Artificial intelligence and data science encompass a broad range of applications, platforms and other technologies aimed at mimicking human intelligence using technology. Artificial intelligence is action-planned perception feedback. Data Science employs various components of this pattern or loop to solve specific problems. Machine learning is the connecting factor between Data Science and AI. This is due to the fact that it is the process of learning from data through time. As a result, AI is a tool that assists data scientists in obtaining answers and solutions to specific challenges. However, machine learning is what makes that aim possible. Data Science encompasses AI, which includes machine learning. However, machine learning encompasses another sub-technology known as Deep Learning.

To empower women engineers with cutting-edge knowledge and skills in Artificial Intelligence and Data Science,
fostering innovation, leadership, and ethical practices to drive transformative changes in society and industry.

Mission 1: Provide a rigorous and comprehensive education in Artificial Intelligence and Data Science.
Mission 2: Foster a culture of research and innovation among students and faculty
Mission 3: Equip students with the skills and confidence to take on leadership roles in their careers
Mission 4: Promote ethical considerations and the responsible use of AI and Data Science to benefit society.

PEO 1: To demonstrate technical proficiency and a deep understanding of fundamental and advanced concepts in
Artificial Intelligence and Data Science in solving complex engineering problems.
PEO 2: To engage in innovative practices and research, contributing to the development of new technologies and
solutions by advancing the frontiers of knowledge and technology
PEO 3: To exhibit leadership qualities and the ability to work effectively in multidisciplinary teams, demonstrating
strong communication, project management, and teamwork skills to drive successful project outcomes.
PEO 4: To uphold ethical standards and demonstrate a commitment to social responsibility, ensuring that their
work positively impacts society and adheres to legal and ethical guidelines.

• Mathematical Foundations of Computing
• Artificial intelligence
• Neural networks
• Pattern recognition
• Algorithms
• Machine Learning
• Language processing
• Robotics
• Automata
• Deep learning
• Sensors
• Programming languages – or C, Java, Python etc.
• Database Management and Big Data Analytics
• Data Visualization

• Artificial intelligence and Data science have penetrated almost every domain, and it’s high time to decide and make a smart career move to these domains. Companies seek candidates with competencies in core data science and artificial intelligence concepts, statistics, computer science and programming, data structures, algorithms, and system design. AI and Data Science domain provides one of the well-paid jobs in the industry right now. Data science positions are in high demand across many industries, with numerous openings.
  As data science and artificial intelligence professionals, they will be able to work with

• Information technology and services companies
• Management consulting, banking sector
• Computer science, information technology, and research areas, as well as any company’s or organization’s systems area
• Companies specializing in systems outsourcing
• Support and technology solutions consultant
• Any organization that requires ongoing innovative solutions
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The best business employers of AI and Data Science like Amazon, Apple, Google, Facebook, DJI and many more companies hires for the following job roles.

• Data Scientist
• Data Analyst
• Data Architect
• Machine Learning Enginee
• Statistician
• Business Intelligence Developer
• Big Data Engineer/Data Engineer
• Data Warehouse Engineer
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