (B.A.) and Bachelor of Science (B.S.) degrees in Computer Science, giving students the flexibility to tailor their education based on their interests and career goals. These programs provide a solid foundation in computing while allowing students to explore interdisciplinary connections or dive deeper into technical areas. In addition to these degrees, the department also offers combined B.A./M.S. and B.S./M.S. programs, as well as a minor in Computer Science.
Both the B.A. and B.S. programs share a strong core of computer science coursework, including fundamental topics such as programming, algorithms, systems, and theory. However, they differ in structure and emphasis:
This track is ideal for students who want to study computer science within the broader context of a liberal arts education. It offers more flexibility, making it easier to combine computer science with interests in other fields such as economics, philosophy, or the social sciences. It's a great option for those considering interdisciplinary careers or graduate studies that cross disciplinary boundaries.
The B.S. program is more technically rigorous and requires students to build expertise in an additional related area through an approved secondary field of study. This pathway is suited for students aiming for a deeper technical foundation and those considering careers in research, engineering, or advanced technical roles.
Whether you choose the B.A. or B.S., the University of Chicago’s Computer Science programs are designed to cultivate critical thinking, problem-solving, and innovation—preparing students to thrive in today’s technology-driven world.
The University of Chicago emphasizes experiential learning through various opportunities:
Undergraduate Research: Students are encouraged to participate in research projects, collaborating with faculty on diverse topics to apply theoretical knowledge to real-world challenges.
Student Organizations: Active participation in computing clubs and organizations fosters collaboration and professional growth, providing platforms for students to engage with peers and industry professionals.
Internships and Co-ops: While not mandatory, students are encouraged to pursue internships and cooperative education experiences to gain industry exposure and practical skills.
The University of Chicago supports students in transitioning from academic life to professional careers through various services:
Career Services: The university offers resources such as counseling, workshops, and job fairs to connect students with potential employers, assisting with resume building, interview preparation, and job search strategies.
On-Campus Recruitment: The university hosts career fairs and networking events, facilitating direct engagement between students and industry representatives, which can lead to employment opportunities upon graduation.
Employability: Graduates of the Computer Science programs 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 are equipped with the skills and knowledge required by employers.
By integrating comprehensive curricula with practical experiences and robust support services, the University of Chicago's Computer Science undergraduate programs prepare students for successful careers in the evolving technology landscape.
Deadline details: The application deadline is 11:59 p.m. in the applicant's local time zone on the date listed for each application program. Don't panic if you have difficulty submitting the application and it goes through after 11:59 p.m. We want to review your application, and will not disqualify you based on the timestamp.SAT/ACT Update: Submitting an SAT or ACT is optional and not required for admission. In addition to being test-optional, UChicago practices a “No Harm” policy for application review when considering SAT or ACT scores. Any SAT or ACT score submitted will only be used in review if it will positively affect an applicant’s chance of admission.SAT/ACT Score reporting: Students submitting SAT or ACT scores may share either official or self-reported scores. Students sharing self-reported scores will not be required to submit official score reports unless they are admitted and choose to enroll.English language Proficiency: The University of Chicago requires strong English proficiency for admission. You may submit any English test scores that best reflect your ability, though they are optional if your application already demonstrates mastery of the language. Self-reported scores are accepted and only need official confirmation if you enroll. Please note: UChicago does not offer an ESL program for admitted students.Recommendations: School Report- Required, Mid Year Report- Required, Final Report- Required, Teacher Evaluation(s): 2 Required, 1 Optional, Other Evaluation(s): 0 Required, 3 Optional.Writing Requirements: UChicago Writing Supplement – 2 Required Essays Submit both essays via the Common Application. UChicago is known for its unique and thought-provoking essay questions. These essays are your chance to share your personality, interests, and goals—whether serious, playful, or creative. Each year, we crowdsource topics from our students, resulting in hundreds of engaging and sometimes quirky prompts. Learn more about current and past essay topics on our website.Career Pathway:
Software Engineering: DeveloperFull-Stack EngineerMobile App Developer
AI & Data Science: Machine Learning EngineerData ScientistAI Researcher
Cybersecurity & Cloud: Cybersecurity AnalystCloud EngineerEthical Hacker
Finance & Business Tech: Quantitative AnalystFintech DeveloperBlockchain Specialist
Product & Management: Product ManagerTechnical Program Manager
Entrepreneurship: Startups and innovation
Further Studies: MS or PhD in AIcybersecurityor data science for research rolesMBA for leadership and management positions
Long-Term Growth: Engineering: Software Engineer → Tech Lead → CTO
Data & AI: Data Scientist → Head of AIManagement: Product Manager → VP of Engineering
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