Bachelor of Computer Science (BCS)
Program Overview A comprehensive foundation in theoretical and practical computing, focusing on computer systems, programming, and the transformative potential of AI.
Core Curriculum & Technical Expertise
Key Courses: Data Structures, Algorithms, Software Engineering.
Technical Pillars: Artificial Intelligence, Data Analysis, and Cybersecurity.
Ethical Integration: Mandatory curriculum on social and professional ethics in the tech industry.
Admissions & Prerequisites
Academic Foundation: Strong background in Mathematics (Calculus/Discrete Math).
Testing: SAT or ACT scores required.
Prior Experience: High school-level programming experience expected.
Faculty Spotlight (who teaches it): Department Chair
Lead Expert:Dr. John Smith (Machine Learning & AI).
Experience: 20+ years in academia and industry.
Specializations: Neural Networks, Deep Learning, and Cutting-edge AI Technologies.
Research Impact: Author of multiple papers in top-tier journals; research is integrated directly into the undergraduate course material.
Career & Research Pathways
Primary Paths: Software Development, Cybersecurity Analyst, Data Scientist.
Applied Training: Real-world applications in AI, Internships, and Co-ops.
International Student Requirements
Credentialing: Full evaluation of previous academic credentials for US equivalency.
Language: Proof of English proficiency (TOEFL/IELTS).