Shridevi Institute of Engineering and Technology

Admissions For All UG & PG Courses (2025-26) Management Seats Is Now Open • CET CODE – E-130, PGCET: MBA – B282, M.Tech – T872, MCA - (C603)

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

This branch came into existense from the year 2019. Students pursuing this course get a Bachelor's Engineering Degree in Artificial Intelligence and Data Science. Every year, a maximum of 60 students can get enroled in the course.We have a set of highly qualified faculty members who share their knowledge and experience with the group of budding engineers. Students not only learn the concepts but also get equipped with practical knowledge. Further, the students are equipped with necessary skills needed by industrial professionals.

OUR VISION

To enable students to become job providers and not just remain as job seekers.

OUR MISSION

•To train the studentsb in the usage of the most recently developed tools.
•To provide a platform for the students in getting trained in GenAI tools.
•To impart the ability to students in tackling complex scientific problems.
•To formulate activities encoraging team work.

HOD PROFILE

Dr. Girish L

Head of the Department

EMAIL

HOD MESSAGE

Shridevi Institute of Engineering and Technology located in Karnataka State offers one of the best-pioneered engineering programs Artificial Intelligence and Data Science (AI and DS). The Department has a team of well-qualified, committed, and experienced faculty members. AI and DS is the most contemporary technology that is influential in transforming the future of industry and mankind.Our department aims to produce skilled professionals in the domain of AI and DS and enable them to excel professionally in their careers through excellence in teaching, training, and research. It also provides state-of-the-art laboratory facilities to the students to get better practical exposure

Artificial Intelligence and Data Science is a course designed to capture the innovation and creativity of young ebullient minds through a series of courses designed for the particular purpose. Utilizing the skills of the students enable them to transform abstract knowledge to working models that cater to the needs of the industry and society at large has been the aim of formulating this course. The students perform a wide range of tasks that help them in designing systems pertaining to analysis of textual as well as image data.

Data is the blood of any system. Majority of industries and academic institutions focus on developing systems on the fly by incorporating live and correct data. Optimization is another area that has been less explored although this concept is available from time immemorial. This course bridges the gap and makes the students ready not only to take up the challenges of industries but also provide a platform for enhancing the skills and techniques needed for research at a global level.

Cutting-edge Curriculum: Artificial Intelligence (AI) and Data Science programs offer a  curriculum covering machine learning, deep learning, natural language processing, computer vision and data analytics. It provides students with a strong foundation in AI technologies.

Hands-on Learning: Emphasis is placed on practical learning through projects, case studies, and internships, allowing students to apply theoretical concepts to real-world datasets and industry scenario.

Industry-Relevant Skills: Programs focus on developing skills in programming, statistical analysis, data visualization and algorithm development, ensuring graduates are well-equipped for careers in data-driven industries such as finance, healthcare and technology.

Research Opportunities: Opportunities for involvement in research projects enable students to explore advanced topics in AI and data science, contributing to innovations in areas such as predictive modeling, optimization, and machine learning algorithms.

Industry Partnerships: Encourage collabaration with various software industries for providing students with an industrial perspective.

Ethical Considerations: Programs address ethical and societal implications of AI and data science, emphasizing proper data handling, privacy protection and bias mitigation in algorithmic decision-making.

Multidisciplinary Approach: AI and Data Science programs encourage interdisciplinary collaboration with fields like computer science, mathematics, psychology and business, enabling students for tackling complex problems from diverse perspectives.

Professional Development:Workshops and Seminars help students develop essential skills in communication, teamwork, and project management. Students are made industry-ready.