MBA – Big Data Analytics

Bridge strategic business governance with data-driven modeling loops, predictive intelligence architectures, and automated data visualization pipelines.

Executive Core Competency Matrix

Business Intelligence Logic
Predictive Modeling & Modeling
Marketing & Consumer Telemetry
Enterprise Data Operations
Data-Driven Strategic Design
AI Ethics & Risk Governance

Academic Regulations

Active PG Framework

R25 Regulations

Comprehensive layout structural matrix for postgraduate studies, credit metrics alignment, core dissertation thesis guidelines, and advanced computing assessment frameworks required for compliance.

Download R25 Regulation

🔍 Specialized Learning Tracks

  • Quantitative Modeling & Mining

    • Multivariate statistical optimization loops
    • Pattern extraction & forecasting models
    • Data cleansing transformation logic
  • Managerial Business Analytics

    • Operational bottleneck data mining
    • Visual reporting architectures (Tableau/PowerBI)
    • A/B testing execution frameworks
  • Big Data Strategy Layer

    • Enterprise data lake governance methods
    • Cloud clustering infrastructure models
    • Scalable risk assessment matrices

Course Logistics

Duration & Framework

2 Years (4 Semesters) structured executive management track fully aligned with AICTE frameworks.

Eligibility Criteria

Bachelor's degree in any discipline with verified baseline quantitative or technical credentials.

Applied Dissertations

Compulsory final-semester data analytics consulting projects inside real-world partner systems.

ABOUT THE BIG DATA ANALYTICS LAYER