NMIMS Global along with INSOFE recently announced the launch of a 24-month Master of Science program in Artificial Intelligence and Machine Learning Operations (MS in AI and ML Ops). The program aims to help working professionals to gain a strong foothold in the AI industry.
“A recent study found that 30% of tasks in 60% jobs will be automated and 80 million US & 15 million UK jobs might be affected. But the fact we must pay attention to is that the jobs themselves won’t entirely disappear; rather, they will be redefined,” said Rajiv Shah, Director and CEO, NMIMS Global. He believes the MS in AI and ML Ops will allow a student to upgrade, acquire and master in-demand tools and skills without taking a break from their career.
Further, 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 in various enterprises, both in the private and public domains.
“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,” said Dr Dakshinamurthy V Kolluru, President, INSOFE.
Features Of The Program
Extensive classes: 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.
Career Assistance: Career assistance is an integral part of the MS in AI & ML Ops program. Students will get access to 500-plus top hiring partners of NMIMS Global & INSOFE along with access to NMIMS Global’s job portal, resume and interview assistance.
Hands-on sessions: The five-day residential on-campus Bootcamp will be held in Mumbai and provide a hands-on opportunity to solve real industry problems, and also build and scale prototypes and applications.
Real industry experience: The Dissertation project will cover 200 hours working with complex research-driven data to solve business problems. It will let students pick from industry-relevant electives such as computer vision, NLP, big data, robotics, reinforcement learning and more.
Learn from the best: Students will learn from the sharpest minds in the field of AI & ML. They will gain academic and industry insights from expert faculty including 50+ nationally acclaimed scholars and PhD holders from top universities.
By the end of the program, 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 & Reinforcement learning.
- Acquire strong computational and application architecture knowledge to deploy and scale AI and ML applications.
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Srishti currently works as Associate Editor at Analytics India Magazine. When not covering the analytics news, editing and writing articles, she could be found reading or capturing thoughts into pictures.