BS in Computer Science

4 Years On Campus Bachelors Program

Tufts University

Program Overview

Tufts University offers a Bachelor of Science in Computer Science through its School of Engineering. The program is designed to provide students with a strong foundation in computing principles, encompassing both theoretical and practical aspects. Students engage in a comprehensive curriculum that prepares them for diverse careers in technology and related fields.​

 

Curriculum and Modules

The B.S. in Computer Science program at Tufts includes coursework in:​

  • Core Computer Science Courses: Fundamental subjects covering programming, algorithms, data structures, computer systems, and software engineering.​

  • Mathematics and Science Requirements: Courses in calculus, linear algebra, and natural sciences to build a solid analytical foundation.​

  • Technical Electives: Opportunities to explore advanced topics and specialized areas within computer science, allowing students to tailor their education to their interests.​

For detailed degree requirements and sample course plans, students are encouraged to consult Tufts University's academic catalog or the Department of Computer Science's official website.​

Experiential Learning (Research, Projects, Internships etc.)

Tufts emphasizes experiential learning, offering students numerous opportunities to apply their knowledge beyond the classroom:​

  • Undergraduate Research: Students are encouraged to participate in research projects, collaborating with faculty on cutting-edge topics to apply theoretical knowledge to practical 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.​

 

Progression & Future Opportunities

Tufts 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: Tufts 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 program 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 a comprehensive curriculum with practical experiences and robust support services, Tufts University's B.S. in Computer Science program prepares students for successful careers in the ever-evolving technology landscape.​

Program Key Stats

$68,946
$ 75
Aug Intake : RD 6th Jan EA/ED 4th Nov


14 %
No
Yes

Eligibility Criteria

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

1460 - 1550
33 - 35
7.0
100

Additional Information & Requirements

Career Options

  • Career Pathway:   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
  •  

Book Free Session with Our Admission Experts

Admission Experts