BS Computer Science

4 Years On Campus Bachelors Program

Case Western Reserve University

Program Overview

Offered through the Case School of Engineering, the Bachelor of Science in Computer Science at Case Western Reserve University provides a well-rounded education in both the theoretical foundations and practical applications of computing. The program is designed to prepare students for careers at the forefront of technological innovation—equipping them with the knowledge and skills to thrive in an increasingly digital world.

Students gain expertise in key areas such as software engineeringcomputer securityartificial intelligence, and more, setting them up for success in a variety of tech-driven industries.

 

Curriculum Highlights

The program features a diverse and forward-thinking curriculum that includes:

  • Algorithms
    Learn to design and analyze step-by-step computational procedures that form the backbone of modern software and systems.

  • Data Science
    Gain hands-on experience in analyzing and interpreting large, complex data sets using industry-standard tools and techniques.

  • Artificial Intelligence
    Explore the development of intelligent systems, including machine learning models and autonomous agents.

In addition to classroom instruction, students benefit from hands-on learning and access to cutting-edge research facilities.

 

State-of-the-Art Facilities

Students have the opportunity to apply what they learn in real-world settings, including the Virtual Worlds Lab—a high-tech space where they can explore human-machine interaction, virtual environments, and emerging technologies. The lab supports interdisciplinary research across sectors like energy, transportation, and manufacturing, offering students a rich, collaborative learning environment.

 

Case Western’s B.S. in Computer Science program blends strong academic training with practical experience, preparing graduates to become innovators and leaders in the tech world.

 

Experiential Learning (Research, Projects, Internships etc.)

CWRU emphasizes experiential learning through:​ 

  • Student Organizations: Opportunities to join groups like the Association for Computing Machinery and Girls Who Code, fostering collaboration and professional development.​

  • Innovation Centers: Access to Sears think[box], a 50,000-square-foot facility for prototyping ideas and developing business ventures or nonprofit organizations. 

     

 

Progression & Future Opportunities

Graduates of the Computer Science program at CWRU are well-prepared for careers in various industries, including roles such as business analysts, software engineers, web developers, and information technology specialists. The program's comprehensive curriculum and emphasis on practical experience equip students with the skills necessary to excel in the evolving technology landscape. 

By integrating rigorous academic coursework with hands-on learning opportunities, Case Western Reserve University's B.S. in Computer Science program prepares students for successful careers in the ever-changing field of technology.​

Program Key Stats

$66,020
$ 75

Jan Intake : 15th NovAug Intake : 15th Jan (RD) , 1st Nov (EA / ED)


36 %
No
Yes

Eligibility Criteria

ABB - AAA
3.0 - 3
36 - 40
85 - 90

1420 - 1530
32 - 35
7.0
90

Additional Information & Requirements

Career Options

  • 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

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