Subjects Covered in an MBA Business Analytics

Subjects Covered in an MBA Business Analytics Program Explained

Key Takeaways

  • Dual Focus: The program blends core management (HR, Finance) with technical data tools.
  • 1st Year Basics: Focuses on building a strong foundation in business and basic statistics.
  • 2nd Year Specialization: Dives deep into MBA in business analytics and ai and predictive modeling.
  • Industry Ready: You learn tools like Python, Tableau, and SQL that are essential for the 2026 job market.
 

Overview of the MBA Business Analytics Program

The Online MBA Business Analytics at Online SRM is designed for the modern professional. It is not just about “math” or “coding”, it is about using data to lead companies. In a world where every click and purchase is recorded, businesses need leaders who can look at a screen full of numbers and see a clear path to profit.
This program bridges the gap between a data scientist and a manager. You will learn how to handle large datasets, but more importantly, you will learn how to make executive decisions based on what those datasets are telling you.

What subjects are covered in the MBA Business Analytics program?

The syllabus is structured to take you from a beginner to an expert over two years. Here is a breakdown of the MBA Business Analytics Syllabus:
Subjects Covered in an MBA Business Analytics

MBA Business Analytics Subjects 1st Year

The first year is all about the “Business” in Business Analytics. You need to understand how a company functions before you can analyze its data.

  • Managerial Economics: Understanding market demand and supply.
  • Organizational Behavior: Learning how to manage and lead teams.
  • Marketing Management: Analyzing consumer habits and brand positioning.
  • Statistics for Managers: The foundation of all analytics, learning how to interpret data sets.
  • Accounting for Decision Making: Understanding the financial health of a business.
Subjects Covered in an MBA Business Analytics

2nd Year: Advanced Analytics & AI

Once you have the basics down, you move into the specialized subjects in MBA Business Analytics. This is where you get hands-on with technology.
  • Data Mining & Warehousing: Learning how to collect and store massive amounts of information.
  • Predictive Analytics: Using historical data to predict future trends (e.g., “Will this customer buy our product next month?”).
  • Social Media & Web Analytics: Analyzing how people interact with brands online.
  • AI & Machine Learning in Business: Understanding how automation and artificial intelligence are changing the industry.
  • Data Visualization: Mastering tools like Tableau and Power BI to create easy-to-read dashboards.

Ready to Start Your MBA in Business Analytics Journey?

If you are looking for a career that is high-paying and future-proof, Online SRM is the right place to start. We offer a world-class curriculum that fits into your busy schedule.
  • NAAC A+ accredited: Earn your degree from one of India’s top-ranked universities.
  • Affordable Fees: Pay just ₹27,500 per semester, a fraction of the cost of on-campus programs.
  • EMI Options: Start your journey with zero-cost EMI options starting at ₹4,584.
  • Global Tools: Get access to the latest software and Business Analytics Training that top employers demand in 2026.

FAQs

What Are The Common Job Roles After Studying Business Analytics?
Common roles include Business Analyst, Data Consultant, Supply Chain Analyst, and Marketing Analytics Manager. These roles are in high demand across IT, Finance, and Retail sectors.
Are Data Science and Business Analytics the Same?
Not exactly. Data Science focuses more on the technical side (coding, algorithms, and building models). Business Analytics focuses on using those models to solve specific business problems and drive growth.
Are programming subjects taught in MBA Business Analytics?
Yes. While you don’t need to be a software developer, you will learn practical programming in Python or R and database management using SQL. These are the primary tools used by analysts today.