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    Applications Open for 2026

    B.Tech in Artificial Intelligence and Data Science

    Engineering intelligent systems through data, algorithms, and applied artificial intelligence.

    4 Years | 8 Semesters
    B.Tech.
    School Of Engineering

    Program Overview

    The B.Tech in Artificial Intelligence and Data Science focuses on intelligent system design using AI, machine learning, and data analytics. Students learn to develop predictive models and data-driven solutions applicable across multiple technology-driven domains.

    Students gain strong foundations in algorithms, machine learning, data analytics, and intelligent systems. The program emphasizes problem-solving, model development, data interpretation, and application of AI techniques to real-world computational challenges.

    At a Glance

    Duration

    4 Years

    Semesters

    8 Semesters

    Scholarship

    Available

    Eligibility

    Qualification

    12th Standard (Science Stream)

    Subjects Required

    PhysicsMathsChemistry

    Minimum Score

    45% aggregate in PCM and overall qualifying examination

    Entrance Exams

    PULSEJEECET

    Program Highlights

    Research-Oriented Learning

    Exposure to funded research, publications, and innovation-driven academic culture

    Hands-on Pedagogy

    Practical labs, projects, and computational experimentation integrated into coursework

    Interdisciplinary Focus

    Integration of AI with data science, systems, and emerging technologies

    Industry-Relevant Tools

    Training using modern analytical platforms and AI development frameworks

    Syllabus

    The curriculum progresses from mathematical and computational foundations to advanced AI, machine learning, and data analytics concepts, emphasizing practical implementation, research exposure, and system-level thinking through projects and applied learning.

    Year 1Fundamentals
    SEM 1 & 2
    Engineering MathematicsEngineering Physics Engineering Chemistry Python ProgramingBasic Electrical EngineeringJava ProgrammingEngineering Mechanics and GraphicsProfessional Communication and Ethics Basic Workshop
    Year 2Core Engineering
    SEM 3 & 4
    Mathematics for AIDSOperating SystemsData Structure and AlgorithmsDatabase Management SystemComputer Organization and ArchitectureDigital Electronics Theory of ComputationIntroduction to Artificial IntelligenceComputer Network and Security
    Year 3Advance
    SEM 5 & 6
    Machine LearningDeep LearningParallel and Disrtibuted Computing
    Year 4Capstone
    SEM 7 & 8
    Cloud ComputingSkill Lab I (DevOps)Software Project Management

    Major Specialization Tracks

    Students may select a specialization to develop deep expertise. Elective subjects will be based on the chosen track.

    Cognitive Computing and Intelligence

    The focus is on building AI systems that emulate human thinking for intelligent learning, reasoning, and decision-making.

    Cyber and Cloud Security

    Emphasis on securing AI-driven systems, data, and cloud infrastructures using intelligent threat detection and analytics.

    IoT and Data Analytics

    Focuses on intelligent data collection, analysis, and insights from interconnected devices using AI-driven analytics

    Data Management

    Focuses on efficient data storage, integration, governance, and processing to support scalable AI and data-driven applications.

    Program Outcomes

    • Design intelligent systems using machine learning and data-driven approaches
    • Develop predictive models for structured and unstructured datasets
    • Analyze complex datasets to support informed decision-making
    • Implement AI solutions across interdisciplinary problem domains

    Career Pathways

    Graduates are equipped to work with top-tier tech companies and startups in a wide range of roles.

    AI Engineer
    Data Scientist
    Data Analyst
    Machine Learning Engineer
    Business Analyst
    Research Scientist
    AI Architect
    Analytics Consultant
    Systems Engineer

    Frequently Asked Questions

    What is Artificial Intelligence and Data Science?
    It combines intelligent algorithms and data analysis to build systems that learn and predict outcomes.
    Does the program include practical projects?
    Yes, coursework integrates labs, projects, and applied problem-solving activities.
    Is programming knowledge required before joining?
    Basic mathematical understanding is required; programming fundamentals are taught within the program.
    Does this program support research interests?
    Yes, students are encouraged to participate in research, publications, and innovation projects.
    Can graduates pursue higher studies?
    Yes, the program provides strong foundations for postgraduate studies and research careers.
    B.Tech in Artificial Intelligence and Data Science