Program Highlights

  • Industry-Ready Curriculum powered by industry partners
  • AI Enabled Teaching Learning Governance
  • AI Applications Courses are Mandatory
  • Apprentice in Final Year Linked to Job
  • Project Based Learning
  • Scope for Higher Education & Entrepreneurship Development
  • Full-Stack: Frontend + backend + API design + testing
  • AI-Ready CSE: Data + ML + GenAI Exposure for All Students
  • Cybersecurity, Privacy & Secure Coding as a Mandatory Focus
  • Cloud Computing + Scalable Systems (Future Internet Skills)
  • India-Centric Innovation
  • Internship + Capstone + Portfolio = Placement-Ready Outcomes

Introduction

Future-Ready Program: A cutting-edge 4-year engineering degree that blends core computer science with advanced AI, machine learning, data science, and automation technologies.

Industry-Aligned Learning: Designed as per UGC and NEP norms with hands-on labs, industry certifications, internships, and real-world projects to make students job-ready.

High-Growth Career Pathways: Opens opportunities in AI engineering, data science, machine learning, robotics, cloud computing, cybersecurity, and emerging tech domains.

Innovation-Driven Training: Empowers students to build intelligent systems and solutions for sectors like healthcare, finance, smart cities, automotive, and next-generation digital industries.

Tools Covered

Programming & Development:
Python, Java, C / C++, HTML5, CSS3, JavaScript (ES6+), TypeScript, React.js, Next.js, Tailwind CSS, Bootstrap, Material UI, Ant Design, ShadCN UI, Redux Toolkit, Zustand

AI & Machine Learning Tools:
Scikit-Learn, TensorFlow, Keras, PyTorch

Data Science & Visualization:
NumPy, Pandas, Matplotlib, Seaborn, Chart.js, Recharts

Cyber Security Tools:
Kali Linux, Metasploit, Wireshark, Burp Suite

Network & System Security:
Nmap, Snort, OpenVAS

Cloud & Security Platforms:
AWS (IAM, Security Hub), Microsoft Azure Security, Google Cloud Security

Program Details

  • UGC- and NEP-aligned B. Tech in CSE with an Artificial Intelligence minor, offering a flexible and multidisciplinary curriculum that blends strong CSE fundamentals with emerging AI knowledge.
  • Industry-oriented program emphasizing hands-on learning through laboratories, real-world projects, internships, and apprenticeship-based training for job readiness.
  • Skill-focused training in AI, machine learning, data analytics, and modern development tools aligned with current industry demand.
  • Designed to prepare students for high-growth careers in AI-enabled software, data-driven roles, automation, and digital technologies.
  • Strong academic foundation supporting higher studies, research, global certifications, and entrepreneurial pathways.
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Eligibility

Passed 10+2 examination with Physics/Mathematics/ Chemistry/ Computer Science/Electronics/ Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
Whereas Physics & Mathematics are mandatory courses at 10+2 Level.
OR
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field anddesired learning outcomes of the Program.
Whereas Physics & Mathematics are mandatory courses at 10+2 Level.

Duration

4 Years (8 Semesters)

Tuition Fees

₹ 75,000 per Semester

*Fees such as Admission, Caution Money,
Examination, Hostel, and Transport fees are extra. 

Selection Criteria

Admission will be done on the basis of merit which includes any recognized JEE or JKUEE & PI or as per AICTE guidelines.

Program Outcome

01

Technical Proficiency

Apply core Computer Science and Artificial Intelligence concepts to develop efficient, real-world solutions.

02

AI & ML Application

Design, implement, and evaluate machine learning and intelligent systems using modern tools and frameworks.

03

Data Analysis Skills

Analyze structured and unstructured data to support data-driven and AI-enabled decision making.

04

Industry Readiness

Demonstrate job-ready skills through hands-on projects, internships, and apprenticeship-based learning.

05

Multidisciplinary Competence

Integrate AI knowledge with other engineering and domain areas in alignment with NEP’s minor framework.

06

Ethical & Responsible AI

Develop and deploy AI solutions with awareness of ethics, security, sustainability, and societal impact.

Course at a Glance

Core Subjects: Data Structures, Algorithms, Database Systems, Operating Systems, Computer Networks, Software Engineering.

Specialized Areas (AI Minor): Machine Learning, Deep Learning, Data Analytics, Artificial Intelligence, Intelligent Systems.

Skill Training: Python Programming, AI & ML Tools, Data Handling, Model Building, Projects, Internships, Apprenticeship Training.

Outcome: AI Engineer, Machine Learning Engineer, Data Analyst, Software Developer, Automation Engineer, and pathways to higher studies and research.

Career Opportunities

  • Software Development Engineer (SDE)
  • Backend Developer
  • Frontend Developer
  • Full-Stack Developer
  • Mobile App Developer
  • Cloud Engineer
  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Platform Engineer
  • Banking & PSU
  • Entrepreneurship & Startups (Startup Founder, Product Developer, Tech Consultant, & SaaS Builder)
  • Global Career Tracks (International Software Engineer, Remote Developer, Global Cloud Architect)
  • Higher Studies & Research- (M.Tech / MS (India & Abroad), Ph. D., Academician & Research Scientist)

Campus Facilities for CSE Core Students

  • Advanced Computing & Programming Labs
  • Full-Stack Development & Cloud Lab
  • Innovation, Startup & Incubation Centre
  • Research & Project Development Lab
  • Smart Classrooms & Digital AI Learning Ecosystem
  • Placement & Career Development Cell
  • Competitive Coding & Hackathon Arena
  • 24×7 High-Speed Wi-Fi & Smart Campus
  • Digital Library & Knowledge Hub

Leading Job Sectors

  • Private & Global Tech- Google, Microsoft, Amazon (AWS, Alexa AI), IBM, Oracle, NVIDIA, Meta (Facebook AI Research), Samsung Research
  • IT Services & Consulting Companies- Tata Consultancy Services (TCS), Infosys, Wipro, Accenture, Cognizant, Capgemini, HCL Technologies

Public Sector & Government Organizations

  • DRDO (Defence Research & Development Organisation)
  • ISRO (Indian Space Research Organisation)
  • NIC (National Informatics Centre)
  • BEL (Bharat Electronics Limited)
  • CDAC (Centre for Development of Advanced Computing)
  • BHEL (Bharat Heavy Electricals Limited)
  • NABARD – Data Analytics Division
  • Ministry of Electronics & IT (MeitY)
  • PSUs adopting AI automation (ONGC, NTPC, GAIL)
  • State and Central Government Smart City Projects

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