BS Computer Science

4 Years On Campus Bachelors Program

University of Alabama

Program Overview

The University of Alabama's Department of Computer Science offers a Bachelor of Science in Computer Science, designed to provide students with a comprehensive understanding of computing principles. The program emphasizes both theoretical foundations and practical applications, preparing graduates for diverse careers in technology, including roles such as software developers, software engineers, and security analysts. ​

Curriculum and Modules

The B.S. in Computer Science curriculum encompasses:​

  • Core Computer Science Courses: Fundamental subjects including Programming I and II, Data Structures, Software Design and Engineering, Computer Organization, Operating Systems, and Programming Languages.​

  • Mathematics and Science Requirements: Courses such as Calculus I and II, Linear Algebra, and two approved natural science electives with corresponding labs.​

  • Advanced Electives: Students select from 400-level computer science electives, allowing for specialization in areas like artificial intelligence, computer networks, and high-performance computing.

  • Capstone Experience: The program culminates in a senior design project, providing hands-on experience in developing and implementing computing solutions.​

For detailed degree requirements and sample course plans, please refer to UA's academic catalog. ​

Experiential Learning (Research, Projects, Internships etc.)

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

  • Undergraduate Research: Students are encouraged to engage in research projects, collaborating with faculty on various topics to apply theoretical knowledge to real-world problems.​

  • 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

UA 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: UA 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, The University of Alabama's B.S. in Computer Science program prepares students for successful careers in the evolving technology landscape.​

Program Key Stats

$33,372
$ 40
Rolling


53 %
No
Yes

Eligibility Criteria

BBB - AAB
3.0 - 3.5
28 - 32
80 - 85

1170 - 1400
26 - 30
6.0
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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