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    Applications Open for 2026

    M.Tech. Analytics

    Engineering analytics with strategic management for data-driven leadership

    2 Years | 4 Semesters
    M.Tech.
    School Of Engineering

    Program Overview

    The M.Tech in Analytics integrates advanced engineering analytics with management principles. It prepares graduates to analyze complex data, build intelligent models, and align analytical insights with organizational strategy across technology-driven business environments.

    Students develop competencies in statistical analysis, machine learning, big data processing, analytical programming, data visualization, and managerial decision frameworks for translating technical insights into strategic business actions.

    At a Glance

    Duration

    2 Years

    Semesters

    4 Semesters

    Scholarship

    Available

    Eligibility

    Qualification

    B.E. / B.Tech

    Branch Required

    Engineering

    Minimum Score

    50% aggregate or equivalent

    Entrance Exams

    PULSEGATE

    Program Highlights

    Interdisciplinary Curriculum

    Blends analytics engineering with management decision sciences

    Applied Learning

    Emphasis on projects, case studies, and real datasets

    Research Exposure

    Opportunities in funded analytics and AI research

    Industry Collaboration

    Engagement with startups and technology-driven enterprises

    Syllabus

    The curriculum progresses from analytical foundations and programming to advanced machine learning, big data systems, predictive modeling, and strategic management applications, supported by research projects and practical industry-oriented problem solving.

    Major Specialization Tracks

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

    Data Science

    Advanced statistical modeling and data-driven insight generation

    Business Analytics

    Analytical methods for strategic and operational decision making

    Artificial Intelligence

    Intelligent systems for predictive and cognitive applications

    Big Data Systems

    Scalable architectures for large-scale data processing

    Program Outcomes

    • Design analytical models supporting strategic and operational decisions
    • Develop machine learning solutions for complex, real-world datasets
    • Analyze business problems using quantitative and computational methods
    • Implement data-driven strategies aligned with organizational objectives

    Career Pathways

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

    Data Scientist
    Analytics Engineer
    Machine Learning Engineer
    Business Analyst
    Data Consultant
    AI Specialist
    Product Analyst
    Strategy Analyst
    Research Engineer

    Frequently Asked Questions

    What distinguishes this analytics program?
    It uniquely integrates engineering analytics with structured management and strategic decision frameworks.
    Does the program include hands-on projects?
    Yes, students work on applied analytics, research projects, and real datasets.
    Is research exposure part of the curriculum?
    The program emphasizes research through funded projects and publication opportunities.
    Are management concepts deeply covered?
    Yes, strategy, leadership, and business intelligence are core integrated components.
    Can engineers transition into leadership roles?
    The program prepares graduates to bridge technical analytics and managerial decision-making.