The B.Tech (Computer Science and Engineering) program at the Faculty of Engineering and Technology, GLS University, is designed to provide a strong foundation in computing principles, algorithms, and system design. The curriculum progressively develops computational thinking, programming proficiency, and analytical rigor from the early semesters. A practice-oriented teaching–learning paradigm ensures that theoretical concepts are consistently reinforced through laboratories, projects, and real-world problem-solving. Students gain deep exposure to core areas such as programming, data structures, databases, operating systems, and computer networks, forming a robust technical base. Building on this foundation, the program integrates emerging and specialized tracks including Artificial Intelligence and Machine Learning, Cybersecurity, Full Stack Development, Data Science, and Cloud Technologies. Outcome-based education aligns learning objectives, assessment, and skill development with professional and industry expectations. Students apply knowledge through mini-projects, internships, hackathons, and collaborative assignments that simulate real engineering practice. Ethical responsibility, secure computing practices, and professional conduct are embedded throughout the curriculum. Faculty mentorship and structured learning pathways support continuous intellectual growth and adaptability to technological change. The program prepares students for advanced studies, research, and impactful careers in a global and rapidly evolving technology ecosystem.
The AI & ML specialization focuses on building intelligent systems that learn from data and adapt to complex environments. Students develop strong foundations in algorithms, statistics, and computational intelligence. The curriculum emphasizes practical implementation of machine learning models, deep learning, and data-driven decision systems. Hands-on projects, labs, and real-world datasets enable applied learning. Graduates are prepared for advanced roles in AI development, analytics, and research-driven innovation.
The Cyber Security specialization addresses the growing need for secure and resilient digital systems. Students gain in-depth understanding of network security, cryptography, secure software design, and cyber risk management. The program emphasizes hands-on learning through security labs, simulations, and threat analysis. Ethical hacking, incident response, and compliance frameworks are integral components. Graduates are equipped to protect critical systems and lead security initiatives in global organizations.
The Emerging Technologies specialization equips students to explore and apply next-generation computing paradigms shaping the digital future. It introduces domains such as Cloud Computing, Internet of Things (IoT), Blockchain, Edge Computing, and Intelligent Automation, with strong emphasis on practical implementation. Students learn to design scalable systems, integrate connected devices, and build technology solutions aligned with modern industry ecosystems.The specialization is delivered through hands-on labs, project-based learning, and real-world use cases. Graduates develop adaptability and innovation capability to work across evolving technology roles and interdisciplinary applications.
The Full Stack Development specialization prepares students to design and build complete web and software applications. It covers front-end technologies, back-end systems, databases, APIs, and cloud-based deployment. Students gain practical experience through application development, version control, and agile practices. The curriculum emphasizes scalability, performance, and secure application design. Graduates are industry-ready developers capable of delivering end-to-end digital solutions.
4 years
The admission to the B.Tech. programme is through the centralized admission process for professional courses through the Government of Gujarat appointed admission committee (ACPC).
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