About School of Computer Science Engineering

The School of Computer Science and Engineering at Chandigarh University, Uttar Pradesh, is a beacon of innovation that fosters technological excellence with its quality academics and lucrative opportunities for career growth. The innovative academic model for the Data Science, Cyber Security, Information Technology, Computer Science & Engineering, and Artificial Intelligence & Machine Learning programs focuses on hands-on learning via AI-driven state-of-the-art facilities and experiential learning opportunities.
The comprehensive curricula designed by top academicians and industry professionals ensure students are proficient in foundational and emerging domains. Industry experts and highly experienced faculty members enrich the academic atmosphere and bridge the gap between industry and academia, inspiring students to push the boundaries of technology.

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School of Computer Science Engineering
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B.Tech- Computer Science and Engineering
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B.Tech- Computer Science and Engineering (Cloud computing) with Google
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B.Tech - CSE with AI & ML (Microsoft)
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B.Tech - CSE with Data Science (Google)
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B.Tech - CSE Cyber Security (Quick Heal)
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B.Tech- Information Technology
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M.Tech - CSE with AI & ML (SAS)
Teaching Pedagogies
  • Strategic Course of Learning

    Students gain an immersive classroom experience with engaging lectures through a storytelling approach, expert talks, and industry case studies. AI-embedded teaching and flipped classrooms create a learner-centred environment that develops cognitive skills, encourages active engagement, and enhances students' understanding of concepts.

  • AI-Integrated Advanced Laboratories and Facilities

    The strategically designed state-of-the-art laboratories are furnished with the latest equipment for experimentation, research, and innovation. This experimental exploration space allows learning through AI tools and interactive simulations serving both technical purposes and creativity.

  • Self-Paced Learning with Certifications

    Students draw knowledge from experts around the world through offline certifications and MOOCs (Massive Open Online Courses). This promotes a structured learning approach for all learners' preferences, improving their skills, enhancing their knowledge, and acquiring certificates recognised by industries across the globe.

  • Impact-Oriented Projects

    The opportunity to work collaboratively on a project develops real-world problem-solving skills, fosters creativity, and builds practical experience. Students explore complex topics, working on diverse live projects, entrepreneurial ideas, and capstone projects, while making valuable professional networks and gaining industry insights.

  • Exclusive Internship Opportunities

    Being in a hub of industry immersion opportunities, students get a platform that encourages and leads to multiple internships as a part of the program. They learn through corporate internships, social internships, and research internships, gaining practical skills and valuable exposure to professional environments.

  • Interactive Learning Activities

    Students get the chance to develop their analytical and leadership abilities with intellectual engagements in activity-based learning approaches. This dynamic way of skill development covers group discussions, debates, social immersion activities, critical thinking exercises, seminars, role plays, and peer learning.

Assessment Practices

Hands-On Projects

Projects that will require practical application of engineering principles, promoting critical thinking and real-world problem-solving skills.

Competitions and Challenges

Engineering challenges and competitions that will inspire innovation, teamwork, and practical application of learned concepts.

Industry Partnerships for Assessment

Assessments based on real industry problems will provide students with valuable real-world experience.

Peer Assessment

Peer assessment in project work to cultivate a culture of constructive feedback, critical evaluation, and collaborative learning.

Reflective Learning Logs

Learning logs where students will reflect on their experiences with projects, labs, and lectures, fostering self-assessment and personal growth.

Proposed Recruiters

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Research Eminence

The Department of Computer Science and Engineering, with a strong focus on Artificial Intelligence, offers state-of-the-art research facilities equipped with cutting-edge tools and technologies to foster innovation and discovery. Our advanced infrastructure empowers students and researchers to push the boundaries of knowledge, addressing real-world challenges through both fundamental research and industry-driven AI-driven projects. By cultivating a dynamic and collaborative environment, we nurture creativity and drive the development of groundbreaking solutions, ultimately shaping future-ready professionals and leaders in AI and computing.

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VR/AR Development Lab

Equipped with advanced hardware and software to support the development and testing of virtual and augmented reality applications. Featuring VR headsets, AR glasses, motion capture systems, 3D modeling tools, and game engines, these labs serve diverse fields, including game development, education, architecture, healthcare, and research. They foster innovation by enabling the creation of immersive and interactive experiences.

