Academic Schedule 2023-2024

Artificial Intelligence & Data Science

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Course Study


Create high-quality software professionals.


To educate and generate at least 90% of the students as competent professionals to become part of the industry and research organizations.

To give personalized training to the students with arrears, identifying their strength and weakness for the improvement of the academic results on an average of 85%.

Offer a variety of blended learning methodology for overall personality improvement.

Time Table



Developing the machines in game playing, speech recognition machine, language detection machine, computer vision, expert systems, robotics and many more

Prepare students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications.

Providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in areas of machine learning and big data analytics.

Students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists.

Will have a career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas.

can work as Business Analyst, Data Analyst, Intelligence Analyst, Data Manager, Information Security Analyst, Risk Analyst, Machine Learning Researchers, AI Engineer, Data Mining and Analysis Engineer, Machine Learning Engineer, Data Scientist, Business Intelligence Developer.

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    Assistant Professor & Head of the Department

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