Advance their technical skills to pursue pioneering research in the field of AI and Data
Science and create disruptive and sustainable solutions for the welfare of ecosystems.

Think logically, pursue lifelong learning and collaborate with an ethical attitude in a
multidisciplinary team.

Design and model AI based solutions to critical problem domains in the real world.

Exhibit innovative thoughts and creative ideas for effective contribution towards economy
building.

Problem analysis:

Identify, formulate, review research literature, and analyze complex
engineering problems reaching substantiated conclusions using first principles of
mathematics, natural sciences, and engineering sciences.

Design/development of solutions:

Design solutions for complex engineering problems and
design system components or processes that meet the specified needs with appropriate
consideration for the public

Conduct investigations of complex problems:

Use research-based knowledge
and research methods including design of experiments, analysis and interpretation of data,
and synthesis of the information to provide valid conclusions.

Modern tool usage:

Create, select, and apply appropriate techniques, resources, and
modern engineering and IT tools including prediction and modeling to complex engineering
activities with an understanding of the limitations.

The engineer and society:

Apply reasoning informed by the contextual knowledge to
assess societal, health, safety, legal and cultural issues and the consequent responsibilities
relevant to the professional engineering practice.

Environment and sustainability:

Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics:

Apply ethical principles and commit to professional ethics and responsibilities and
norms of the engineering practice.

Individual and team work:

Function effectively as an individual, and as a member or
leader in diverse teams, and in multidisciplinary settings.

Communication:

Communicate effectively on complex engineering activities with the
engineering community and with society at large, such as, being able to comprehend and write
effective reports and design documentation, make effective presentations, and give and receive
clear instructions.

Project management and finance:

Demonstrate knowledge and understanding of the
engineering and management principles and apply these to one’s own work, as a member and
leader in a team, to manage projects and in multidisciplinary environments.

Life-long learning:

Recognize the need for, and have the preparation and ability to
engage in independent and life-long learning in the broadest context of technological change.

Arrive at actionable Foresight, Insight, hindsight from data for solving business and
engineering problems

Create, Select and Apply the theoretical knowledge of AI and Data Analytics along with
practical industrial tools and techniques to manage and solve wicked societal problems

Develop Data Analytics and Data Visualization Skills, skills pertaining to knowledge acquisition,
knowledge representation and knowledge engineering, and hence be capable of coordinating
complex projects.

Able to carry out fundamental research to cater the critical needs of the society through
cutting edge technologies of AI.