Artificial Intelligence (AI) is any technique that enables computers to mimic human intelligence. AI is an interdisciplinary science with multiple approaches to build smart machines capable of performing tasks that typically require human intelligence. Data Science (DS) is an umbrella term for a group of fields that are used to analyze large datasets. It is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms. With Data Science, we build models that use statistical insights. On the other hand, AI is for building models that emulate cognition and human understanding. Data Science does not involve a high degree of scientific processing as compared to AI. Blend of AI & DS allows the students to get best of both worlds.

Companies are focusing on AI-centric growth that can operate on algorithms and hence enable better customer experience. To enable the graduating students to be ready for the paradigm shift B.E. programme in AI & DS is designed to provide the foundations for job roles like, AI Engineer, AI Data Analyst, Data Engineer, Data Scientist, etc in the evolving job market scenario.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs):                                                                                                                                           Graduates of AI & DS will be able to:
1. Adapt emerging technologies of Artificial Intelligence & Data Science and develop state of the art solutions in the fields of Manufacturing, Agriculture, Health-care, Education, and Cyber Security.
2. Exhibit professional leadership qualities to excel in interdisciplinary domains.
3. Possess human values, professional ethics, application-oriented skills, and engage in lifelong learning.
4. Contribute to the research community to meet the needs of public and private sectors.

PROGRAM SPECIFIC OUTCOMES (PSOs):                                                                                                                                    After successful completion of the program, students will be able to:
1. Exhibit proficiency of Artificial Intelligence and Data Science in providing sustainable solutions by adapting to societal, environmental and ethical concerns to real world problems.
2. Develop professional skills in the thrust areas like ANN and Deep learning, Robotics, Internet of Things and Big Data Analytics.
3. Pursue higher studies in Artificial Intelligence and Data Science in reputed Universities and to work in research establishments.

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