About the Programme
The B. Tech Computer Science and Engineering is a 4-year, 8 semester Undergraduate program that equips students with a strong foundation in both theoretical and practical aspects of Computer Science and Engineering. The department boasts a rich knowledge pool of faculty who are highly skilled in various fields like Artificial Intelligence, Machine learning, Cryptography, Data mining, Big Data, Digital Image Processing, Cloud Computing, Industry 4.0, Internet of Things etc. This course emphasizes on developing necessary skills for students to sustain the industrial expectation, in pursuit of excellence by keeping high personal and professional values and ethics.
Cutting-Edge Technical Foundation
The program offers a robust curriculum covering core computing principles including Data Structures, Algorithms, and Operating Systems. Students gain expertise in high-demand technologies such as Artificial Intelligence, Cloud Computing, and Full-Stack Development to solve complex real-world problems.
Internship Exposure
Students engage in significant industrial training, including the opportunity for paid internships as early as the second year. The curriculum facilitates a semester-long internship in the final year, ensuring graduates possess nearly a year of hands-on professional experience before entering the workforce.
Socially Responsible Engineering
Focuses on using technology to address societal challenges. Students engage in projects that apply computational thinking to community problems, ensuring that innovation serves the greater and adheres to the highest ethical standards.
Research & Industry Integration
The department maintains strong partnerships with industry leaders like CISCO, Samsung, AWS, CDAC, Tech Mahindra, Red Hat and Oracle etc. This collaboration provides students with access to specialized labs, industry-vetted workshops, and research opportunities in advanced domains like Cryptography, Deep Learning, and Internet of Things.
Why Choose This Programme?
Future-Focused Curriculum
The programme integrates AI, cloud computing, cybersecurity, data science and emerging technologies into the learning journey.
Strong Industry Exposure
Students engage in internships, industry projects, workshops and certification programs for practical learning.
Research-Oriented Learning
Opportunities to participate in research projects, conferences, technical paper publications, workshops and Hackathons.
Advanced Infrastructure
Access to modern computing laboratories, AI-enabled systems and specialized research facilities.
Global Academic Collaborations
International partnerships provide opportunities for exchange programs, collaborative learning and global exposure.
Excellent Career Opportunities
Graduates are equipped for careers in software engineering, AI, cybersecurity, analytics, cloud technologies and research domains.
Choose Your Track
Area of Specialization
Develop intelligent technologies that can learn, automate processes, and solve complex real-world challenges using advanced AI techniques. Core Technologies – Build strong foundations in domain-specific tools, frameworks, and system design. Industry Applications – Explore real-world implementations across healthcare, business, automation, and smart systems. Research & Innovation – Work on emerging technologies, research projects, and future-focused innovations.
Transform large-scale data into actionable insights through analytics, visualization, and predictive modeling techniques. Core Technologies – Learn data analytics, statistical modeling, and modern data processing frameworks. Industry Applications – Apply data-driven solutions in business intelligence, finance, healthcare, and decision-making systems. Research & Innovation – Explore advanced analytics, AI-driven insights, and research-oriented data solutions.
Design connected and scalable digital ecosystems powered by intelligent devices, cloud platforms, and emerging communication technologies. Core Technologies – Gain expertise in IoT systems, cloud infrastructure, networking, and quantum computing concepts. Industry Applications – Develop smart solutions for automation, communication, monitoring, and digital transformation. Research & Innovation – Explore futuristic technologies in intelligent networks, distributed systems, and next-generation computing.
Enable machines to analyze and understand visual information using image processing and AI-driven vision technologies. Core Technologies – Learn image processing, computer vision algorithms, and intelligent visual computing methods. Industry Applications – Build solutions for surveillance, healthcare imaging, robotics, and autonomous systems. Research & Innovation – Work on advanced visual AI applications, deep learning models, and intelligent imaging research.
Protect digital systems and sensitive information through secure computing, ethical hacking, and cyber defense strategies. Core Technologies – Develop expertise in cybersecurity frameworks, cryptography, ethical hacking, and network security. Industry Applications – Secure enterprise systems, cloud platforms, and digital infrastructures against cyber threats. Research & Innovation – Explore emerging security technologies, threat intelligence, and advanced forensic investigations.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Sem 1
Semester 2 — Sem 2
Semester 3 — Sem 3
Semester 4 — Sem 4
Semester 5 — Sem 5
Semester 6 — Sem 6
Trimester 7 — Sem 7
Semester 8 — Sem 8
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Build strong foundations in AI tools, frameworks, and intelligent computing systems.
Explore real-world AI applications across industries and smart technologies.
Work on future-focused AI innovations and intelligent research solutions.
Learn modern analytical tools and data-driven computing techniques.
Apply analytics solutions for strategic decision-making and industrial needs.
Explore advanced data science innovations and research-oriented solutions.
Develop expertise in connected systems and scalable computing technologies.
Build intelligent and scalable solutions for real-world connected environments.
Explore futuristic innovations in networking and next-generation technologies.
Build strong foundations in intelligent visual computing technologies.
Develop vision-based AI solutions for industrial and societal applications.
Work on cutting-edge visual intelligence and AI research technologies
Develop expertise in cybersecurity tools, frameworks, and digital protection.
Secure modern digital infrastructures and organizational systems.
Explore emerging cybersecurity technologies and forensic innovations.
Message from the HOD
Bangalore Kengeri Campus
Welcome to the Department of Computer Science and Engineering at CHRIST (Deemed to be University). Our department is an active, innovative, and dedicated educational platform that focuses on the development of the new generation technocrats.
In today’s ever changing world the role of computer science and engineering is crucial in introducing advancements in various fields. At CHRIST University we don’t just teach technical skills but we encourage critical thinking, innovation and ethical skills. With this in mind, our curriculum has been well developed to meet these new technologies like Artificial Intelligence, Data Scienc
Message from the HOD
Welcome to the Department of Computer Science and Engineering at CHRIST (Deemed to be University). Our department is an active, innovative, and dedicated educational platform that focuses on the development of the new generation technocrats.
In today’s ever changing world the role of computer science and engineering is crucial in introducing advancements in various fields. At CHRIST University we don’t just teach technical skills but we encourage critical thinking, innovation and ethical skills. With this in mind, our curriculum has been well developed to meet these new technologies like Artificial Intelligence, Data Science, Cyber security, Cloud computing, Computer Vision, AR/VR and the rest among being keenly incorporated in the market to produce key human resource solutions. To make benchmarking among community, the department employing and offering the state of the art laboratories, group and industry based works, internships and real time problem solving to inculcate practical knowledge in our students. The department is also glad to have well qualified faculty members with academic experience as well as industrial experience. All of them are very passionate about their roles with students, academic research, and technology.
I ensure that students utilize any chance they have in our department including achieving the best grades, engaging in research or still in any co-curricular activity. Despite this, the growth potential in this line of work is enormous, and with effort you can go far. Together let us build a community of innovation, knowledge and society.
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications for the 2026 batch are open. Deadline: 07-Jun-2026.