Programme Educational Objectives (PEOs)

B.Tech. Artificial Intelligence and Data Science graduates will:

PEO1. Domain Knowledge:

Possess diversified knowledge and expertise in the domain of Artificial Intelligence and Data Science.

PEO2.Problem solving skills and Ethics:

Apply computing skills to identify the challenges and to develop creative ethical solutions

PEO3. Lifelong Learning and development:

Involve in lifelong learning, research and development to fulfill social needs using latest technology.

Programme Outcomes (POs)

On successful completion of B.Tech. Artificial Intelligence and Data Science, graduating students/graduates will be able to:

PO 1. Engineering knowledge:

Apply the knowledge of mathematics, science, engineering fundamentals, concepts of Artificial Intelligence and data science to solve complex engineering problems

PO 2. Problem analysis:

Identify, review literature, formulate and analyze complex engineering problems using first principles of mathematics and engineering sciences.

PO 3. Design and Development of Solutions:

Design and develop AI based solutions for complex engineering problems with societal and environmental awareness.

PO 4. Complex problem Investigation:

Investigate complex problems by employing skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering to arrive at valid conclusions.

PO 5. Modern Tool Usage:

Evaluate and use Data analysis tools and AI based techniques for effective decision making in business and engineering domains.

PO 6. Societal contribution:

Follow professional engineering practice by applying contextual knowledge to assess societal and legal issues .

PO 7. Environment and Sustainability:

Understand and provide professional engineering solutions taking into consideration environmental and economic sustainability.

PO 8. Ethics:

Follow ethical principles and norms in engineering practice.

PO 9. Individual and Team work:

Function effectively as an individual, team member or leader in diversified environments.

PO 10. Communication:

Communicate and present the actionable insights of data using reports through various modes for all professional activities.

PO 11.Project Management and Finance :

Apply Engineering knowledge and management principles for effective project management in multi-disciplinary environments.

PO 12. Life-long Learning:

Engage in independent life-long learning and skill development for professional and social well being.

Programme Specific Outcomes (PSOs)

PSO 1. Software Automation :

Develop customized automation solutions for Engineering and business problems using intelligent techniques.

PSO 2. Data Engineering :

Predict significant information and visualize large scale data using latest technologies.