BS Computer Science

4 Years On Campus Bachelors Program

Texas Tech University

Program Overview

Texas Tech University's Department of Computer Science offers a Bachelor of Science in Computer Science (BSCS) degree. The program is designed to provide students with a solid foundation in computer science principles, preparing them for diverse careers in technology and related fields.​

Curriculum and Modules:

The BSCS program requires the completion of 126 credit hours, encompassing:​

  • Core Computer Science Courses: Fundamental subjects including data structures, algorithms, computer architecture, software engineering, and operating systems.​

  • Mathematics and Science Courses: Courses such as calculus, discrete mathematics, linear algebra, and natural sciences to support computational methods.​

  • Computer Science Electives: Advanced topics allowing students to explore areas like artificial intelligence, cybersecurity, and database systems.​

  • Capstone Project: A culminating experience where students apply their knowledge to real-world projects.​

For detailed degree requirements, please refer to TTU's Computer Science B.S. degree planner.

Program Ranking:

While specific rankings may vary across publications, TTU's Computer Science program is recognized for its commitment to providing a comprehensive education that blends theoretical knowledge with practical experience.​

Experiential Learning (Research, Projects, Internships etc.)

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

  • Internships: Students are encouraged to pursue internships to gain practical experience and apply their classroom knowledge in real-world settings. TTU's High-Performance Computing Center offers internships where students can work with the latest technologies and gain expertise in areas like IT support, network security, database management, software development, and big data analysis. 

  • Research Opportunities: Undergraduates have access to research experiences across various areas, collaborating with faculty on cutting-edge topics. The Department of Computer Science hosts research centers such as the Center for the Science and Engineering of Cyber Security, focusing on principles of cybersecurity and system protection. 

  • Student Organizations: Engagement in student organizations fosters collaboration and professional development.The Department of Computer Science supports various clubs and organizations that cater to diverse interests within the field.​

Progression & Future Opportunities

TTU 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.​

  • On-Campus Recruitment: TTU hosts career fairs and networking events, facilitating direct engagement between students and industry representatives.​

  • 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, Texas Tech University's B.S. in Computer Science program prepares students for successful careers in the ever-evolving technology landscape.​

Program Key Stats

$24,451
$ 75
Rolling


63 %
No
Yes

Eligibility Criteria

BBB - ABB
3.0 - 3
26 - 30
75 - 80

1090 - 1270
22 - 28
6.5
79

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

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