Shridevi Institute of Engineering and Technology

• Admissions For All UG Courses (2024-25) Management Seats Is Now Open, • CET CODE – E-130, PGCET: MBA – B282 ,M.Tech – T872

Artificial intelligence and data science is a new field of study that combines scientific procedures, processes, and techniques from several fields such as statistics, cognitive science, computing and information science to extract knowledge from both structured and unstructured data. Data science has evolved as one of the most high-growth, dynamic, and highly-paid technological careers during the last 10 years. All industries are highly adopting AI for a competitive advantage.

The outcome of this course is students will gain cross-disciplinary skills in the fields such as AI, data visualization, data analytics, deep learning, machine learning, semantic web and social network analytics, data security and privacy, and blockchain technologies.


Aspire to produce competent Artificial Intelligence and Data Science professionals through excellence in teaching, training, and research.


To develop professionals who are skilled in the area of Artificial Intelligence and Data Science.

Dr.Girish L

Head of the Department



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 the 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.

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

2. 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 scenarios.

3. 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.

4. 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.

5. Industry Partnerships: Collaborations with industry partners provide students with internships, co-op programs, and networking opportunities, bridging the gap between academic learning and industry practice.

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

7. Multidisciplinary Approach: AI and Data Science programs encourage interdisciplinary collaboration with fields such as computer science, mathematics, psychology, and business, enabling students to tackle complex problems from diverse perspectives.

8. Professional Development: Career services, workshops, and seminars help students develop essential skills in communication, teamwork, and project management, enhancing their readiness for the workforce.

9. Innovation and Entrepreneurship: Programs foster innovation and entrepreneurship through initiatives such as hackathons, startup incubators, and industry-sponsored projects, empowering students to develop and commercialize AI-driven solutions and products.

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