Academics

About Program - ePGD-ABA

Programme Details

Programme Curriculum

The ePGD-ABA is a 16 months diploma programme offered by IIMA. The programme offers a carefully thought out mix of courses on tools and techniques for data visualization, modelling and analysis of varieties of data of different sizes; machine learning algorithms, cloud computing, and finally, the domain specific applications of data analytics in Marketing, HR, Finance, Operations and Public Policy
The programme delivery is a mix of online, and on campus sessions.  The programme is targeted towards working professionals with at least two years of experience preferably in the domain of analytics. However, no technical or statistical expertise is required except a desire to learn how to use data for making an impact on your organization

The curriculum is broadly categorized into six modules:

Pre-term
 Introduction to R & Python
 Basic Statistics and Probability
 Basic Linear Algebra

Data: Management, Exploration, and Analysis
 Business Analytics in the Real World, Problems and Data
 Probability and Statistics using R and Python
 Data Visualization using Tableau
 Big Data Management

Data Analysis: Methods and Models
 Regression Analysis
 Time Series Analysis
 Panel Data Analysis
 Categorical Data Analysis
 Bayesian Analysis
 Network Analysis
 Machine Learning with Big Data
 Textual Data Analytics
 Applied Causality and Experiments for Business
 Optimization Problems in Business
 Business Simulation
 Model Thinking
 Nonlinear Optimization

Analytics: Communication, Ethics, and Organizational Value
 Ethics, Privacy, and Data Security
 Analytics Communication
 Driving Organizational Value with Analytics

Analytics in Business and Management (Electives to be opted)
 Marketing Analytics
 People Analytics
 Finance Analytics
 Operations Analytics
 Strategy Analytics
 Public Policy Analytics

Capstone Project

Programme Delivery

The ePGD-ABA is a hybrid programme, which will be delivered using a mix of on-campus class-room sessions, online sessions, and project work. There will be three on-campus modules, each running for one-week duration. The online remote sessions will be delivered through a device-to-device technology enabled learning platform. For the project work, participants will visit the IIMA campus for two days.

The timing of the online sessions will provide flexibility to the schedules of working professionals. The course delivery pedagogy includes: 1) lectures, 2) cases, and 3) hands-on exercises. The concepts and state-of-the-art analytics practices will be introduced using lectures. Business cases will be introduced at appropriate modules to discuss the complexity of business problems and how to make data-driven decisions using rigorous analysis. Many sessions will provide hands-on data handling, data-driven simulation, and model development experience, which will prepare the participants to solve business problems in multiple domains and prepare participants to execute the capstone project with rigor. Equal emphasis will be laid on communicating the data insights with the organization.

Programme Calendar

Term

Duration

Mode

Pre-term

March 2023

Online

Exploratory Data Analysis

April - June 2023

Classroom/ Online

Data Analysis: Methods and Models

July - December 2023

Classroom/ Online

Analytics: Communication, Ethics, and Organizational Values

January 2024

Online

Domain-specific Analytics (Electives)

February – April 2024

Classroom/ Online

Capstone Project

May – July 2024

Classroom/ Online

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