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Rice University offers two undergraduate degrees in computer science: the Bachelor of Arts (BA) and the more intensive Bachelor of Science in Computer Science (BSCS). The BSCS is tailored for students aiming for a deep dive into the discipline, preparing them for professional roles in software development, systems design, research, and other computing fields.
Curriculum Overview
The BSCS program requires a minimum of 128 semester hours and includes a well-rounded mix of foundational and advanced coursework:
Core Computer Science Courses
Students build strong fundamentals through courses in algorithms, data structures, computer systems, and software engineering.
Mathematics and Science Requirements
A solid base in math and science underpins students’ understanding of computational models and techniques.
Capstone Sequence
Students choose a specialization within computer science and complete a series of connected courses in that area. The sequence culminates in a design-oriented capstone course such as Software Engineering Methodology or Distributed Program Construction.
Program Learning Outcomes
Graduates of the BSCS program at Rice will be equipped to:
Understand and apply algorithms to analyze and solve complex problems.
Design and implement sophisticated software systems, working effectively in team environments.
Demonstrate proficiency in a range of programming languages and their applications.
Gain deep expertise in a specialized area of computer science.
Communicate technical ideas clearly and effectively to both technical and non-technical audiences.
Rice's BSCS program blends rigorous academic training with real-world readiness, cultivating graduates who are technically strong, collaborative, and prepared to make meaningful contributions across the tech landscape.
Rice emphasizes experiential learning, offering students numerous opportunities to apply their knowledge beyond the classroom:
Research Opportunities: The Department of Computer Science encourages undergraduates to participate in faculty-led research projects, providing hands-on experience in various computing fields.
Internships: Students have a strong track record of securing internships with both global corporations and startups.The Center for Career Development assists in matching students with suitable opportunities through events like the Fall and Spring Career Expos.
Data to Knowledge Lab (D2K): The D2K Lab offers immersive, experiential learning opportunities in data science by connecting students with real-world challenges from companies, community organizations, and researchers.
Student Organizations: Engagement in student organizations fosters collaboration and professional development.These groups host events that enhance problem-solving, coding, networking, and interview skills.
Rice supports students in transitioning from academic life to professional careers through various services:
Career Services: The Center for Career Development offers resources such as counseling, workshops, and job fairs to connect students with potential employers.
On-Campus Recruitment: Career Expos and networking events facilitate direct engagement between students and industry representatives, enhancing employment prospects.
Employability: Graduates of the Computer Science program are well-prepared for careers in software development, data analysis, cybersecurity, and other technology-related fields. Alumni have secured positions at companies like Google, Microsoft, Meta, Amazon, Apple, Oracle, IBM, and Accenture.
By integrating a comprehensive curriculum with practical experiences and robust support services, Rice University's BSCS program prepares students for successful careers in the evolving technology landscape.
SAT/ACT Update: Submitting SAT or ACT scores is recommended but not mandatory for applicants. Official Scores: Must be sent directly from testing organizations. Rice's codes: SAT/TOEFL – 6609; ACT – 4152. For detailed information, refer to Rice University's Office of Admission. English Language Proficiency: Applicants whose first language is not English must demonstrate English proficiency by either: Completing at least two years of full-time study in an English-language curriculum prior to applying. Submitting official scores from one of the following English proficiency tests: MathWeb +1 Rice University CS +1 Test of English as a Foreign Language (TOEFL): Minimum score of 100 on the internet-based test (iBT). International English Language Testing System (IELTS): Minimum score of 7. Rice University Admissions Cambridge English Exams (C1 Advanced or C2 Proficiency): Minimum score of 185. Rice University Admissions Duolingo English Test: Minimum score of 130. Official test scores must be sent directly from the testing organization. Rice's TOEFL code is 6609. Note: The TOEFL iBT Home Edition is accepted, but the TOEFL ITP Plus is not.Recommendations: School Report- Required, Counselor Recommendation- Required, Mid Year Report- Required, Final Report- Required, Teacher Evaluation(s): 2 Required, 0 Optional Other Evaluation(s): 0 Required, 1 Optional. Writing Requirements: Common App personal essay- Required, Writing Supplement- 2 Required Questions (Depending on your answers to some questions you will be required to complete additional writing questions).SAT/ACT Superscoring: Rice considers the highest section scores across multiple test dates for both SAT and ACT. Rice University Admissions Essay Sections: SAT Essay and ACT Writing sections are neither required nor considered.SAT/ACT Score Reporting- Score Reporting: U.S. high school students may self-report test scores; official scores are required upon enrollment. 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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