Two years management in IT at XISS Ranchi - Value for money for students and recruiters ?
With the phenomenal digital transformation happening in
every sphere of work in organisations, specially with the changing scenario of
Covid19 pandemic, technology is undoubtedly
the ‘game changer’ for business - big or small.
Cloud platforms, data science and IT services, are
changing the way business is being done. Organisations and institutions which
could adopt technology faster are seen to be performing better. The influence can be felt across domains –
BFSI, retail & ecommerce, manufacturing, health care and several other
services.
Organisations today are looking for professionals and
managers who are ‘future ready’ with knowledge and skills in IT / Tech and Data
Science, who can add value to their job roles.
While there has been a surge in similar courses being
offered by many B Schools including the IIMs, most covered primarily the Data
Science or Data Analytics or Big data. This MBA programme covers IT management
and Data Analytics including Artificial Intelligence (AL) Machine Learning
(ML), deep learning and related tools, techniques and algorithms
“XISS Ranchi aims to create managers, who will be fully
equipped to manage the new paradigm of ‘tech & data’ combination to drive
decision-making. Students will have exposure to statistical theory, data
management including big data, and business intelligence systems. It was
designed with a holistic approach - one which helps students with imparting
managerial knowledge and training as per business requirements” said Dr. Joseph
Marianus Kujur, SJ Director,
XISS.
The PGDM IT programme at XISS
Ranchi, which is AICTE approved, is tailored as per globally benchmarked
curriculum and validated by a board of studies comprising eminent practitioners
from India and abroad.
How does
the IT Program by XISS PGDM offer an edge ?
PGDM IT Syllabus cover entire IT Curriculum as per Industry
Topic covered
●
Data
Structure, Database Management System and others
● Cloud
Computing Data Warehouse Data Mining Object Oriented Programming
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