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Departments@GMRIT-DU CSE (Artificial Intelligence & Data Science)

About the Department

The Artificial Intelligence & Data Science (AIDS) Department at GMR Institute of Technology (Deemed to be University) is focused on developing skilled professionals in the fields of artificial intelligence, data analytics, and intelligent systems. The department emphasizes strong theoretical foundations along with practical exposure to modern tools and technologies relevant to data-driven industries.

With a curriculum designed to meet current industry demands, the department fosters innovation, critical thinking, and research-oriented learning. Students are equipped to analyze complex data, build intelligent solutions, and adapt to emerging trends in artificial intelligence and data science across various domains.

Our Vision

To be a preferred department of learning for students and teachers alike, with a commitment towards Academics & Research, serving the students in an atmosphere of innovation, critical thinking and making them Industry ready.

Our Mission

  • To provide adaptable education in a collaborative and innovative environment in skilling the graduates to solve real world problems in the field of Computer Science and Engineering.
  • To prepare the students as critical thinking professionals with multidisciplinary research orientation and Innovation.
  • To instil ethical values and nurture the graduates who will be able to contribute to society.

Highlights of the Department

Placements

N/A
Highest Package
N/A
Placements
N/A
Companies Visited
N/A
Average Package

Research

39+
Journal Publications
25
Conference Publications
35
FDP's / Workshops

Programs Offered

B.Tech.

UG
B.Tech. - Computer Science and Engineering (AI&DS)

Emphasizes data science and AI techniques for data-driven decision making.

PEO

PEO1
Employ logical and analytical skills in solving complex real-world engineering problems in the areas of Computer Science and allied fields.
PEO2
Adaptable to emerging technologies with enhanced professional skills and ability towards continuous learning, facilitating higher studies and research.
PEO3
Demonstrate professional ethics, leadership qualities, and promote inclusive and collaborative growth with human values towards societal interest.

Program Outcomes (POs) & Program Specific Outcomes (PSOs)

PO1
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2
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 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
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
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
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
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
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
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
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.
PSO1
Implement principles of computer science focusing on the concepts of artificial intelligence and machine learning in developing solutions to the real world problems.
PSO2
Facilitate data driven decision making using machine learning algorithms for process analyzing and visualization in various domains.

Head of the Department

Dr. K. Jayasri
Dr. K. Jayasri
Professor & HOD - CSE-AI & DS
M.Tech., Ph.D.
As the Head of this glorious department, I believe that hardwork is the only way to reach our goals, and I always tell my students to remember a famous quote, "Hard work beats talent when talent doesn't work hard."

I wish you all the very best for your future endeavors and have joyful learning at this institute.

With Best Wishes, Dr. K.Jayasri, M.Tech., Ph.D. Professor and HoD