Wednesday, February 24, 2021

Build your acumen for the hottest job of the century with an industry-focused MS in AI & ML Ops from NMIMS Global & INSOFE

NMIMS Global, India’s Top Ed-Tech University & INSOFE, Asia’s top Data Science school launch a 24-month online Master of Science in Artificial Intelligence and Machine Learning Ops

Mumbai 23rd February 2021: 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 created an insatiable 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. Therefore, NMIMS Global with knowledge partner INSOFE have designed the online 24-month Master of Science program in Artificial Intelligence and Machine Learning Operations (MS in AI and ML Ops) to provide 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.

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


There has been a 45% increase in adoption of AI in India* b and almost 65% of the jobs in the IT sector will witness transition in job roles over the next five years due to automation and digitisation* c . Currently, there are close to 91000 artificial intelligence personnel working across enterprises in India with a median salary of INR 14.7 Lakhs *f . Due to this phenomenon the Indian tech industry is poised to add 1.38 lakh jobs in FY20-21 alone *e 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 access to NMIMS Global’s job portal and gain CV & interview assistance.


The Master of Science in Artificial Intelligence and Machine Learning Ops is designed 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 allows students to apply knowledge via multiple routes such as internal assessment, examination while gaining hands-on experience at a Bootcamp and acquiring in-depth knowledge through a Scholar-guided Masters’ Dissertation.

The 5-day residential on-campus bootcamp 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 encourage 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. Students will be able to; - 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 & Reinf orcement learning.

- Draw strong computational and application architecture knowledge to deploy and scale AI and ML applications.

LEARN FROM THE BEST During the program, students will learn from the sharpest leading minds in the field of AI & ML. They will gain academic and industry insight from expert faculty including 50+ nationally acclaimed scholars, PhD. Holders from Top Universities with 75+ patents, 20+ years average work experience and 300+ research papers. They together bring depth in the approach to Data Science education.

Knowledge partner INSOFE has routinely ranked amongst the top Data Science schools in the country and has academic affiliations with several high-ranking Indian and International Universities and several prominent institute-industry. Moreover, NMIMS Global and INSOFE are both names to reckon within the halls of the top corporates of India with alumni who have successfully transitioned to key leadership positions at Capgemini, Optum, Quadratyx, DXC technologies, Ericsson, HP, Honeywell, MosChip, Target, Tesco, Tech Mahindra, Amazon, Credit Suisse, Flipkart, Rakuten, BYJU’s, Arcadis, The Math company, Sutherland, Uber, Soothsayer Analytics.

About NMIMS Global

NMIMS Global (NGA-SCE) is the online & executive learning arm of the SVKM’s NMIMS Deemed-to-be University. Established in 1994, the institution embarked upon the journey towards making excellent management and technology education truly accessible. With a focus on incremental innovation, the institution is unique in its approach as it uses technology across all aspects of functioning and learning delivery. The institution offers programs such as an executive MBA in Business Analytics, MSc in Applied Finance, PG Diploma in Business Management, Professional Diploma, Diploma and Certificate Programs with industry-specific specialisations.

The school was established by SVKM’s NMIMS Deemed-to-be University which has been ranked among the Top-100 University by National Institutional Ranking Framework (NIRF).

The University has also been conferred the Autonomy Category I status by the University Grants Commission (UGC).


International School of Engineering (INSOFE) – one of Asia’s largest Data Science schools represents NGASCE as a knowledge partner to provide deep technical training in the field of Artificial Intelligence, Data Science & Machine Learning.

INSOFE is a world-class research, consulting and education institution with a focus on baking Data Science ways of solving problems in many domains like healthcare, supply chain, financial markets, and robotics. It is present in Hyderabad, Bengaluru and Mumbai in India and has partner university programs in France, USA, UK and Canada. In addition, the institute works with global enterprise leaders extensively helping them adopt Data Science in their organizations.

INSOFE’s unique aspects:

● 70+ Faculty

● 4 products, 75 patents, 1000+ publications, 100+ conference proceedings

● 100+ enterprise training events per year

● 6000+ Alumni

INSOFE specialises in

● Creating innovative academic programs in applications of Data Science in various domains.

● Researching the changing roles within the enterprise due to the proliferation of Data Science

● Create & offer suitable intervention driven hands-on programs for each of these roles.

● Conducting research, building IP, innovating products and consulting with companies to help solve some extremely challenging real-world problems.



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