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A flowchart showing the intersection of business management subjects and data analytics subjects in an MBA syllabus.

MBA in Data Analytics: A Complete Syllabus & Subjects Guide (2025)

An MBA in Data Analytics is one of the most powerful and sought-after degrees in 2025. It's uniquely designed to create a new breed of business leader: someone who not only understands the principles of management, finance, and marketing but can also leverage data to make strategic, evidence-based decisions. If you're considering this path, understanding the curriculum is the first step.

This guide breaks down a typical **MBA Data Analytics syllabus** as offered by top business schools in India. At Vtricks Technologies in Bangalore, we know the skills that companies are hiring for, and a modern MBA curriculum is built to deliver exactly that—a potent blend of business acumen and technical expertise.

The Dual-Focus Curriculum: Business and Technology

The program is typically structured over two years (four semesters). The first year focuses on building a strong foundation in core management principles, while the second year allows for deep specialization in advanced analytics topics.

Year 1: Core Business & Management Subjects

These foundational courses are common across most MBA programs and ensure you have a holistic understanding of how a business operates.

  • Marketing Management: Understanding consumer behavior, market segmentation, and branding.
  • Corporate Finance & Accounting: Mastering financial statements, valuation, and investment decisions.
  • Operations & Supply Chain Management: Learning about process optimization, logistics, and quality control.
  • Strategic Management: Analyzing competitive landscapes and formulating long-term business strategy.
  • Organizational Behavior & Human Resources: Understanding team dynamics, leadership, and talent management.

Year 1: Core Data Analytics Subjects

Woven into the first year are the foundational technical subjects that you will build upon.

  • Statistics for Managers: Deep dive into probability, hypothesis testing, and regression analysis—the bedrock of analytics.
  • Introduction to Business Analytics: An overview of the different types of analytics (descriptive, predictive, prescriptive).
  • Data Management & SQL: Learning how to design, query, and manage relational databases using SQL.
  • Business Intelligence & Visualization: Hands-on training with tools like **Tableau and Power BI** to create insightful dashboards.
  • Predictive Modeling Fundamentals: Introduction to building predictive models using tools like Python or R.

Year 2: Advanced Analytics Electives

The second year is where you specialize. You choose electives based on your career goals, applying advanced analytics to specific business domains.

  • Machine Learning for Business: Advanced techniques in classification, clustering, and implementing ML models at scale.
  • Big Data Technologies: Understanding the ecosystem of Hadoop, Spark, and cloud platforms for handling massive datasets.
  • Marketing Analytics: Applying data to optimize digital marketing campaigns, pricing, and customer lifetime value.
  • Financial Analytics & Risk Management: Using models for credit risk scoring, fraud detection, and algorithmic trading.
  • AI and Strategic Decision Making: Exploring how Artificial Intelligence and Deep Learning are shaping business strategy.
  • Supply Chain Analytics: Using data for demand forecasting, inventory optimization, and logistics management.

Practical Application: Capstone Projects & Internships

A crucial part of any MBA Data Analytics syllabus is the practical component. Students are required to undertake a capstone project where they solve a real-world business problem for a company, from data collection to final presentation. A summer internship between the first and second years provides invaluable industry experience.

The Vtricks Advantage: Gain the Skills, Faster

An MBA is a significant investment of time and money. For many working professionals in Bangalore, a more direct path to acquiring these high-demand technical skills is preferable.

Our Data Analytics Course focuses intensively on the most crucial technical subjects from the MBA syllabus—SQL, Power BI, Python, and Machine Learning. We provide the hands-on, project-based learning that builds a strong portfolio, making you a job-ready candidate in months, not years.