(State Funded Government Institute and an Associated College of AKTU Lucknow)
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
B.Tech. program in Computer Science & Engineering at RECP is a future-focused program that equips students with strong technical skills and problem-solving abilities in the digital era.
With the rapid growth of emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), Data Science, Cloud Computing, Internet of Things (IoT), and Blockchain, this program provides a solid foundation for innovation and real-world impact. Students gain hands-on experience in programming, data analysis, algorithms, and system design, while also exploring how intelligent systems are transforming everyday life, such as AI in knowledge discovery and virtual assistants, ML in prediction and personalized recommendations, IoT in smart homes and workplaces, and cybersecurity in trade, commerce, and digital banking.
This program prepares students for dynamic careers in technology, research, and entrepreneurship, empowering them to build smart solutions for society and drive progress in the AI-powered world.
The Department of Computer Science and Engineering aims to be a center of excellence in education and research, fostering innovation through next-generation computing technologies such as Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Internet of Things (IoT) and Blockchain. Our vision is to develop technically competent, ethically responsible, and future-ready professionals who will drive digital transformation and build intelligent, sustainable solutions for societal progress.
To deliver a rigorous, future-ready curriculum that integrates theoretical foundations with applied knowledge in areas of computing including intelligent computing, autonomous systems, and data-driven technologies.
M2. PROMOTE RESEARCH AND PROBLEM SOLVINGTo cultivate a research-oriented environment that encourages innovation and addresses real-world challenges through interdisciplinary and applied computing research.
M3. SYNERGY WITH INDUSTRY AND TECHNOLOGY TRANSFERTo establish dynamic collaborations with technology leaders, startups, and R&D organizations for translational research, real-world problem solving, and agile skill development.
M4. CULTIVATE ETHICAL AND ADAPTIVE TECHNOLOGISTSTo produce graduates who are not only technically proficient but also ethically grounded, capable of addressing issues such as algorithmic bias, privacy, digital equity, and sustainable computing.
M5. ACCELERATE INNOVATION FOR SOCIETAL AND GLOBAL IMPACTTo leverage emerging technologies in building resilient, inclusive, and AI-driven digital ecosystems that contribute to sectors such as healthcare, education, smart cities, agriculture, and environmental sustainability.
Programme | Specialization | Intake | Started In |
---|---|---|---|
Bachelor of Technology | Computer Science and Engineering | 60 | 2023 |
Bachelor of Technology |
Computer Science and Engineering (Artificial Intelligence And Machine Learning) |
60 | 2025 (Proposed) |
Bachelor of Technology | Information Technology | 60 | 2025 (Proposed) |