The Indian Institute of Management Kashipur (IIM Kashipur) is guiding its gender equality in business educational programs, which have traditionally been dominated by men. The IIM Kashipur achieved a remarkable achievement of reaching 42% representation of women in the main course in the academic years 2024-26, compared to 35% last year. The new 2024-26 academic candidates, were accepted through an extensive three-day orientation program and inauguration ceremony that included 196 female students out of 471 total students in the Master of Business Administration (MBA) and Master of Business Administration (MBA - A) programs. It was recorded that the MBA - Analytics program has 75 per cent of students this year which led to an increase from 69 percent the previous year.
The fresh IIM Kashipur MBA batch consists of students from diverse academic backgrounds, which include 37% having an engineering education, 33% having a business background, more than 12% having a science background, and 6% having an art education. The rest of the students are from medical and communication backgrounds with an average of 13 months of work experience.
In terms of geographical diversity, students from 28 states participated in the program, with Maharashtra and Uttar Pradesh being the highest participating states with 63 students. IIM Kashipur conducted the inaugural function of IIM Kashipur's new MBA, MBA (Analytics) and PhD program along with an orientation session that was conducted between June 27 to 30, 2024. The Director of Admissions Professor Abhradeep Maiti emphasized that the institute has not only successfully attracted the next generation of leaders, but the institute has also completed the Common Admission Process (CAP 2024).
In addition to the IIM Kashipur MBA programme, the institute has also launched a third batch of Executive MBA (Analytics). This two-year program is designed for working professionals who want to gain additional knowledge in areas such as business intelligence, artificial intelligence, machine learning, deep learning, management, data analysis and strategy and many more.
