- PGD in Business Analytics offered by premier Indian Institutions witnesses a record 11% salary hike
PGD in Business Analytics offered by premier Indian Institutions witnesses a record 11% salary hike
NEW DELHI, MARCH 19: The Final Placements for the Postgraduate Diploma (PGD) in Business Analytics Programme of IIM Calcutta, ISI and IIT Kharagpur witnessed a record increase of 11% in domestic offers alone with the mean salary going upto Rs. 24.40 lakh per annum.
The placements for the 2017-2019 batch concluded with the batch of 52 receiving a total of 66 offers made by 35 firms. PGD in Business Analytics is a 2-year full-time residential program in Business Analytics and Data Science started jointly by three premier institutes of the country - IIM Calcutta, ISI, IIT Kharagpur.
The programme which has been ranked top in India and 14th globally among full-time business analytics course by the QS Rankings has . The highest domestic offer made was ₹35 LPA. The overall average CTC has risen to ₹25.05 lakh per annum from ₹22.89 lakh per annum last year.
BFSI made up for about a third of the total offers emerging as the biggest sector. The major recruiters from the final placements include JP Morgan Chase, Adani Group, Viacom18, Myntra, Flipkart, United Airlines, Piramal Group. Two international offers were also received.
With an impressive conversion rate of 63.5%, the PPOs make up the majority of the offers made. The major recruiters in the internship process included DE Shaw & Co, ABInBev, Amazon, PwC, Barclays, Gartner, Johnson & Johnson, Master Card. The average monthly stipend of the internships bettered last year’s number by 22.8% reaching ₹1,13,565/- this year. The median monthly stipend rose by a remarkable 29.4% to reach ₹1,11,100/-.
“The outstanding placements this year demonstrates to our focus on academic excellence and appreciation of PGDBA Program by Industry," Professor Arun Misra, Faculty and Placement Convener of the PGDBA programme from IIT Kharagpur.
The elite institutes lend their expertise in enriching the course curriculum with Statistics, Machine Learning and Computing and their contemporary Business applications in the Analytics industry.