Department of Artificial Intelligence and Data Science

Core Values

Academic Excellence

Aspiring to the highest possible standards of teaching, learning, and assessment to provide a solid academic foundation.

Innovation and Creativity

Fostering creative problem-solving and innovative thinking through leading-edge research and experiential experimentation.

Ethics and Responsibility

Encouraging ethics, fairness, and responsible use of technology in AI and data-driven decision-making.

Collaboration and Inclusivity

Encouraging teamwork, diversity, and an inclusive learning culture that honors every voice and viewpoint.

Lifelong Learning

Developing a culture of ongoing learning to evolve in the rapidly changing technology environment.

Societal Impact

Utilizing AI and data science to solve everyday issues and enhance the standard of life in society.

Focus Areas

Artificial Intelligence

Fundamental concepts in AI such as intelligent agents, search algorithms, knowledge representation, and decision-making.

Machine Learning & Deep Learning

Learning models through data to make predictions, such as neural networks, CNNs, RNNs, and transformers.

Data Analytics and Visualization

Methods for extracting information from big datasets and displaying it in a proper manner using software such as Python, R, and Tableau.

Big Data Technologies

Development involving distributed systems and big data technologies like Hadoop, Spark, and NoSQL databases.

Natural Language Processing (NLP)

Handling and creating human language using AI for tasks such as chatbots, sentiment analysis, and translation.

Computer Vision

Allowing machines to understand visual information using image classification, object detection, and pattern recognition.

AI Ethics and Governance

Investigating the ethical, legal, and societal aspects of using AI in real-world situations.

Capstone Projects & Industry Integration

Final-year project-based solution to real-world problems, internships, and industry mentorship programs.