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 |
Faculty Speaks
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ePGD-ABA
