B.Tech (CSE) with AIML

Course Highlights

Industry-Aligned Curriculum

AI & ML Specialization

AI-Driven Security Systems

Industry-Aligned Curriculum

Hands-on Cyber Labs

Real-Time Threat Analytics

Cloud & Network Security

Research & Innovation Focus

Introduction

Four-Year Undergraduate Programme: A UGC and NEP-aligned B.Tech designed to develop strong foundations in Artificial Intelligence, Machine Learning, Data Science, and intelligent systems.

Comprehensive, Future-Focused Curriculum: Students learn core AI algorithms, deep learning models, neural networks, and automation techniques that drive modern innovation across industries.

Industry-Integrated Learning Experience: The programme emphasizes practical training through real-world projects, advanced software tools, hackathons, and exposure to the latest AI technologies.

High-Growth Career Preparaion: Graduates are equipped with in-demand skills for careers in AI development, data analytics, robotics, predictive modeling, and next-generation computing.

Tools Covered

Programming & Development:
Python, R, Java

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

Machine Learning Libraries:
Scikit-Learn, XGBoost, LightGBM, CatBoost

Deep Learning Frameworks:
TensorFlow, KerasPyTorch

Natural Language Processing:
NLTK. spaCy, Hugging Face Transformers

Computer Vision:
OpenCV, YOLO, MediaPipe

Program Details

A 4-year UGC- and NEP-aligned undergraduate program with flexible multiple exit options, combining Artificial Intelligence, Machine Learning, and Cyber Security with core computer science foundations.
Industry-oriented curriculum covering AI/ML algorithms, data analytics, ethical hacking, cloud and network security through hands-on labs and real-world projects.
Strong focus on experiential learning through internships, paid final-year apprenticeship, skill certifications, and multidisciplinary training as mandated by NEP.
Prepares graduates for high-demand careers such as AI/ML Engineer, Cyber Security Analyst, Data Scientist, Cloud Security Engineer, and Ethical Hacker across industry and government sectors.

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Eligibility

Passed 10+2 examination with Physics/Mathematics/ Chemistry/ Computer Science/Electronics/ Information Technology/ Biology/Informatics Practices/ Biotechnology/ TechnicalVocational 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 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

Strong AI & ML Competence

Ability to design, implement, and optimize intelligent algorithms and data-driven solutions.

Industry-Ready Expertise

Hands-on experience with modern AI tools, frameworks, and real-world projects aligned with industry needs.

Advanced Analytical Skills

Capability to analyze complex datasets and derive meaningful insights for real-world applications.

Effective Communication & Teamwork

Ability to collaborate in interdisciplinary teams and present AI-driven solutions professionally.

Innovative Problem Solving

Skills to conceptualize and build smart systems using machine learning, deep learning, and automation.

Ethical & Responsible Technology Use

Understanding of ethical AI practices, privacy, and responsible development of intelligent systems.

Course at a Glance

Core Subjects: Programming for Problem Solving (Python/Java), Data Structures & Algorithms, Database Management Systems, Discrete Mathematics & Linear Algebra, Probability, Statistics & Optimization, Machine Learning Fundamentals, Deep Learning & Neural Networks, Operating Systems & Computer Networks, Data Mining & Data Warehousing, Software Engineering Principles

Specialized Areas: Computer Vision & Image Processing, Natural Language Processing (NLP), Generative AI & Large Language Models (LLMs), Reinforcement Learning & AI Agents, Robotics & Automation (ROS), AI for IoT & Edge Computing, Big Data Engineering (Hadoop, Spark), Cloud Computing & MLOps (AWS/Azure/GCP), Cybersecurity for AI Systems, AI in Healthcare, Finance & Smart Cities

Skill Training: Python, R, and C++ Programming, TensorFlow, PyTorch, Keras, Scikit-Learn, Data Analytics Tools: Pandas, NumPy, Tableau, Power BI, Cloud Skills: AWS, Azure, Google Cloud ML Studio, MLOps: Docker, Kubernetes, Git/GitHub, IoT Development with Arduino, Raspberry Pi, NVIDIA Jetson, Robotics Toolkit (ROS, OpenVINO), Hackathons, Industry Internships & Capstone Projects, Problem-Solving, Creativity & Innovation Labs (as per NEP)

Outcome: Job-ready AI & ML professionals with strong analytical, problem-solving, and industry-relevant.

Career Opportunities

AI / ML Engineer
Data Scientist
Cyber Security Analyst
Security Data Scientist
AI Security Engineer
Ethical Hacker

Threat Intelligence Analyst
SOC Analyst
Cloud Security Engineer
Machine Learning Security Specialist
Cyber Forensics Analyst

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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