Artificial Intelligence & Data Science
The future is AI & DS... Driving the world with Data and Intelligence
Programme Scope
The biggest ever technological advancement this century has witnessed is making machines to think and act like human, engaging the science of Artificial Intelligence, powered by Data.
AI driven by Data will be dominant in every aspect of human life with the scope for its application becoming limitless. Autonomous Vehicles, Virtual Assistants (Alexa, Siri), Domestic Assistants (maid robots), are some of the existing examples, while many are being developed every single day.
The field of AI & DS is emerging as the most promising one for young engineers who have a flair for data and visualization.
Learning Scope
At Sri Eshwar, we provide the AI & ML students the ability to acquire skills to design intelligent solutions in a futuristic world.
The students will know to develop out insights with intellectual curiosity, by learning various technologies including Deep learning, Computer Vision, Data Science, Predictive Analytics, AR/VR, Natural Language Processing and Robotics, Software Technologies, OOPs Concepts and Database Management System.
Career Progression Scope
With rapidly increasing focus on AI & DS by the industry, the students have abundant scope for employment in various industries including Healthcare, Travel & Transportation, Fast Moving Consumer Goods (FMCG) as Data Scientist, Data Analyst, Machine Learning Architect, Software Developers.
4 years
curriculum
Industry Powered
Laboratories
60 Seats
Intake
Laboratories
Industrial Powered Laboratories
Events Organized
Consultancy
Magazine
Laboratories
Artificial Intelligence and Robotics Lab
Data Science Laboratory
Big Data Analytics Laboratory
Machine Learning Laboratory
Natural Language and Machine Translation Laboratory
Full Stack Development Laboratory
Computer Programming Laboratory
Generative AI Laboratory
Computer Vision and Image Processing Laboratory
Industrial Powered Laboratories
Events Organized
Consultancy
Magazine
Student List
Vision
- To build a conducive academic and research environment in the stream of Artificial Intelligence and Data Science for enabling global education, research and entrepreneurship.
Mission
We will achieve our mission by:
- Regularly assess and enhance the curriculum, integrating the latest advancements in artificial intelligence and data science to ensure relevance and global competitiveness.
- Provide state-of-the-art technological infrastructure & cutting-edge technologies conducive world-class research, innovation and quality learning experience for both faculty and students.
- Empower faculty of artificial intelligence and data science through continuous professional development, research support and global collaborations to deliver quality education aligned with international standards.
- Establish student-centric learning environment that empowers future innovators in the dynamic field of artificial intelligence through rigorous academic programs, cutting-edge research opportunities, and industry-aligned projects.
- Conduct outreach activities for the society that involve the use of artificial intelligence, data science and machine learning concepts to deal with societal issues.
Program Details
Program Educational Objectives (PEO)
- PEO1: To enable graduates to pursue higher education and research or have a successful career in industries associated with Artificial Intelligence and Data Science, or as entrepreneurs..
- PEO2: To demonstrate excellence in cutting-edge technologies of Artificial Intelligence and Data Science and solve problems in society.
- PEO3: To exhibit professional ethics, involvement in team work in their profession and contributing to the advancement of society.
Program Outcomes (PO)
- 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
Program Specific Outcomes (PSO)
- PSO1: Apply the principles of artificial intelligence that require problem solving, inference, perception, knowledge representation, and learning.
- PSO2: Demonstrate the ability to build innovative solutions from the data models, addressing the needs of Industry and society.
Faculty Profile
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor