Course Highlights

Industry-Oriented AI Skills

Hands-On Project Learning

Machine Learning Focus

Data-Driven Intelligence

AI Tools Exposure

Internship & Industry Linkage

Research & Innovation Focus

Future-Ready Career Path

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++

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

Data Science & Visualization:
NumPy, Pandas, Matplotlib, Seaborn

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 JKCET & 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

  • AI / ML Engineer
  • Data Scientist
  • Data Analyst
  • Software Developer
  • Automation Engineer
  • Business Intelligence Analyst
  • AI Application Developer
  • Research Assistant
  • Higher Studies & Certifications

Campus Facilities for AIML Students

  • Modern AI & Machine Learning Labs
  • GPU-enabled computing systems
  • High-speed internet
  • Smart classrooms
  • Digital library with AI journals
  • Coding & Robotics clubs
  • Innovation & incubation centre
  • Hackathon-ready infrastructure

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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