Course Highlights

AI & Data Science

Cybersecurity Minor Advantage

Industry-Oriented Curriculum

Hands-On Project Training

Secure Intelligent Systems

Internship & Apprenticeship

Research & Innovation Focus

High-Demand Career Skills

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 integrating AI & Data Science with a Cybersecurity minor for multidisciplinary and flexible learning.
  • Industry-oriented curriculum focused on intelligent systems, data-driven solutions, and secure computing practices.
  • Strong hands-on exposure through labs, real-world projects, internships, and apprenticeship-based training.
  • Job-focused skill development in machine learning, data analytics, cyber defense, and modern computing tools.
  • Career-ready preparation for high-demand roles, higher studies, research, certifications, and entrepreneurship in emerging digital domains.
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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 diversebackgrounds to prepare Level playing field and desired 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 entrance, screening & PI.

Program Outcome

01

Strong CSE Foundation

Apply core computer science and engineering principles to solve complex computational problems.

02

AI & Data Science Proficiency

Design and implement AI and data science solutions for data-driven decision making.

03

Cybersecurity Competence

Identify, analyze, and mitigate security threats using secure computing and cyber defense techniques.

04

Industry-Ready Skills

Demonstrate job-oriented skills through hands-on labs, projects, internships, and apprenticeship training.

05

Multidisciplinary Integration

Integrate AI, data science, and cybersecurity knowledge across engineering and application domains.

06

Ethical & Responsible Computing

Apply ethical, legal, and societal considerations in AI-driven and secure digital systems.

Course at a Glance

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

Specialized Areas: Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Network & Information Security.

Skill Training: Python Programming, Data Analytics Tools, AI/ML Frameworks, Cybersecurity Tools, Secure Coding, Projects, Internships, Apprenticeships.

Outcome: AI Engineer, Data Scientist, Cybersecurity Analyst, Secure Software Developer, Data Analyst, and pathways to higher studies and professional certifications.

Career Opportunities

  • AI Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Cybersecurity Analyst
  • Information Security Engineer
  • Secure Software Developer
  • Data Analyst
  • Cloud & Security Engineer
  • SOC Analyst
  • Apprentice Engineer
  • Research Assistant
  • Higher Studies & Professional 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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