Nurturing globally competent computer professionals through technical excellence, innovative research and strong industry partnerships since 2002.
Established in 2002, the Department of Computer Science and Engineering has been consistently delivering quality technical education, nurturing skilled professionals and innovators to meet the evolving demands of the modern global digital landscape. The department offers the B.Tech in Computer Science and Engineering program with a strong focus on academic excellence, technical competency, innovation, and industry readiness. Students are offered opportunities to pursue Honors specializations in emerging technology areas such as Artificial Intelligence, Machine Learning, Cyber Security, Blockchain, IoT, etc., and Minor degree programs in interdisciplinary domains including Robotics, Electronics, and other fields.
The department also offers an interdisciplinary M.Tech in Data Sciences (Regular and Working Professionals) since 2020, one of the most sought-after specializations in the modern technology domain. The program is designed to provide advanced expertise in data-driven technologies, artificial intelligence, analytics, visualization, and emerging research areas through internships, live sessions by industry experts, and project-based learning, helping students advance their career prospects in industry and research.
Both programs are approved by AICTE and affiliated with KTU, providing advanced knowledge and research opportunities in cutting-edge technologies. The B.Tech program is NBA Accredited since 2017 and has been reaccredited twice, in 2020 and 2023, extending upto 2025-’26, reflecting the department’s commitment to academic excellence, continuous improvement, and outcome-based education.
The department is equipped with excellent infrastructure facilities including:
The department provides continuous placement-oriented skill training from the first year onwards, focusing on aptitude, programming, communication, problem-solving, and professional development to enhance students’ career readiness. Holistic student growth is further strengthened through active participation in professional societies and technical communities such as IEEE, TinkerHub, etc., along with conferences, technical fests, bootcamps, hackathons, and collaborative project development activities, promoting peer learning and leadership. The department also maintains strong industry collaborations and MoUs with reputed industries and academic institutions, creating opportunities for internships, training, research, scholarly publications, and industry interaction. These initiatives cultivate teamwork, creativity, entrepreneurship, lifelong learning, industry exposure, and a strong culture of knowledge sharing among students.
The Department takes pride in being the nurturing ground for numerous young entrepreneurs who have gone on to achieve remarkable success and inspire future generations of students. Our strong alumni network serves as a testament to the quality of education and professional development fostered by the department. Today, our alumni contribute significantly to the global IT workforce and hold key positions in leading multinational organizations such as IBM, TCS, Infosys, Cognizant, Amazon, Accenture, Cisco, Deloitte, H&R Block, HP, UST, IBS Software, Wipro, HCL Technologies, and many other reputed companies worldwide.
A progressive teaching-learning environment is fostered through a team of highly qualified, competent, and committed faculty members with expertise in both academia and industry. Faculty members actively engage in advanced research and innovation in emerging areas such as Artificial Intelligence, Internet of Things (IoT), Blockchain, Data Science, Data Analytics, Machine Learning, and Deep Learning.
With strong industry collaborations, value-added training programs, outcome-based education, research culture, and a vibrant technical ecosystem, the department continues to empower students to become skilled professionals, innovators, researchers, and responsible contributors to society and the rapidly evolving digital world.
The B.Tech in Computer Science and Engineering, designed by APJ Abdul Kalam Technological University (KTU), provides students with a strong academic foundation in Engineering, Mathematics, and core areas of Computer Science, along with emerging technologies, through a balanced blend of theory, laboratory practice, seminars, internships, project-based learning, and industry-linked electives.
The program offers a well-structured combination of foundational sciences, engineering principles, professional core subjects, humanities, management studies, and emerging technology domains to ensure the holistic development of students. The curriculum is carefully structured to equip students with strong foundational knowledge, technical expertise, analytical thinking, and problem-solving skills required to excel in the rapidly evolving technology industry.
Core subjects include C Programming, Data Structures and Algorithms, Digital Systems, Operating Systems, Computer Architecture, Object Oriented Programming, Database Management Systems, Computer Networks, Software Engineering, Compiler Design, Artificial Intelligence, Web Technologies, Cyber Security, etc. The program also covers advanced domains such as Blockchain & Cryptocurrencies, Data Science, Internet of Things, Digital Forensics, Computer Vision, Natural Language Processing, Quantum Computing, Prompt Engineering, Game Theory, etc., enabling students to stay aligned with evolving technological trends.
The curriculum strongly emphasizes practical and experiential learning through advanced laboratory sessions, project-based courses, socially relevant projects, and skill enhancement programs that bridge the gap between academia and industry. Students receive hands-on training in technologies such as C Programming, Python Programming, Java Programming, Data Structures, Operating Systems, DBMS, Networking, Machine Learning, and System Software. Design & Development Projects enhance innovation, problem-solving ability, teamwork, and practical exposure by addressing real-world and socially relevant challenges.
Humanities and Management Courses such as Life Skills, Professional Communication, Engineering Ethics, Sustainable Development, Design Thinking, Project Management, Business Communication, and Organizational Behavior help students develop communication, leadership, ethical, managerial, entrepreneurial, and interpersonal skills required for multidisciplinary and global professional environments.
(Regular / Working Professionals)
The M.Tech in Computer Science & Engineering (Data Science) is a specialized postgraduate program designed to provide advanced knowledge, research exposure, and industry-focused training in modern data-driven technologies. The program equips students and working professionals with skills required to address complex real-world challenges using data science methodologies and intelligent computing techniques. The Working Professionals program further provides flexibility for industry practitioners to enhance their expertise and advance their careers while continuing their professional commitments.
The curriculum offers advanced courses in Mathematical Modeling, Data Analytics, Data Preprocessing & Engineering, Machine Learning, Deep Learning, Big Data Technologies, Data Visualization, Business Intelligence, and related emerging domains. The program also emphasizes practical learning through industry-collaborated elective, laboratories, internships, MOOC courses, and project work, enabling students to gain expertise aligned with current industry and research requirements.
A distinctive highlight of the program is the industry-elective, “Introduction to Big Data Analytics and Data Engineering,” offered in collaboration with Core Cognitics Ltd., Cyberpark, Kozhikkode.
Designed to meet the growing global demand for skilled data professionals, the program prepares graduates for diverse career opportunities such as: Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Developer, AI and Analytics Consultant, Researcher, and Academician.
