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About Department of Artificial Intelligence & Data Science

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Artificial Intelligence and Data Science

Bachelor of Technology in Artificial Intelligence and Data Science is a 4-year undergraduate degree program, which is offered under the Engineering stream. Artificial Intelligence and Data Science programs, which are a vital component of a number of real-world applications, are prepared for the intelligent analysis of students.

In the graduate program in Artificial Intelligence, students are taught languages that are understood by computers or machines that enable people to engage with them to accomplish certain functionality. Some of the most prevalent machine languages taught to B. Tech students are the languages such as JAVA, Prolog, Lisp, R, and Python. With this course, students acquire disciplinary skills in areas such as stats, IT, machine learning and logic, data researchers, and employment chances in healthcare, commerce, e-commerce, social networking firms, climatology, biotechnology, genetics, and more.


To impart quality education, promote collaborative research and industry-ready engineers with ethical values in the domain of Artificial Intelligence and Data Science.

M1 To excel in teaching-learning process and collaborative research with modern teaching methodologies.
M2 To establish a centre of excellence to prepare professional technocrats to solve industry problems.
M3 To motivate students to emerge as entrepreneurs with leadership qualities to fulfil Industry and community needs with ethical standards.

PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2 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.
PO3 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.
PO4 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.
PO5 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.
PO6 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.
PO7 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.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10 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.
PO11 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.
PO12 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 Implement Artificial Intelligence and Data Science techniques such as search algorithms, neural networks, machine learning and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship.
PSO 2 Apply the skills in the areas of health care, education, agriculture, intelligent transport, environment, smart systems and in the multi-disciplinary area of Artificial Intelligence and Data Science.

PEO1 The graduates are ready with industrial standards to solve social and environment-related problems for making sustainable ecosystems.
PEO2 The graduates have professional skills and equipped with advanced technologies to become data scientists and data analysts.
PEO3 Graduates will have the ability to explore research and produce outstanding contribution in various areas of Artificial Intelligence and Data science.

Previous Question Papers


Programming Language Lab

Programming refers to a technological process for telling a computer which tasks to perform in order to solve problems. You can think of programming as collaboration between humans and computers, in which humans create instructions for a computer to follow (code) in a language computers can understand.

Database Related Lab

Database Lab Platform is a unified solution that helps developers, DBAs, SREs, and QA engineers boost their work with PostgreSQL databases. They all can get their work done much faster thanks to the thin cloning of databases and the high level of automation of various tasks that the Platform offers.

Networks related lab

The laboratory networks were established to provide accurate and timely laboratory confirmation of infections, an essential component of disease surveillance systems. The laboratory networks provide high-quality surveillance data to help guide disease eradication, elimination and control programmers.

Algorithms related lab

This short course is designed for students who plan to learn about common data structures with efficient algorithms, solve LeetCode problems, and know state- of-the-art information techniques. The achievements of Algorithms Lab are listed below:

Faculty List

1 Dr. Y. Ravi Kumar Ph.D. Professor
2 Dr. Sk. Hussain Shariff Ph.D. Professor
3 Dr. M. Manohar Kumar Ph.D. Associate Professor
4 Dr. M. Ravi Sankar Ph.D. Associate Professor
5 V. Gopi Nath M.Tech Assistant Professor
6 K. Krishna Chaithanya Kumar M.Tech Assistant Professor
7 G. Chinna Srinivasa Rao M.Tech Assistant Professor
8 G.T. Hari Krishna Murthy M.Tech Assistant Professor
9 A. Surekha M.Tech Assistant Professor
10 B. Sahithya M.Tech Assistant Professor
11 K. Masthan Rao M.Tech Assistant Professor
12 S. Sukanya M.Tech Assistant Professor
13 M. Ranesh Kumar M.Tech Assistant Professor
14 T. Sai Ram M.Tech Assistant Professor
15 G. Karthik M.Tech Assistant Professor
16 B. Venkata Krishna Reddy M.Tech Assistant Professor
17 J. Gangadhar M.Tech Assistant Professor
18 K. Mohan Kumar M.Tech Assistant Professor


Toppers List

21KQ1A5491 R KALYANI 9
21KQ1A5495 T BHARGAVI 8.8
21KQ1A5471 B AMULYA 8.9
21KQ1A5447 K SAI 9
21KQ1A5422 SK KOUSER 9

20KQ1A5416 K.Madhavi 9.3
20KQ1A5430 S.Sai Javali 9.2
20KQ1A5428 SHAIK. SEEMA 9.2
20KQ1A5404 A.Dedeepya 9.1
20KQ1A5424 P.Kousar 9
20KQ1A5433 T.Saathwika 9
20KQ1A5463 V.Vijay prakash 9
20KQ1A5435 V.Venkata Jahnavi 8.9