Artificial Intelligence & Data Science

The future is AI & DS... Driving the world with Data and Intelligence

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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 & DS students the ability to acquire skills to design intelligent solutions ina 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.

Vision

To produce exclusive software professionals who shall effectively contribute to the leveraging field of Artificial Intelligence and Data Science.

Mission

We will achieve our Vision by:

  • Providing Excellent Infrastructure facilitating the students and faculty members with recent trends and technologies.
  • Imparting High-Quality Education to the students also instigating them with ethical and moral values.
  • Enabling students to enhance their research abilities to address various society-oriented issues through Innovative projects
  • Collaborating with various Industries to make students industry ready

Program Educational Objectives (PEO)

  • PEO1 : Ability to understand, apply, analyze, design models and applications for all the real-world scenarios related to AI and DS.
  • PEO2 : Practice engineering in a broader aspect and exhibit professional leadership qualities in their field.
  • PEO3 : Enhancing technological competence to withstand the challenges in the volatile IT industry.
  • PEO4 : To be committed in Life -long research and Learning activities that supports societal development.

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. Practically apply the knowledge acquired to various multi- disciplinary problems.
  • PSO2. Expertise in the latest software tools and technologies related to Artificial intelligence and Machine learning.
  • PSO3. Conduct various research activities and contribute the findings of the relevant domain.
  • PSO4. Enrich their abilities to qualify for Employment in the field of AI and DS.
  • 4 years curriculum
  • Intake: 60 Seats
  • Industry Powered
    Laboratories

  • Computer Practice laboratory
  • DBMS and Networking Laboratory
  • Networking Lab
  • Case tools and Graphics laboratory
  • Project Lab
  • CSE Research Lab
  • IT Center

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    Admission enquiry for the batch 2020