Last Date to Apply for Indian Admissions 15 March 2025 Last Date to Apply for International Admissions 15 March 2025

OVERVIEW

MBA in Business Analytics offered by TAPMI School of Business, is designed to equip students with the necessary knowledge and skills to become experts in data analysis and its business applications. The program is tailored based on inputs from industry leaders and emphasizes a balance between theoretical concepts and practical experience. Through the program, students will learn to apply advanced statistical methods and predictive models to analyze large datasets and extract valuable insights that can lead to informed business decisions. The curriculum covers topics such as SQL, Tableau, Power BI, data mining, data visualization, database management, machine learning, and business intelligence tools which are the niche skills for future ready and future proof careers. The MBA Program of TAPMI School of Business got NBA Accredition in 2023.

ELIGIBILITY AND ADMISSION CRITERIA

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SCHOLARSHIPS

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PLACEMENTS & INTERNSHIPS

PROGRAM FEES

Program Fee Indian (₹) International ($)
MBA (Business Analytics) Tuition (Annual) 5,73,000 13,500
Registration (One Time) 10,000 300
Caution Deposit (Refundable) 15,000
Total (At the time of admission) 5,98,000 13,800

COURSE STRUCTURE

  • Managerial Economics
  • Accounting for Managers
  • Marketing Management
  • Business Communication
  • Business Problem Solving, Insights and Storytelling
  • Data Analysis in Excel
  • Python for Data Analytics

  • Management Accounting
  • Operations Management
  • Human Resource Management
  • Financial Management
  • Management Concepts & Organizational Behaviour
  • Inferential Statistics and Hypothesis Testing
  • DBMS with SQL

  • Summer Internship
  • Strategic Management
  • Legal Aspects of Business
  • SelfDevelopment and Personal Growth
  • Exploratory Data Analysis
  • Data Visualisation and Business Intelligence

  • Information Management for Business
  • Business Ethics and Corporate Governance
  • Predictive Analytics and Introduction to ML
  • Big Data Analytics and Data Strategy for Business
  • Dissertation
  • Elective I
  • Elective II

LEARN.
GROW.
ACHIEVE.

University - Recognitions & Accreditations