IMS Ghaziabad Inks MoU with IBM to strengthen PGDM-Big Data Analytics Programme
Sakshi.Garg, 19 Jun 2019, #IMS Ghaziabad
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IMS Ghaziabad has launched Two Year full-Time PGDM programme in Big Data Analytics in collaboration with global IT major IBM. The objective of the programme is to bridge the skill gap of the prevailing current breed of data analytics professionals. This would ensure the supply of professionals with the right skill sets to propel India in embracing Industry 4.0 quickly. The Programme has been approved by AICTE.

PGDM Big Data Analytics Programme of IMS Ghaziabad has been built on a rigorous curriculum and promises, incredible career aspects for the prospective students in the largest job growth sector in the economy. We intend to offer value-added international certifications by IBM, accelerated learning, classroom diversity, cutting edge technology and high-quality faculty.

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The MoU with IBM intends to deliver world-class training and exposure to all students. The MoU was signed in the presence of Prof. Alok Pandey –Director, IMS, Prof. Tapan Nayak, Dean Academics, Prof. Avadhesh Kumar Gupta, Dean-New Programme Development and representatives from IBM including Lalit Yagnik, Damodar Dani and Anuka Kumar.

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This MoU with IBM would cover the establishment of IBM Business Analytics Lab at IMS with latest data analytics software and tools including Watson, Cognos, SPSS Modeler, R, Python, Tableau and training to all students. The MoU would ensure support for students by IBM certified professionals in the area of Business Intelligence, Predictive Analytics, Big Data Engineering, Artificial intelligence. IBM would also offer international certification to all students in various specialized areas.

The main thrust of this program is to imbibe a sense of Big Data outlook in solving business problems. Various job sectors comprising of job offers in the specialized area of Big Data Analytics include job profiles such as Business Analytics specialist, Predictive Analytics, Big Data Engineer, Machine Learning analyst, BI Specialist, Big Data Architect, Data visualization developer, sales/ marketing/CRM/Risk analytics specialist etc.

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