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IoT and Robotics Lab

Equipped with microcontrollers, sensors, actuators, and robots for developing and testing IoT and robotics applications. It supports innovations in smart systems, automation, and autonomous robotics across various industries.

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Cybersecurity Lab

Configured with advanced tools for developing and testing security solutions, including network simulations, intrusion detection, and ethical hacking. It enables individuals and organizations to safeguard digital assets from threats.

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Data Science Lab

Specialized facility with high-performance computing, data visualization, and AI tools for developing data-driven solutions. It supports predictive analytics, machine learning, and data mining to extract valuable insights from large datasets.

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Blockchain Technology Lab

Outfitted with cutting-edge tools for developing and testing decentralized applications and secure digital transactions, this facility fosters research and innovation in blockchain technology, ensuring transparency, security, and immutability across diverse systems.

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AI and Machine Learning Lab

A cutting-edge facility equipped with high-performance computing, GPUs, and advanced frameworks like TensorFlow and PyTorch, dedicated to the development and evaluation of AI models. It enables advancements in NLP, computer vision, and reinforcement learning, driving innovation in intelligent systems.

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Cloud Computing Lab

A state-of-the-art facility featuring high-performance computing, GPUs, and cloud platforms such as AWS, Azure, and GCP, designed to support the development, training, and deployment of large-scale AI models with scalable and efficient cloud-based solutions.


CU UP Computer Science & Engineering Edge

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Project Based Learning

Project-Based Learning immerses students in real-world computing projects, promoting collaboration within interdisciplinary teams. By integrating knowledge across computer science and engineering, students develop innovative solutions to complex challenges, strengthening their problem-solving abilities and practical expertise.

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Flipped Classroom

Core computing concepts like algorithms, programming paradigms, and data structures are learned asynchronously, maximizing in-class applied learning. Collaborative coding, algorithm optimization, and hands-on implementation enhance problem-solving and software development skills.

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Interdisciplinary Curriculum

The program blends computing principles with software development, AI, cybersecurity, and emerging technologies, emphasizing real-world problem-solving. This interdisciplinary approach fosters adaptability, innovation, and a broad technological perspective.

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Industry-Integrated Learning

Engage with leading industry partners through immersive internships, live projects, and expert-led sessions, gaining hands-on experience and insights into cutting-edge practices in computer science and engineering.

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Sustainable Engineering Focus

Incorporate sustainability principles into computing solutions, projects, and case studies, ensuring environmentally responsible and ethically sound advancements in computer science and engineering.

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Entrepreneurship Incubator

Gain access to resources, mentorship, and support to launch technology-driven ventures, fostering an entrepreneurial mindset and practical business acumen in computer science and engineering.

How to Apply?

Step 1

Sign Up

Sign up or Register for CUCET by providing basic details (Name, Email ID, Mobile No., State, Gender, and Password). Your Email ID will serve as your Username for the portal, while you will set your password upon registration.

After successful registration, you will receive a confirmation message on your registered contact number and email. Use the username and password to log in to your CUCET account.

Step 2

Apply for CUCET (Eligibility and Scholarship Test)

After successful registration, you will receive a confirmation message on your registered contact number and email. Use the username and password to log in to your CUCET account.

Step 3

Admission

You become eligible for admission into Chandigarh University after clearing the CUCET examination. Following your attempt at CUCET, the result will shortly be intimated, based on which you can submit your application for admission and avail merit-based scholarship.

Shape Your Future with
Chandigarh University, Uttar Pradesh!

Join our world-class programs designed to inspire innovation and foster excellence. With a focus on holistic development, we equip you with the skills to excel in your chosen field and lead the way in a dynamic world.

India’s No.1 Private University Now in Uttar Pradesh

Join the Futuristic Campus with Experiential Education Model to turn your dreams into Reality

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World Class Education

A transformative learning experience that encourages critical thinking and innovation, equipping you with future-ready skills and career competence.

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AI-Enabled Campus

The power of AI is harnessed to its full potential to enhance traditional learning pedagogy for you and create a futuristic model of education.

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Eco-Aware

The campus harmoniously brings together eco-friendly initiatives, energy-efficient building, and green spaces, making it a testament to sustainability.