MBA in Business Analytics

O.P. Jindal Global University


Programme Overview

The curriculum of the online MBA in Business Analytics features two parallel tracks - Business Management and Analytics. The curriculum includes thirteen courses on business management, eight courses on statistics and analytics techniques, five electives, and Experiential projects.

Each course will include some pre-recorded instructor videos, reading material, and practice questions. This will be accompanied with weekly assessments, hands-on assignments, and project work (often in groups) to ensure you will achieve all course-learning objectives. You will have the opportunity to interact with faculty in at least three live sessions per course, where you may seek feedback and clarification.


The curriculum of the online MBA in Business Analytics is organized along two verticals—business management and analytics—and an engaging mix of both core and elective courses.

Business Management Vertical

Financial Management You will acquire the capability to analyze financial statements for business decision making. You’ll be introduced to the various aspects of asset valuation and capital budgeting. You will also be exposed to financial applications of analytics, such as risk and fraud predictions, through specialized hands-on courses.

Managing Operations & Supply Chain Get familiarized with the concepts, techniques and tools to design, analyse, and improve operational and supply chain capabilities of an organization. You will acquire the skills and understanding to manage projects and services. In addition, you will be able to apply analytics to solve operations, supply chain, and logistics problems.

Marketing Management You will gain a deep appreciation for the science and practice of marketing, both from the perspective of the organization and the customer. You will get acquainted with the various concepts related online and digital marketing, and will also learn to apply analytics to specific marketing, sales, and service situations.

Managing Organizations & People You will develop a better understanding of human behavior, at individual and collective levels, and the impact of organizational practices on this behavior. You will also be introduced to the principles of managing human resources (HR) in organizations, and apply analytics to make better HR decisions.

Strategic Management & Business Policy You will be able to evaluate, understand, and devise organizational strategies for superior performance. You will also be able to identify and explore new markets and business opportunities, and run entrepreneurial ventures successfully.

Business Ethics and CSR It’s time to learn the fundamental aspects of business management. You will be able to apply micro- and macro-economic principles and methodologies to business decision problems. You will also be introduced to relevant aspects of business law and regulations, and learn to appreciate ethical and responsible business practices.

Analytics Vertical

Statistical Methods for Decision Making This course introduces you to all the statistical concepts, tools, and techniques used by organizations and managers. By the end of this course, you will understand the significance of statistics and learn about its applicability in business management. You will gain in-depth knowledge for organizing raw data using graphs and tables to simplify data handling and interpretation.

Introduction to Business Analytics using R This course introduces the fundamental concepts of business analytics to the managers. The objective is to build the foundation of data mining that forms the integral part of business analytics. Students will learn the data mining problem framing, data understanding, and data preparation for analytics-driven decision models in businesses or organizations.

Advanced Business Analytics The course helps you to understand working with multivariate data for decision-making. You will understand how to develop predictive models and use them for explaining and predicting business decisions.

Predictive Analytics & Forecasting This course will provide an overview of predictive analysis tools of data mining and their uses with the volume of data and business cases. The course further acquaints you with how to understand customer behavior and motivations, customers’ need, market segmentation, retailing, and business forecasting with the power of predictive data mining tools. Finally, the course will demonstrate a handful set of predictive analytics and data mining tools that can help young managers to make data-driven decisions in today’s business scenario.

Database Management with SQL This course will introduce you to basic terms and concepts of databases. You will learn about the basic building blocks of databases and the roles of Database Administrators (DBAs) and users. This course introduces you to Structured Query Language or SQL. With the help of SQL, you will be able to execute database queries and add, retrieve, modify, or delete the data as and when desired.

Machine Learning In this course, you will gain an in-depth introduction to building machine-learning models using Python. You will initially recapitulate the key Python libraries which are useful for Data Science applications. This includes coverage of Python libraries like Matplotlib, NumPy, and pandas. Next, you are introduced to the basics of machine learning, and the various classification and regression techniques are discussed. Also, the implementation of these techniques using the popular scikit-learn package is covered in detail.

Programme Length

The programme can be completed in minimum 12 months to a maximum of 24 months.

Coursera on Mobile

Access course materials anywhere with the mobile app available on iOS and Android.

  • Using the mobile app, learners can:
  • Save a week’s worth of reading and video content for offline access with one click
  • View text transcripts of lecture videos
  • Take notes directly in the app
  • Set reminder alerts to help you make progress

Download Coursera's mobile app


Not ready to enrol yet? Complete these professional certificates stacking into your degree credits.

Upto 12 Credits will be recognised for learners who have completed ANY one of the following: -

Important Dates

  • Applications Open: 8th April 2024
  • Deadline to submit applications: 31st May 2024

Documents Required

  1. Academic History - Degree Certificate or Consolidated Transcript with 50% aggregate CGPA / Percentage requirement.
  2. Valid ID Card
  • Indian learners: Aadhar Card / Passport / PAN Card / Voter ID Card
  • International learners: Passport / Govt. Issued ID Card

Programme Details

The programme is offered across 4 cohorts: January , April, July and October.

Want to learn more about the program?

Have questions? please contact

Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution.

We encourage you to investigate whether this degree meets your academic and/or professional needs before applying.