Management Development Institute Gurgaon

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MDI Gurgaon is home to the leading management education programmes in India. Located in the heart of corporate hub Gurugram, MDI Gurgaon will transform you into a thought leader. Our programmes are about leadership, fresh thinking, and positive impact. Studying at MDI Gurgaon means being in the midst of a talented and collaborative community. It leads to building a lifelong network. We welcome diversity and encourage developing a global mindset.

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Advantage MDI Gurgaon

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Faculty

Experienced faculty with an emphasis on research based education.

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Faculty & students work in conjunction with industry experts to create high-quality research.

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Executives Trained

Executive Education programme is pertinent to succeeding in today’s rapidly changing business climate.

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Global accreditations highlight the quality of teaching and excellence of research at MDI Gurgaon.

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#9

2025 National B-School Rankings

Ranked #9 in NIRF India Rankings in Management category

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95+

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Strategic partnerships bring together outstanding academics and resources to deliver transformative impact.

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Alumni across 54 countries, go on to become leaders in finance, consulting, policy framing, and more.

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Access to a wide range of resources in line with MDI's commitment to advance learning, knowledge and research.

The MDI Gurgaon Library

Trending Research

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Selecting Forecasting Methods via Literature Prominence and Accuracy Testing: Evidence From Container Throughput Forecasting Research Paper
Selecting Forecasting Methods via Literature Prominence and Accuracy Testing: Evidence From Container Throughput Forecasting

By Kamal Sanguri

Article citation: Sanguri, K. (2026). Selecting forecasting methods via literature prominence and accuracy testing: Evidence from container throughput forecasting. Journal of Forecasting. https://doi.org/10.1002/for.70178AbstractSelecting methods for monthly container throughput forecasting has become more difficult in the post-COVID period because the literature now offers a wider set of classical, decomposition-based, machine learning, and deep learning approaches...

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