Vision

To be a department with global recognition through innovative teaching process, product development and research excellence in Artificial Intelligence and Data Science.

Mission

• Provide the highest quality of teaching and learning opportunities to the students with a well-researched and carefully crafted curriculum.
• Enable the students to develop projects and products in latest technologies related to data science and artificial intelligence with the help of industrial collaboration.
• Develop a top notch research culture by empowering students and faculty in fundamentals and applications of data science and artificial intelligence.
• Educate the students to apply their skills in solving social challenges in an ethical manner.

B.Tech Artificial Intelligence and Data Science

Duration: 4 years (Regular) / 3 Years (Lateral Entry)

No. of Semesters: 8 (Regular) / 6 (Lateral Entry)

Intake / No. of Seats: 60

Regulations 2021

Regulations 2019

PEO 1: Acquire the expertise in artificial intelligence and data science essential for real-time problems.

PEO 2: Have the abilities to establish teams, exhibit leadership traits, and uphold moral principles that are crucial for operating ethically and professionally.

PEO 3: Develop the necessary competencies to become entrepreneurs, data scientists, and business owners in the field of artificial intelligence and data science.

PEO 4: Continue to learn technological advancements through higher studies and research.

PO 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

PO 2. 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

PO 3. 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 health and safety, and the cultural, societal, and environmental considerations

PO 4. Conduct investigations of complex problems: Use research-based knowledge and research methodsincluding design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions

PO 5. 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

PO 6. 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

PO 7. 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

PO 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice

PO 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

PO 10. 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

PO 11. 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

PO 12. 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

PSO 1: Integrate the foundations of mathematical, analytical, programming and domain knowledge to build AI enabled systems for solving real world problems

PSO 2: Acquire skills to model the data science assisted systems and to analyse the data to solve business related problem

To enhance the learning experience, we have integrated industry curriculum in the course. This helps students to learn practically in the real time and get a chance to solve real world problems.

At KPR Institute of Engineering and Technology, Industries regularly contribute to the course through seminars, workshops, conducting short term courses, hackathons etc. You don’t just learn, you learn beyond.

You will have six fundamental subjects and choose two electives in the first year. In the second year students will learn through projects and research. Third year students will get an opportunity to learn real time intensive project partnering with industry. The final semester will end with a Project and Internship at Industry.