Automation and Digitisation at Workplace Sparks Demand for AI and ML Programs

Data is no longer the new oil, it is now the world’s most essential resource for business profitability and innovation. The immeasurable applications of data have generated a voracious demand for skilled professionals who are proficient in tools that drive automation, maximise insights, create lucidity; more from data; over 1 million Artificial Intelligence professionals will be needed by 2021 globally.

“A recent study found that 30% of tasks in 60% job will be automated and 80m US & 15m UK jobs might be affected* a but the fact we must pay attention to, is that the jobs themselves won’t entirely disappear; rather, they will be redefined,” says Rajiv Shah, Director and CEO, NMIMS Global.

Moreover, 94% of organisations now consider that AI will help create more opportunities than be a threat to their industry. Dr. Dakshinamurthy V Kolluru, President, INSOFE stated that “enterprises in the private and public sectors need executives, analysts, and specialists with advanced training in analytics technology as well as business management.”

There has been a 45% rise in the adoption of AI in India and around 65% of the jobs in the IT sector will witness a transition in job roles over the next five years due to automation and digitisation. Currently, there are close to 91000 artificial intelligence personnel serving across enterprises in India with a median salary of INR 14.7 Lakhs. Due to this phenomenon, the Indian tech industry is poised to add 1.38 lakh jobs in FY20-21 alone.

Therefore, NMIMS Global with knowledge partner INSOFE has designed the online 24-month Master of Science program in Artificial Intelligence and Machine Learning Operations (MS in AI and ML Ops) to give working professionals with an opportunity to create a strong foothold in an industry poised to grow to US$ 275 billion by the end of 2023.


Career assistance is an integral part of the MS in AI & ML Ops program. Learners will get access to 500-plus top hiring partners of NMIMS Global & INSOFE and also get passage to NMIMS Global’s job portal and gain CV & interview assistance.

“This MS in AI & ML Ops program will allow a student to upgrade, acquire and ace in-demand tools and skills without having to pause their career”, added Mr. Shah.

“The MS program has been designed to provide working executives with the skills necessary to compete in the rapidly growing market for Data Science professionals. Our MS program curriculum is designed to help students increase their skills in each of these areas, and students exit the program ready to compete in the world of Big Data.” says Dr. Dakshinamurthy V Kolluru.


The Master of Science in Artificial Intelligence and Machine Learning Ops is intended to provide deep technical training to the student in the field of Artificial Intelligence and Machine Learning. The program offers 750+ learning hours including 220+ teaching hours & 212+ lab hours in a flexible online-blended interactive format specifically designed for working professionals.

It adopts a holistic approach that enables students to apply knowledge via multiple routes such as internal assessment, examination while obtaining hands-on experience at a Bootcamp and acquiring in-depth knowledge through a Scholar-guided Masters’ Dissertation.

The 5-day residential on-campus boot camp will be held in Mumbai and provide a hands-on opportunity to solve real industry problems, build and scale prototypes and applications. Similarly, the Master’s Dissertation project of over 200 hours will boost exhaustive study and lending experience on using complex research-driven data and applying it to solve business problems spread across 20 weeks. Students can choose from the following industry-relevant electives: Advanced Machine Learning areas like Computer Vision, Natural language processing (NLP), Big Data, Robotics, and Reinforcement Learning. 


  • Understand & solve complex machine learning problems with competencies in data mining, regression analysis, text mining, and predictive analysis.
  • Gain confidence and mastery in the entire AI algorithm development and deployment cycle (understanding business problem to analytical and mathematical problem, data understanding, data preparation, modelling, evaluation, and deployment)
  • Analyse & solve big data problems using engines like Apache Spark & Hadoop Ecosystem. Get competencies in algorithm development and visualization tools including R, Python & Tableau and specialised advanced machine learning areas such as NLP, Big Data, Robotics & Reinforcement learning.
  • Draw strong computational and application architecture knowledge to deploy and scale AI and ML applications.

Written by Trendated Staff