The ePost Graduate Diploma in Advanced Business Analytics (ePGD-ABA) at the Indian Institute of Management Ahmedabad (IIMA) is designed for professionals seeking to enhance their expertise in business analytics. The field of analytics is evolving rapidly and more and more businesses are now seeking data-driven informed decision-making for sustainable growth. This has upscaled the demand for skilled professionals who can effectively analyze complex data sets and derive actionable insights. This programme aims to equip participants with the necessary skills and knowledge to excel in this dynamic landscape.

At IIMA, the ePGD-ABA programme offers a comprehensive curriculum that integrates both theoretical knowledge and practical application of business analytics concepts. Participants will explore a wide range of subjects, including data analysis, machine learning, big data, and predictive analytics. The programme’s framework is specially curated to provide students with a solid foundation in analytical methods while also exposing them to the latest advancements in the field. This blend of rigorous academics and real-world application ensures that participants are well- prepared to manage the challenges they will face in their careers.

The programme spans 16 months in a hybrid mode so that professionals can balance their studies with their work commitments. This learning format combines online and on-campus sessions, allowing students to learn at their own pace. The students benefit from direct faculty interactions as well as peer-to-peer learning. This flexibility is particularly advantageous for working professionals who need to manage their time effectively while pursuing further education.

A unique aspect of the ePGD-ABA programme is its focus on hands-on learning. Participants will engage in real-world case studies and projects that emphasize the practical application of data analytics strategies and techniques. By working on actual business problems, students will not only reinforce their understanding of theoretical concepts but also develop critical skills in problem- solving and decision-making.

Networking opportunities are another significant benefit of the ePGD-ABA programme. Participants will have the chance to connect with a diverse cohort of professionals from various industries, facilitating a rich exchange of ideas and experiences. This peer-to-peer learning environment enhances the educational experience, enabling students to learn from one another and build valuable professional relationships. Moreover, participants gain access to IIMA’s extensive alumni network, which can open doors to mentorship, collaboration, and career advancement.

The programme is taught by IIMA’s esteemed faculty, who are recognized experts in the field of business analytics. Their extensive academic and industry experience ensures that participants receive a high-quality education that is both relevant and up-to-date. Guest lectures from industry leaders further enrich the learning experience, providing students with insights into current trends and best practices in analytics. This exposure to industry expertise prepares participants to excel in various roles, including data scientist, business analyst, and analytics consultant.

The ePGD-ABA programme at IIMA is committed to fostering a culture of continuous learning. As the field of business analytics evolves rapidly, professionals must stay current with the latest tools and techniques. This programme encourages students to embrace lifelong learning, equipping them with the mindset and skills needed to adapt to new challenges and opportunities in their careers.

In conclusion, the ePost Graduate Diploma in Advanced Business Analytics (ePGD-ABA) at IIMA is a transformative programme that prepares professionals for success in the analytics domain. With its comprehensive curriculum, flexible learning format, and emphasis on practical applications, this programme provides a robust foundation for individuals looking to advance their careers in data analytics. Whether you are aiming to enhance your analytical skills, pivot your career, or take on leadership roles in analytics, the ePGD-ABA programme offers the knowledge and resources needed to achieve your goals.

The ePGD-ABA 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 to make an impact on your organization

The curriculum is broadly categorized into six modules:

Module I: Pre-Term

Basic Linear Algebra
Basic Statistics and Probability
Introduction to Python
Introduction to R

Module II: Data: Management, Exploration and Analysis

Big Data Management
Business Analytics in the Real World, Problems and Data
Data Visualization for Analysis and Communication
Probability and Statistics using R and Python

Module III: Data Analysis: Methods and Models

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

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

Module V: Analytics in Business and Management (Electives)

Finance Analytics
Marketing Analytics
Operations Analytics
People Analytics
Public Policy Analytics
Strategy Analytics

Module VI: Capstone Project