The program is structured around five pillars to give a unique experience in continuously acquiring knowledge and developing managerial skills relevant to the digital era and the art of learning. This One-year MBA in Digital Enterprise Management (DEM) is a cross-pollination of Quantitative methods and Creative thinking.

Fundamentals of Business Management

One Year MBA - DEM provides a grounding in management concepts and fundamentals of business activities like finance and accounting, economics, marketing, organisational behaviour and operations. Core skill development is enhanced through subjects like Business Statistics and Communication.

Fundamentals of Digital Enterprise

The use of technology characterises a digital enterprise. Data is a critical element in decision-making. Further, digital enterprises are agile, flexible, and highly scalable regarding their operative speeds and response to changes.

DEM provides a specific focus on the management of such organisations, which are modelled on scale, speed and scope parameters. DEM covers Design Thinking, strategic management and leadership skills required to create and sustain a digital organisation. The program prepares managers to manage transformations and to thrive in agile organisation structures with fungible roles and responsibilities.

Data Analytics & Technology Management

Following the learning that data is core to Digital, the DEM program prepares its participants for analytics - a method of drawing inferences from a large and complex data pool. The techniques learnt will help a discerning mind to develop capabilities in data collection organisation and use them for strategic and operational decision-making. The art and science of spotting trends and, interpreting the results, and articulating the discoveries from new patterns are essential skills to hone. Hence, the concepts of visualisation and storytelling in general and analytics in particular are part of this pillar.

Technologies like cloud computing, AI, Blockchain, and many others are emerging as new forms of data management. These include create, access, process, store and retrieve functions prevalent in the digital world. Understanding how such technologies work in the context of business automation and improving business outcomes is part of the expected learning.

Digital Industry Practices

Learning the concepts and understanding how these concepts are put into practice becomes the next logical step in learning. DEM covers digitalisation in different industries such as FinTech, Social Sector etc. Understanding the use of digital concepts in not-for-profit applications sensitises students to the all-encompassing virtues of digital technologies.

Solving Business Problems through Projects

Learning the concepts and understanding their real-world applications prepares the participants of DEM for practical experience. Understanding technologies and data from close quarters is the purpose of doing projects. Projects involve solving business problems by developing a practical solution that can be demonstrated through Demos / Prototypes / Wireframes.

This adds to the experiential learning and exposes the participants to the management of people, processes and technology, which are core to a transformational journey. Working on new technologies, using large and complex sets of data and applying the conceptual learnings in a lab environment of a project strengthens the participants’ confidence in the subject. It reinforces their abilities to face real-life challenges of dealing with uncertainties.

Thus, DEM is designed to let participants learn in multiple ways - in the classroom, through workshops and projects. Participants of this program go through lectures and case studies, business simulations and assignments, and individual and group lab projects, which academicians and practitioners teach.

The course is structured over four terms, providing students with a comprehensive and gradual learning experience in Digital Enterprise Management, allowing them to build on their knowledge and skills progressively.