B.Tech. Computer Science Engineering (Admission Open 2026)

With the increase in number of Smartphones, social media and micro-payments, people are exposed to real-time treats in the virtual/cyber space. There are intruders, hackers, identity thieves and online bullies who make the life of innocent citizens miserable, threaten the security of establishments, and even risk national security. The B.Tech. CSE with Specialization in Cyber Security program trains a student to not only deal with such problems but also trains them to design secure systems, prevent and defend against attacks, and catch cyber criminals if they attack.

In most daily use Computer Software/mobile Apps/Website we see Artificial Intelligence (AI) and Machine Learning (ML) in use. The facial recognition on your phone, automated financial advisor who tells you how much and where to save your income, the recommendation system on Online shopping/Video Streaming/Food Delivery Apps, the Ticket confirmation probability on IRCTC, etc. all use AI and ML. The usage of AI and ML are much more behind-the-scenes than they are in front of us and are growing rapidly. AI and ML experts are collaborating with Doctors for better diagnosis, with pharmacists to formulate better drugs, with scientists to understand the behaviour of climate, with historians to recreate the historical times.

These are THE future of technology. No matter what field you choose, you will come across extensive use of software and computers in them. It is one thing to know how to use them, and it is a different thing to know how to build them. Computer Scientists get to work with the most varied set of people across different domains. Because of this they gain deep insights into different fields which help them excel in those fields as well.

There are plenty of job opportunities for CSE/CS-CS/CSE-AI+ML professionals in the country and abroad, in government organizations to private ones. Most importantly this is one field where you can create your own start-up/business with a brilliant idea backed by a great execution plan and a laptop!

During the four year course of B.Tech in Food Technology candidates study various areas such as:

Close to 40% of the time involves practical sessions through Laboratory practical, Summer Industrial trainings (30-45 days), Industrial Project Internships (4-6 months), Industrial visits, workshops, conferences etc.

The Department of Computer Science provides knowledge and training in the field of CSE/CSE-CS/CSE-AI+ML, to meet the requirements of technical manpower at various levels by implementing the concepts of modular systems in technical education. Salient Features of the Department are:

Yes, following are the cutting edge laboratories available in Department.

The major IT Companies such as TCS, Amazon, Microsoft, Infosys, Wipro, HCL, Capgemini, Cognizant, Intecons, Adobe, Google, Flipkart, GoIbibo, Bank of America-ML, Deutche Bank, etc. have students from JNU at various functional and managerial levels.

Choice based credit system. (Semester wise pattern)

Yes, all the faculty members are highly qualified with rich Industry and academic experienced in their respective fields.

Yes, class wise teacher are allotted to mentor and advise students under mentor-mentee program

Yes, the Department of CSE has a thriving Alumni network that is very active and supports in better placements opportunities. We also organize Alumni speaker sessions, industrial tours and trainings etc.

NO. Anyone can take direct admission on the basis of JNU entrance exam JNU-JEST 2020. This test is optional it you have taken JEE.

No. PCM is mandatory.

The Department has the following major Labs. These Labs have Computer Systems with the latest Configurations and printing facility. Main labs are:

• Cloud Computing and Virtualization Lab
• Cyber Security Lab
• Software Engineering and CASE Tools Lab
• Applied Statistical Analysis Lab
• IOT Lab
• SAP Lab
• Advanced DBMS Lab
• Advanced JAVA Lab
• Artificial Intelligence & Machine Learning Lab
• Computer programming Lab
• Research Lab/Project Lab

Students can do specialized courses in Cloud Computing, Cyber Security, Graphics and Gaming, Virtualization, Big Data, Internet of Things (IoT), Robotics, Wireless communication, Speech Processing, Machine Learning, Computer Vision, Pattern Recognition, VLSI, Embedded Systems, Soft Computing, Algorithms, DBMS, Computer Architecture, Artificial Intelligence, Software Engineering, Simulation &Modeling, entrepreneurship etc.

• Student-oriented approaches to curriculum design and teaching.
• Problem/inquiry/research-based education.
• Well-planned and well-designed Rubrics (Formative assessment).
• NPTEL Lectures: To promote self-learning and to share knowledge among students.
• Virtual Lab: Exposure of Programming & Lab practices.
• Take up Projects: To prepare student to develop live projects with their own.
• Content beyond Syllabus: To meet-out current Industry demand and fill the gap.
• Course of actions and implementation on Stakeholders Feedback
• Major focus is to prepare the students for Product based Companies.
• Profile based training for Final Year Students
• Special Technical training for eligible students in placement.
• Coding Culture: Coding Competitions for CSE Students (Coding Culture): In today’s rapidly changing environment, programming skills are essential tools that can be utilized and incorporated into various fields and domains. Hence, it becomes absolutely essential to equip young minds with such skills.
• Roadmap to becoming a Successful Developer/Software Engg/ Front -End Developer/ Back-End Developer/ Data Scientist/ Business Analyst/ Cloud Architect.

• Curriculum is based on the Industry needs and completely practical oriented.
• Curriculum is Dynamic, Fully Articulated, Realistic and Student oriented.
• Coding and passion for learning new algorithms and developing new ones.
• Course contents are multidisciplinary in nature and future oriented.

Cyber security is “a computing-based discipline involving technology, people, information, and processes to enable assured operations in the context of adversaries.” 

Data Science is “a set of fundamental principles that guide the extraction of knowledge from data.”