About The Department
AI&DS is an emerging and interdisciplinary field that blends methodologies from statistics, cognitive science, computing, and information sciences to extract meaningful insights from both structured and unstructured data. These insights are instrumental in enabling intelligent decision-making across various industries and domains.
The curriculum emphasizes the development of data-driven solutions, data visualization techniques, and the use of machine learning and deep learning models to solve complex computational and real-world problems. Students are trained in key areas including data collection, categorization, analysis, strategy formulation, and interpretation, ensuring a holistic approach to Data Science and Artificial Intelligence.
What is Artificial Intelligence?
Artificial Intelligence (AI) is the simulation of human intelligence in machines that are designed to think, act, and solve problems like humans—often faster and more efficiently. Core areas of AI include:
• Machine learning and predictive modeling
• Automation of processes
• Speech recognition and translation systems
What is Data Science?
•Data Science, a crucial subset of AI, involves the scientific study and analysis of large volumes of data using advanced algorithms, techniques, and tools. It includes:
• Data preprocessing, analysis, and visualization
• Predictive modeling and data-driven decision making
• Techniques of data analytics and statistical processing
• With AI and Data Science becoming vital to business innovation and automation, professionals in this field are among the most in-demand and highly compensated in the job market today.
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Core Areas Covered in the AI&DS Program:
• Predictive Analytics and Data Visualization
• Big Data Analytics
• Natural Language Processing (NLP)
• Artificial Neural Networks (ANN)
• Augmented Reality (AR) and Virtual Reality (VR)
• Cognitive Computing
• Deep Learning
• Robotic Process Automation (RPA)
Career Opportunities
The Graduates of the AI&DS program are equipped with cross-disciplinary skills and are prepared to pursue challenging roles in futuristic industries such as:
• Healthcare
• Business and E-commerce
• Social Media and Networking
• Climatology
• Biotechnology
• Genetics
POTENTIAL CAREER ROLES INCLUDE:
• Data Analyst