The managerial landscape is rapidly changing due to the advancement in ICT and web enabled business platforms. Leadership in an organization are required to make appropriate decisions which is a judicious combination of the context data available and other subjective aspects. Optimal solution is no more the requirement, rather an appropriate solution is the key for success in the context of an organization. Rational decision making driven by data has now evolved to incorporate tools and techniques of data sciences, artificial intelligence, machine learning etc. To be an impactful leader in the context of an organization, there is a need to combine softer aspects with purely data driven solutions in order to solve problems efficiently and effectively.
2-year long full-time Masters programme, distributed in 4 semesters.
A blend of contemporary management concepts, soft skills towards developing individuals, and relevant applications of data science tools.
The total credit requirement is 70.
The program aims to provide an in-depth exposure on data science tools and techniques like analytics, artificial intelligence machine learning, deep learning, natural language processing, and neural networks with a strong emphasis on problem solving approach.
Exposure to fundamentals of business management with special emphasis on contemporary and emerging topics.
Personality development by adequate exposure to soft skills like communication, creativity, and emotional intelligence etc.
In-depth exposure to tools and techniques like of DS, AI, ML etc. with a strong emphasis on problem solving approach.
Evolve as leaders of an organisation who can combine rational and subjective skills in the context of an organisation to make appropriate decisions.
The courses covered during the program will include basic to advance topics from the following broad areas:
*In the third and fourth semester, participants will be offered a pool of electives to choose from the advanced courses offered by the institute as well as a project under the guidance of a faculty or industry expert